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UNIFORM-IN-SUBMODEL BOUNDS FOR LINEAR REGRESSION IN A MODEL-FREE FRAMEWORK
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2021
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Arun Kumar Kuchibhotla
Lawrence D. Brown
Andreas Buja
Edward I. George
Linda Zhao
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Semi-Supervised Linear Regression
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2021
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David Azriel
Lawrence D. Brown
Michael Sklar
Richard A. Berk
Andreas Buja
Linda Zhao
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Valid post-selection inference in model-free linear regression
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2020
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Arun Kumar Kuchibhotla
Lawrence D. Brown
Andreas Buja
Junhui Cai
Edward I. George
Linda Zhao
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Hazard rate estimation for call center customer patience time
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2019
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Han Ye
Lawrence D. Brown
Haipeng Shen
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All of Linear Regression
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2019
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Arun Kumar Kuchibhotla
Lawrence D. Brown
Andreas Buja
Junhui Cai
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Semi-supervised inference: General theory and estimation of means
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2019
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Anru R. Zhang
Lawrence D. Brown
Tianxi Cai
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Empirical Bayes estimates for a two-way cross-classified model
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2018
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Lawrence D. Brown
Gourab Mukherjee
Asaf Weinstein
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A Model Free Perspective for Linear Regression: Uniform-in-model Bounds for Post Selection Inference
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2018
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Arun Kumar Kuchibhotla
Lawrence D. Brown
Andreas Buja
Edward I. George
Linda Zhao
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Group-Linear Empirical Bayes Estimates for a Heteroscedastic Normal Mean
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2018
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Asaf Weinstein
Zhuang Ma
Lawrence D. Brown
CunâHui Zhang
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Valid Post-selection Inference in Assumption-lean Linear Regression
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2018
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Arun Kumar Kuchibhotla
Lawrence D. Brown
Andreas Buja
Edward I. George
Linda Zhao
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Model-free Study of Ordinary Least Squares Linear Regression
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2018
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Arun Kumar Kuchibhotla
Lawrence D. Brown
Andreas Buja
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Uniform-in-Submodel Bounds for Linear Regression in a Model Free Framework
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2018
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Arun Kumar Kuchibhotla
Lawrence D. Brown
Andreas Buja
Edward I. George
Linda Zhao
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Stationary Gaussian Markov processes as limits of stationary autoregressive time series
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2017
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Philip Ernst
Lawrence D. Brown
L. A. Shepp
Robert L. Wolpert
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Spatio-temporal low count processes with application to violent crime events
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2016
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Sivan Aldor-Noiman
Lawrence D. Brown
Emily B. Fox
Robert A. Stine
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A semiparametric multivariate partially linear model: A difference approach
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2016
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Lawrence D. Brown
Michael Levine
Lie Wang
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Empirical Bayes Estimates for a 2-Way Cross-Classified Additive Model
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2016
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Lawrence D. Brown
Gourab Mukherjee
Asaf Weinstein
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Comment
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2016
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Lawrence D. Brown
Kory D. Johnson
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Semi-supervised Inference: General Theory and Estimation of Means
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2016
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Anru R. Zhang
Lawrence D. Brown
Tianxi Cai
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Semi-Supervised linear regression
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2016
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David Azriel
Lawrence D. Brown
Michael Sklar
Richard A. Berk
Andreas Buja
Linda Zhao
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Efficient Empirical Bayes Prediction Under Check Loss Using Asymptotic Risk Estimates
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2016
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Gourab Mukherjee
Lawrence D. Brown
Paat Rusmevichientong
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Empirical Bayes prediction for the multivariate newsvendor loss function
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2015
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Gourab Mukherjee
Lawrence D. Brown
Paat Rusmevichientong
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Comment
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2015
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Lawrence D. Brown
Daniel McCarthy
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Efficient Empirical Bayes prediction under check loss using Asymptotic Risk Estimates
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2015
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Gourab Mukherjee
Lawrence D. Brown
Paat Rusmevichientong
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Models as Approximations - A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression
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2015
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Andreas Buja
Richard A. Berk
Lawrence D. Brown
Edward I. George
Emil Pitkin
Mikhail Traskin
Linda Zhao
Kai Zhang
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Group-Linear Empirical Bayes Estimates for a Heteroscedastic Normal Mean
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2015
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Asaf Weinstein
Zhuang Ma
Lawrence D. Brown
CunâHui Zhang
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<b>Aldor-Noiman, S., Brown, L.D., Buja, A., Rolke, W., and Stine, R.A. (2013), âThe Power to See: A New Graphical Test of Normality,â<i>The American Statistician</i>, 67, 249â260</b>
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2014
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Sivan Aldor-Noiman
Lawrence D. Brown
Andreas Buja
Wolfgang Rolke
Robert A. Stine
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Minimax Theory
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2014
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Lawrence D. Brown
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Uniform Correlation Mixture of Bivariate Normal Distributions and Hypercubically Contoured Densities That Are Marginally Normal
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2014
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Kai Zhang
Lawrence D. Brown
Edward I. George
Linda Zhao
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Uniform Correlation Mixture of Bivariate Normal Distributions and Hypercubically Contoured Densities That Are Marginally Normal
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2014
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Zhang Kai
Lawrence D. Brown
Edward I. George
Linda Zhao
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The Power to See: A New Graphical Test of Normality
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2013
