Patrick O. Perry

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All published works
Action Title Year Authors
+ Profile likelihood biclustering 2020 Cheryl Flynn
Patrick O. Perry
+ PDF Chat Fitting a deeply nested hierarchical model to a large book review dataset using a moment-based estimator 2019 Ningshan Zhang
Kyle Schmaus
Patrick O. Perry
+ PDF Chat Estimating the Number of Clusters Using Cross-Validation 2019 Wei Fu
Patrick O. Perry
+ Estimating the number of clusters using cross-validation 2019 Wei Fu
Patrick O. Perry
+ Estimating the Number of Clusters Using Cross-Validation 2019 Wei Fu
Patrick O. Perry
+ Fitting a deeply-nested hierarchical model to a large book review dataset using a moment-based estimator 2018 Ningshan Zhang
Kyle Schmaus
Patrick O. Perry
+ Estimating the number of clusters using cross-validation 2017 Wei Fu
Patrick O. Perry
+ Scaling Text with the Class Affinity Model 2017 Patrick O. Perry
Kenneth Benoit
+ Fast moment‐based estimation for hierarchical models Series B Statistical methodology 2017 Patrick O. Perry
+ PDF Chat Fast Moment-Based Estimation for Hierarchical Models 2016 Patrick O. Perry
+ Fast Moment-Based Estimation for Hierarchical Models 2015 Patrick O. Perry
+ Fast Moment-Based Estimation for Hierarchical Models 2015 Patrick O. Perry
+ Singular Value Decomposition and High Dimensional Data 2014 Genevera I. Allen
Patrick O. Perry
+ PDF Chat Point Process Modelling for Directed Interaction Networks 2013 Patrick O. Perry
Patrick J. Wolfe
+ Degrees of freedom for combining regression with factor analysis 2013 Patrick O. Perry
Natesh S. Pillai
+ Singular Value Decomposition and High Dimensional Data 2012 Genevera I. Allen
Patrick O. Perry
+ Consistent Biclustering 2012 Cheryl Flynn
Patrick O. Perry
+ Null models for network data 2012 Patrick O. Perry
Patrick J. Wolfe
+ Regularized Laplacian Estimation and Fast Eigenvector Approximation 2011 Patrick O. Perry
Michael W. Mahoney
+ PDF Chat Point Process Modeling for Directed Interaction Networks 2011 Patrick O. Perry
Patrick J. Wolfe
+ Regularized Laplacian Estimation and Fast Eigenvector Approximation 2011 Patrick O. Perry
Michael W. Mahoney
+ PDF Chat Minimax Rank Estimation for Subspace Tracking 2010 Patrick O. Perry
Patrick J. Wolfe
+ PDF Chat Bi-cross-validation of the SVD and the nonnegative matrix factorization 2009 Art B. Owen
Patrick O. Perry
+ Cross-Validation for Unsupervised Learning 2009 Patrick O. Perry
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Eigenvalues of large sample covariance matrices of spiked population models 2005 Jinho Baik
Jack W. Silverstein
5
+ PDF Chat Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices 2005 Jinho Baik
GĂ©rard Ben Arous
Sandrine Péché
5
+ PDF Chat On the distribution of the largest eigenvalue in principal components analysis 2001 Iain M. Johnstone
5
+ PDF Chat A rate of convergence result for the largest eigenvalue of complex white Wishart matrices 2006 Noureddine El Karoui
4
+ Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models 1978 Svante Wold
4
+ ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL 2007 Debashis Paul
4
+ PDF Chat Bi-cross-validation of the SVD and the nonnegative matrix factorization 2009 Art B. Owen
Patrick O. Perry
4
+ Determining the number of components in a factor model from limited noisy data 2008 Shira Kritchman
Boaz Nadler
4
+ PDF Chat On the limit of the largest eigenvalue of the large dimensional sample covariance matrix 1988 Yanqing Yin
Zhidong Bai
P. R. Krishnaiah
4
+ PDF Chat Asymptotic Theory for Principal Component Analysis 1963 T. W. Anderson
3
+ PDF Chat Minimax Rank Estimation for Subspace Tracking 2010 Patrick O. Perry
Patrick J. Wolfe
3
+ PDF Chat Level-spacing distributions and the Airy kernel 1994 Craig A. Tracy
Harold Widom
3
+ Accuracy of the Tracy–Widom limits for the extreme eigenvalues in white Wishart matrices 2012 Zongming Ma
3
