Richard J. Samworth

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All published works

Action	Title	Year	Authors
+ PDF Chat	Testing conditional independence under isotonicity	2025	Rohan Hore Jake A. Soloff Rina Foygel Barber Richard J. Samworth
+	The projected covariance measure for assumption-lean variable significance testing	2024	Anton Rask Lundborg Ilmun Kim Rajen D. Shah Richard J. Samworth
+	Isotonic subgroup selection	2024	Manuel Müller Henry W. J. Reeve Timothy I. Cannings Richard J. Samworth
+ PDF Chat	Estimation beyond Missing (Completely) at Random	2024	Tianyi Ma Kabir A. Verchand Thomas B. Berrett Tengyao Wang Richard J. Samworth
+ PDF Chat	High-probability minimax lower bounds	2024	Tianyi Ma Kabir A. Verchand Richard J. Samworth
+	A new computational framework for log-concave density estimation	2024	Wenyu Chen Rahul Mazumder Richard J. Samworth
+	asm: Optimal Convex M-Estimation for Linear Regression via Antitonic Score Matching	2024	Yu-Chun Kao Min Xu Oliver Y. Feng Richard J. Samworth
+ PDF Chat	Sharp-SSL: Selective High-Dimensional Axis-Aligned Random Projections for Semi-Supervised Learning	2024	Tengyao Wang Edgar Dobriban Milana Gatarić Richard J. Samworth
+ PDF Chat	Optimal convex $M$-estimation via score matching	2024	Oliver Y. Feng Yu-Chun Kao Min Xu Richard J. Samworth
+ PDF Chat	Optimal subgroup selection	2023	Henry W. J. Reeve Timothy I. Cannings Richard J. Samworth
+ PDF Chat	Optimal nonparametric testing of Missing Completely At Random and its connections to compatibility	2023	Thomas B. Berrett Richard J. Samworth
+	Inference in High-Dimensional Online Changepoint Detection	2023	Yudong Chen Tengyao Wang Richard J. Samworth
+ PDF Chat	Efficient functional estimation and the super-oracle phenomenon	2023	Thomas B. Berrett Richard J. Samworth
+	Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning	2023	Tengyao Wang Edgar Dobriban Milana Gatarić Richard J. Samworth
+	Isotonic subgroup selection	2023	Manuel Müller Henry W. J. Reeve Timothy I. Cannings Richard J. Samworth
+ PDF Chat	High-Dimensional Principal Component Analysis with Heterogeneous Missingness	2022	Ziwei Zhu Tengyao Wang Richard J. Samworth
+ PDF Chat	High-dimensional Changepoint Estimation with Heterogeneous Missingness	2022	Bertille Follain Tengyao Wang Richard J. Samworth
+ PDF Chat	Nonparametric, Tuning-Free Estimation of S-Shaped Functions	2022	Oliver Y. Feng Yining Chen Qiyang Han Raymond J. Carroll Richard J. Samworth
+ PDF Chat	Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission	2022	Dinesh Aggarwal Ben Warne Aminu S. Jahun William L. Hamilton Thomas Fieldman Louis du Plessis Verity Hill Beth Blane Emmeline Watkins Elizabeth Wright
+ PDF Chat	Isotonic regression with unknown permutations: Statistics, computation and adaptation	2022	Ashwin Pananjady Richard J. Samworth
+ PDF Chat	High-Dimensional, Multiscale Online Changepoint Detection	2022	Yudong Chen Tengyao Wang Richard J. Samworth
+ PDF Chat	A Unifying Tutorial on Approximate Message Passing	2022	Oliver Y. Feng Ramji Venkataramanan Cynthia Rush Richard J. Samworth
+	Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility	2022	Thomas B Berrett Richard J. Samworth
+ PDF Chat	A Unifying Tutorial on Approximate Message Passing	2022	Oliver Y. Feng Ramji Venkataramanan Cynthia Rush Richard J. Samworth