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Sivan Aldor-Noiman
Lawrence D. Brown
Andreas Buja
Wolfgang Rolke
Robert A. Stine
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Spatio-Temporal Low Count Processes with Application to Violent Crime Events
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2013
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Sivan Aldor-Noiman
Lawrence D. Brown
Emily B. Fox
Robert A. Stine
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The Poisson Compound Decision Problem Revisited
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2013
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Lawrence D. Brown
Eitan Greenshtein
Yaâacov Ritov
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PDF
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SURE Estimates for a Heteroscedastic Hierarchical Model
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2012
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Xianchao Xie
S. C. Kou
Lawrence D. Brown
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A Geometrical Explanation of Stein Shrinkage
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2012
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Lawrence D. Brown
Linda Zhao
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An autoregressive approach to house price modeling
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2011
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Chaitra H. Nagaraja
Lawrence D. Brown
Linda Zhao
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PDF
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A difference based approach to the semiparametric partial linear model
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2011
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Lie Wang
Lawrence D. Brown
Tommaso Cai
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Ensemble Minimax Estimation for Multivariate Normal Means
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2011
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Lawrence D. Brown
Hui Nie
Xianchao Xie
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PDF
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Nonparametric regression in exponential families
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2010
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Lawrence D. Brown
Tommaso Cai
Harrison H. Zhou
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Envisioning the 2020 Census
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2010
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Lawrence D. Brown
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Confidence intervals for nonparametric regression
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2010
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Lawrence D. Brown
Xin Fu
Linda Zhao
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Nonparametric empirical Bayes and compound decision approaches to estimation of a high-dimensional vector of normal means
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2009
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Lawrence D. Brown
Eitan Greenshtein
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ESTIMATORS FOR GAUSSIAN MODELS HAVING A BLOCK-WISE STRUCTURE
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2009
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Lawrence D. Brown
Linda Zhao
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Robust nonparametric estimation via wavelet median regression
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2008
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Lawrence D. Brown
Tommaso Cai
Harrison H. Zhou
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PDF
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Admissible predictive density estimation
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2008
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Lawrence D. Brown
Edward I. George
Xinyi Xu
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Effect of mean on variance function estimation in nonparametric regression
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2008
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Lie Wang
Lawrence D. Brown
Tommaso Cai
Michael Levine
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In-season prediction of batting averages: A field test of empirical Bayes and Bayes methodologies
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2008
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Lawrence D. Brown
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Experimentation and evaluation plans for the 2010 census : interim report
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2008
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Lawrence D. Brown
Michael L. Cohen
Daniel Cork
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Variance estimation in nonparametric regression via the difference sequence method
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2007
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Lawrence D. Brown
Michael Levine
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A Unified View of Regression, Shrinkage, Empirical Bayes, Hierarchical Bayes, and Random Effects
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2007
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Lawrence D. Brown
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Non-parametric modelling of time-varying customer service times at a bank call centre
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2006
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Haipeng Shen
Lawrence D. Brown
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Efficient estimation of log-normal means with application to pharmacokinetic data
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2005
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Haipeng Shen
Lawrence D. Brown
Hui Zhi
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Comment: Fuzzy and Randomized Confidence Intervals and P-Values
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2005
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Lawrence D. Brown
Tommaso Cai
Anirban Dasgupta
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Minimax Theory
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2005
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Lawrence D. Brown
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Equivalence theory for density estimation, Poisson processes and Gaussian white noise with drift
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2004
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Lawrence D. Brown
Andrew V. Carter
Mark G. Low
CunâHui Zhang
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Statistical properties of the method of regularization with periodic Gaussian reproducing kernel
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2004
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Yi Lin
Lawrence D. Brown
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INTERVAL ESTIMATION IN EXPONENTIAL FAMILIES
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2003
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Lawrence D. Brown
Tommaso Cai
Anirban Dasgupta
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Asymptotic equivalence theory for nonparametric regression with random design
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2002
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Lawrence D. Brown
Tommaso Cai
Mark G. Low
CunâHui Zhang
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Confidence Intervals for a binomial proportion and asymptotic expansions
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2002
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Lawrence D. Brown
Tommaso Cai
Anirban Dasgupta
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Statistical equivalence and stochastic process limit theorems
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2002
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Lawrence D. Brown
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A test for the poisson distribution
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2002
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Lawrence D. Brown
Linda Zhao
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PDF
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Interval Estimation for a Binomial Proportion
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2001
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Lawrence D. Brown
Tommaso Cai
Anirban Dasgupta
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Decision Theory: Classical