+ PDF Chat Central limit theorems for eigenvalues in a spiked population model 2008 Zhidong Bai
Jianfeng Yao
3
+ Modern Applied Statistics with S 2002 W. N. Venables
B. D. Ripley
3
+ A note on the largest eigenvalue of a large dimensional sample covariance matrix 1988 Zhidong Bai
Jack W. Silverstein
Yanqing Yin
3
+ Bias reduction of maximum likelihood estimates 1993 David Firth
3
+ PDF Chat A Limit Theorem for the Norm of Random Matrices 1980 Stuart Geman
3
+ Large sample inference in random coefficient regression models 1986 Randy L. Carter
Mark C. K. Yang
2
+ PDF Chat Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples 2008 Raj Rao Nadakuditi
Alan Edelman
2
+ PDF Chat The heat kernel as the pagerank of a graph 2007 Fan Chung
2
+ Non-Parametric Detection of the Number of Signals: Hypothesis Testing and Random Matrix Theory 2009 Shira Kritchman
Boaz Nadler
2
+ The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves 1965 C. Radhakrishna Rao
2
+ None 2002 Alexander Soshnikov
2
+ Finding the Number of Clusters in a Dataset 2003 Catherine A. Sugar
Gareth James
2
+ Sampling for Bayesian computation with large datasets 2005 Zaiying Huang
Andrew Gelman
2
+ PDF Chat Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters 2009 Jure Leskovec
Kevin Lang
Anirban Dasgupta
Michael W. Mahoney
2
+ Stopping Rules in Principal Components Analysis: A Comparison of Heuristical and Statistical Approaches 1993 Donald A. Jackson
2
+ PDF Chat Bias reduction in exponential family nonlinear models 2009 Ioannis Kosmidis
David Firth
2
+ PDF Chat A Modified Principal Component Technique Based on the LASSO 2003 Ian T. Jolliffe
Nickolay T. Trendafilov
Mudassir Uddin
2
+ Aspects of Multivariate Statistical Theory 1984 Leon Jay Gleser
Robb J. Muirhead
2
+ A Spectral Algorithm for Improving Graph Partitions with Applications to Exploring Data Graphs Locally 2009 Michael W. Mahoney
Lorenzo Orecchia
Nisheeth K. Vishnoi
2
+ PDF Chat Two Characterizations of the Dirichlet Distribution 1973 Jasper H. Fabius
2
+ Estimation in Covariance Components Models 1981 A. P. Dempster
DB Rubin
Robert K. Tsutakawa
2
+ Biclustering via Sparse Singular Value Decomposition 2010 Mihee Lee
Haipeng Shen
Jianhua Z. Huang
J. S. Marron
2
+ Spectral partitioning works: planar graphs and finite element meshes 1996 Daniel A. Spielman
Shang‐Hua Teng
2
+ PDF Chat Nearly-linear time algorithms for graph partitioning, graph sparsification, and solving linear systems 2004 Daniel A. Spielman
Shang‐Hua Teng
2
+ On the Quality of Spectral Separators 1998 Stephen Guattery
Gary L. Miller
2
+ PDF Chat Sparse variational analysis of linear mixed models for large data sets 2011 Artin Armagan
David B. Dunson
2
+ Multilevel mixed linear model analysis using iterative generalized least squares 1986 Harvey Goldstein
2
+ Unbalanced Repeated-Measures Models with Structured Covariance Matrices 1986 Robert I. Jennrich
Mark Schluchter
2
+ On the weak limit of the largest eigenvalue of a large dimensional sample covariance matrix 1989 Jack W. Silverstein
2
+ Mean Squared Error Properties of Empirical Bayes Estimators in a Multivariate Random Effects General Linear Model 1985 Gregory C. Reinsel
2
+ PDF Chat Self-consistency: a fundamental concept in statistics 1996 Bernard D. Flury
Thaddeus Tarpey
2
+ Parametric Empirical Bayes Inference: Theory and Applications 1983 Carl N. Morris
2
+ Newton—Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data 1988 Mary J. Lindstrom
Douglas M. Bates
2
+ Probable Inference, the Law of Succession, and Statistical Inference 1927 Edwin B. Wilson
2
+ Model Averaging and Dimension Selection for the Singular Value Decomposition 2007 Peter D. Hoff
2
+ A boundary value problem associated with the second painlevïżœ transcendent and the Korteweg-de Vries equation 1980 S. P. Hastings
John Mcleod
2
+ A fast scoring algorithm for maximum likelihood estimation in unbalanced mixed models with nested random effects 1987 Nicholas T. Longford
2