Keli Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	On the Limitation of Kernel Dependence Maximization for Feature Selection	2024	Keli Liu Feng Ruan
+	Kernel Learning in Ridge Regression "Automatically" Yields Exact Low Rank Solution	2023	Yunlu Chen Yang Li Keli Liu Feng Ruan
+	Taming Nonconvexity in Kernel Feature Selection -- Favorable Properties of the Laplace Kernel	2021	Feng Ruan Keli Liu Michael I. Jordan
+	On the Self-Penalization Phenomenon in Feature Selection	2021	Michael I. Jordan Keli Liu Feng Ruan
+	Searching for Interactions: Why the Laplace Kernel is your Friend.	2020	Keli Liu Feng Ruan
+	More powerful post-selection inference, with application to the Lasso	2018	Keli Liu Jelena Markovic Robert Tibshirani
+ PDF Chat	There Is Individualized Treatment. Why Not Individualized Inference?	2016	Keli Liu Xiao‐Li Meng
+	There is Individualized Treatment. Why Not Individualized Inference?	2015	Keli Liu Xiao‐Li Meng
+ PDF Chat	Comment: A Fruitful Resolution to Simpson’s Paradox via Multiresolution Inference	2014	Keli Liu Xiao‐Li Meng

Common Coauthors

Coauthor	Papers Together
Feng Ruan	3
Xiao‐Li Meng	3
Feng Ruan	2
Michael I. Jordan	2
Yunlu Chen	1
Jelena Markovic	1
Robert Tibshirani	1
Yang Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Toward a Reconciliation of the Bayesian and Frequentist Approaches to Point Estimation	1994	Francisco J. Samaniego D. M. Reneau	2
+	Two new properties of mathematical likelihood	1934	Ronald Aylmer Fisher	2
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	2
+ PDF Chat	The case for objective Bayesian analysis	2006	James O. Berger	2
+ PDF Chat	A survey of cross-validation procedures for model selection	2010	Sylvain Arlot Alain Célisse	2
+	Calibrated Bayes	2006	Roderick J. A. Little	2
+ PDF Chat	Conditional Properties of Statistical Procedures for Location and Scale Parameters	1979	G. K. Robinson	2
+ PDF Chat	The Interplay of Bayesian and Frequentist Analysis	2004	M. J. Bayarri James O. Berger	2
+	The Selection of Prior Distributions by Formal Rules	1996	Robert E. Kass Larry Wasserman	2
+ PDF Chat	Inferential Models: A Framework for Prior-Free Posterior Probabilistic Inference	2013	Ryan Martin Chuanhai Liu	2
+	Estimated Loss and Admissible Loss Estimators	1988	Andrew L. Rukhin	2
+ PDF Chat	Is Bayes Posterior just Quick and Dirty Confidence?	2011	D. A. S. Fraser	2
+	Testing a Point Null Hypothesis: The Irreconcilability of<i>P</i>Values and Evidence	1987	James O. Berger Thomas Sellke	2
+ PDF Chat	The Roles of Conditioning in Inference	1995	Nancy Reid	2
+	Data Analysis Using Stein's Estimator and its Generalizations	1975	Bradley Efron Carl N. Morris	2
+ PDF Chat	Miracles and Statistics: The Casual Assumption of Independence	1988	William Kruskal	2
+	Likelihood-Based Analysis of Causal Effects of Job-Training Programs Using Principal Stratification	2009	Junni L. Zhang Donald B. Rubin Fabrizia Mealli	2
+	<i>P</i>Values for Composite Null Models	2000	M. J. Bayarri James O. Berger	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+	Parametric Empirical Bayes Inference: Theory and Applications	1983	Carl N. Morris	2
+ PDF Chat	Estimation of Normal Means: Frequentist Estimation of Loss	1989	Kun-Liang Lu James O. Berger	2
+	Replication validity of genetic association studies	2001	John P. A. Ioannidis Evangelia Ntzani Thomas A Trikalinos Despina G. Contopoulos‐Ioannidis	2
+ PDF Chat	A trio of inference problems that could win you a Nobel Prize in statistics (if you help fund it)	2014	Xiao‐Li Meng	2
+ PDF Chat	Statistical Inference: The Big Picture	2011	Robert E. Kass	2
+	Likelihood Inference and Time Series	1962	G. A. Barnard Gwilym M. Jenkins C. B. Winsten	2
+	Some Problems Connected with Statistical Inference	1958	David R. Cox	2
+	Wavelet Shrinkage: Asymptopia?	1995	David L. Donoho Iain M. Johnstone Gérard Kerkyacharian Dominique Picard	2
+ PDF Chat	Principles of Statistical Inference	2006	David Cox	2
+	On Improved Loss Estimation for Shrinkage Estimators	2012	Dominique Fourdrinier Martin T. Wells	2
+	Stein's Paradox in Statistics	1977	Bradley Efron Carl N. Morris	2
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	2
+	An invariant form for the prior probability in estimation problems	1946	Harold Jeffreys	2
+ PDF Chat	Why Isn't Everyone a Bayesian?	1986	B. Efron	2
+	Model Selection and the Principle of Minimum Description Length	2001	Mark Hansen Bin Yu	2
+ PDF Chat	An Introduction to Empirical Bayes Data Analysis	1985	George Casella	2
+	The Empirical Bayes Approach to Statistical Decision Problems	1964	Herbert Robbins	2
+ PDF Chat	The 1988 Neyman Memorial Lecture: A Galtonian Perspective on Shrinkage Estimators	1990	Stephen M. Stigler	2
+	Sensitivity of Bayes Inference with Data-Dependent Stopping Rules	1984	Paul R. Rosenbaum Donald B. Rubin	2
+ PDF Chat	Ancillaries and Conditional Inference	2004	D. A. S. Fraser	2
+ PDF Chat	Default Priors for Bayesian and Frequentist Inference	2010	D. A. S. Fraser Nancy Reid Elisabetta Marras Grace Y. Yi	2
+ PDF Chat	Objective Priors: An Introduction for Frequentists	2011	Malay Ghosh	2
+	Conditional Permutation Tests and the Propensity Score in Observational Studies	1984	Paul R. Rosenbaum	2
+ PDF Chat	On the use of Non-Local Prior Densities in Bayesian Hypothesis Tests	2010	Valen E. Johnson David Rossell	2
+	Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts	2000	James M. Robins Larry Wasserman	2
+ PDF Chat	Correlation and Large-Scale Simultaneous Significance Testing	2007	Bradley Efron	1
+	ANCILLARY STATISTICS: A REVIEW	2010	Mainak Ghosh Nancy Reid D. A. S. Fraser	1
+ PDF Chat	The Functional-Model Basis of Fiducial Inference	1982	A. P. Dawid M. Stone	1
+	Conditional Statistical Inference and Quantification of Relevance	2003	Rolf Sundberg	1
+	Statistical Learning with Sparsity	2015	Trevor Hastie Robert Tibshirani Martin J. Wainwright	1
+	An Introduction to the Bootstrap	1994	Bradley Efron Robert Tibshirani	1