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2001
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Lawrence D. Brown
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An Essay on Statistical Decision Theory
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2000
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Lawrence D. Brown
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Testing Average Equivalence â Finding a Compromise Between Theory and Practice
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2000
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Axel Munk
J. T. Gene Hwang
Lawrence D. Brown
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Asymptotic nonequivalence of nonparametric experiments when the smoothness index is ½
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1998
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Lawrence D. Brown
CunâHui Zhang
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Superefficiency in nonparametric function estimation
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1997
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Lawrence D. Brown
Mark G. Low
Linda Zhao
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PDF
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An unbiased test for the bioequivalence problem
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1997
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Lawrence D. Brown
J. T. Gene Hwang
Axel Munk
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PDF
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Good exact confidence sets for a multivariate normal mean
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1997
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Yu-Ling Tseng
Lawrence D. Brown
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PDF
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A constrained risk inequality with applications to nonparametric functional estimation
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1996
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Lawrence D. Brown
Mark G. Low
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PDF
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Asymptotic equivalence of nonparametric regression and white noise
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1996
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Lawrence D. Brown
Mark G. Low
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Optimal Confidence Sets, Bioequivalence, and the Limaçon of Pascal
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1995
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Lawrence D. Brown
George Casella
J. T. Gene Hwang
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A Unified Conditional Frequentist and Bayesian Test for Fixed and Sequential Simple Hypothesis Testing
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1994
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James O. Berger
Lawrence D. Brown
Robert L. Wolpert
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How to Approximate a Histogram by a Normal Density
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1993
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Lawrence D. Brown
J. T. Gene Hwang
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Bounds on the Bayes and minimax risk for signal parameter estimation
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1993
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Lawrence D. Brown
R.C. Liu
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PDF
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Nonexistence of Informative Unbiased Estimators in Singular Problems
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1993
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Richard C. Liu
Lawrence D. Brown
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The asymptotic risk in a signal parameter estimation problem
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1993
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Lawrence D. Brown
R.C. Liu
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Optimal Confidence Sets, Bioequivalenc:e, and the Lim~n of Pascal
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1993
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Lawrence D. Brown
George Casella
J. T. Gene Hwang
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On the admissibility of the maximumâlikelihood estimator of the binomial variance
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1992
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Lawrence D. Brown
Mosuk Chow
Duncan Î. H. Fong
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Two-Sided Sequential Tests
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1992
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Lawrence D. Brown
Eitan Greenshtein
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PDF
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Estimated Confidence Under the Validity Constraint
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1991
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Jiunn Tzon Hwang
Lawrence D. Brown
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PDF
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Information Inequality Bounds on the Minimax Risk (with an Application to Nonparametric Regression)
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1991
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Lawrence D. Brown
Mark G. Low
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A Lower Bound for the Risk in Estimating the Value of a Probability Density
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1990
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Lawrence D. Brown
Roger H. Farrell
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Information Inequalities for the Bayes Risk
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1990
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Lawrence D. Brown
LesĹaw Gajek
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A Lower Bound for the Risk in Estimating the Value of a Probability Density
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1990
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Lawrence D. Brown
Roger H. Farrell
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PDF
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An Ancillarity Paradox Which Appears in Multiple Linear Regression
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1990
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Lawrence D. Brown
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PDF
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Rejoinder: An Ancillarity Paradox which Appears in Multiple Linear Regression
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1990
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Lawrence D. Brown
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PDF
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Complete Class Results for Hypothesis Testing Problems with Simple Null Hypotheses
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1989
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Lawrence D. Brown
John I. Marden
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PDF
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Universal Domination and Stochastic Domination: $U$-Admissibility and $U$- Inadmissibility of the Least Squares Estimator
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1989
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Lawrence D. Brown
Jiunn Tzon Hwang
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Admissibility in Discrete and Continuous Invariant Nonparametric Estimation Problems and in their Multinomial Analogs
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1988
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Lawrence D. Brown
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PDF
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Inequalities for Multivariate Infinitely Divisible Processes
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1988
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Lawrence D. Brown
Yosef Rinott
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Proof of a necessary and sufficient condition for admissibility in discrete multivariate problems
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1988
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Lawrence D. Brown
R. H. Farrell
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The Differential Inequality of a Statistical Estimation Problem
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1988
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Lawrence D. Brown
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Fundamentals of statistical exponential families with applications in statistical decision theory
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1986
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Lawrence D. Brown
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Chapter 5: Maximum Likelihood Estimation
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1986
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Lawrence D. Brown
Lawrence D. Brown
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Appendix to Chapter 4: Pointwise Limits of Bayes Procedures
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1986
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Lawrence D. Brown
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Chapter 7: Tail Probabilities
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1986
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Lawrence D. Brown
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Some limitation on stein's phenomenon
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1986
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Lawrence D. Brown
J. T. Gene Hwang
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Tail Behaviour for Suprema of Empirical Processes
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1986
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Robert J. Adler
Lawrence D. Brown
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Commentary on Paper [19]
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1986
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Lawrence D. Brown
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All Admissible Linear Estimators of a Multivariate Poisson Mean
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1985
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Lawrence D. Brown
R. H. Farrell
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An Alternative to Student's $t$-Test for Problems with Indifference Zones
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1984
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Lawrence D. Brown
Harold B. Sackrowitz
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HODGESâLEHMANN EFFICACIES FOR LIKELIHOOD RATIO TYPE TESTS IN CURVED BIVARIATE NORMAL FAMILIES
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1984
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Lawrence D. Brown
F.H. Ruymgaart
D. Rodney Truax
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A Sharp Necessary Condition for Admissibility of Sequential Tests-- Necessary and Sufficient Conditions for Admissibility of SPRT'S
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1983
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Lawrence D. Brown
Arthur Cohen
Ester SamuelâCahn
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Variation Diminishing Transformations: A Direct Approach to Total Positivity and its Statistical Applications
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1981
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Lawrence D. Brown
Iain M. Johnstone
K. Brenda MacGibbon
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Inadmissibility of Large Classes of Sequential Tests
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1981
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Lawrence D. Brown
Arthur Cohen
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PDF
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A Complete Class Theorem for Statistical Problems with Finite Sample Spaces
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1981
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Lawrence D. Brown
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Bounded Stopping Times for a Class of Sequential Bayes Tests
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1981
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Robert H. Berk
Lawrence D. Brown
Arthur Cohen
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PDF
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Properties of Bayes Sequential Tests
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1981
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Robert H. Berk
Lawrence D. Brown
Arthur Cohen
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PDF
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A Necessary Condition for Admissibility
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1980
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Lawrence D. Brown
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Complete Classes for Sequential Tests of Hypotheses
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1980
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Lawrence D. Brown
Arthur Cohen
William E. Strawderman
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Monotonicity of Bayes Sequential Tests
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1979
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Lawrence D. Brown
Arthur Cohen
William E. Strawderman
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A Heuristic Method for Determining Admissibility of Estimators--With Applications
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1979
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Lawrence D. Brown
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CounterexampleâAn inadmissible estimator which is generalized bayes for a prior with âlightâ tails
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1979
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Lawrence D. Brown
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On the Admissibility or Inadmissibility of Fixed Sample Size Tests in a Sequential Setting
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1979
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Lawrence D. Brown
Arthur Cohen
William E. Strawderman
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The Development of a Parolee Classification System Using Discriminant Analysis
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1978
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Lawrence D. Brown
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Minimax Estimation of a Normal Mean Vector for Arbitrary Quadratic Loss and Unknown Covariance Matrix
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1977
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James O. Berger
Mary Ellen Bock
Lawrence D. Brown
George Casella
Leon Jay Gleser
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A Complete Class Theorem for Strict Monotone Likelihood Ratio With Applications
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1976
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Lawrence D. Brown
Arthur Cohen
William E. Strawderman
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Estimation with Incompletely Specified Loss Functions (the Case of Several Location Parameters)
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1975
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Lawrence D. Brown
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Estimation with Incompletely Specified Loss Functions (the Case of Several Location Parameters)
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1975
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Lawrence D. Brown
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PDF
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Admissibility in Statistical Problems Involving a Location or Scale Parameter
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1974
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Lawrence D. Brown
Martin Fox
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PDF
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Admissibility of Procedures in Two-Dimensional Location Parameter Problems
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1974
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Lawrence D. Brown
Martin Fox
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Non-Local Asymptotic Optimality of Appropriate Likelihood Ratio Tests
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1971
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Lawrence D. Brown
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On the Admissibility of Invariant Estimators of One or More Location Parameters
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1966
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Lawrence D. Brown
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