+	The Projected Covariance Measure for assumption-lean variable significance testing	2022	Anton Rask Lundborg Ilmun Kim Rajen D. Shah Richard J. Samworth
+	USP: an independence test that improves on Pearson’s chi-squared and the <i>G</i> -test	2021	Thomas B. Berrett Richard J. Samworth
+ PDF Chat	Adaptive transfer learning	2021	Henry W. J. Reeve Timothy I. Cannings Richard J. Samworth
+ PDF Chat	Optimal rates for independence testing via U-statistic permutation tests	2021	Thomas B. Berrett Ioannis Kontoyiannis Richard J. Samworth
+	Nonparametric, Tuning-Free Estimation of S-Shaped Functions [R package Sshaped version 1.0]	2021	Oliver Y. Feng Yining Chen Qiyang Han Raymond J. Carroll Richard J. Samworth
+ PDF Chat	Local continuity of log-concave projection, with applications to estimation under model misspecification	2021	Rina Foygel Barber Richard J. Samworth
+	Adaptive transfer learning	2021	Henry W. J. Reeve Timothy I. Cannings Richard J. Samworth
+ PDF Chat	Bounding distributional errors via density ratios	2021	Lutz Dümbgen Richard J. Samworth Jon A. Wellner
+ PDF Chat	Minimax rates in sparse, high-dimensional change point detection	2021	Haoyang Liu Chao Gao Richard J. Samworth
+ PDF Chat	High-dimensional nonparametric density estimation via symmetry and shape constraints	2021	Min Xu Richard J. Samworth
+	Statistics meets Machine Learning	2021	Fadoua Balabdaoui Lutz Dümbgen Klaus‐Robert Müller Richard J. Samworth
+ PDF Chat	Adaptation in multivariate log-concave density estimation	2021	Oliver Y. Feng Adityanand Guntuboyina Arlene K. H. Kim Richard J. Samworth
+	USP: an independence test that improves on Pearson's chi-squared and the $G$-test.	2021	Thomas B. Berrett Richard J. Samworth
+	A new computational framework for log-concave density estimation	2021	Wenyu Chen Rahul Mazumder Richard J. Samworth
+	Inference in high-dimensional online changepoint detection	2021	Yudong Chen Tengyao Wang Richard J. Samworth
+	High-dimensional changepoint estimation with heterogeneous missingness	2021	Bertille Follain Tengyao Wang Richard J. Samworth
+	Nonparametric, tuning-free estimation of S-shaped functions	2021	Oliver Y. Feng Yining Chen Qiyang Han Raymond J. Carroll Richard J. Samworth
+	Adaptive transfer learning	2021	Henry W. J. Reeve Timothy I. Cannings Richard J. Samworth
+	A unifying tutorial on Approximate Message Passing	2021	Oliver Y. Feng Ramji Venkataramanan Cynthia Rush Richard J. Samworth
+	Optimal subgroup selection	2021	Henry W. J. Reeve Timothy I. Cannings Richard J. Samworth
+ PDF Chat	Local nearest neighbour classification with applications to semi-supervised learning	2020	Timothy I. Cannings Thomas B. Berrett Richard J. Samworth
+ PDF Chat	Robust inference with knockoffs	2020	Rina Foygel Barber Emmanuel J. Candès Richard J. Samworth
+ PDF Chat	Goodness-of-fit Testing in High Dimensional Generalized Linear Models	2020	Jana Janková Rajen D. Shah Peter Bühlmann Richard J. Samworth
+	Author response: Screening of healthcare workers for SARS-CoV-2 highlights the role of asymptomatic carriage in COVID-19 transmission	2020	Lucy Rivett Sushmita Sridhar Dominic Sparkes Matthew Routledge Nick K Jones Stephen R. Forrest Jamie Young Joana Pereira-Dias William L. Hamilton Mark Ferris
+	Local continuity of log-concave projection, with applications to estimation under model misspecification	2020	Rina Foygel Barber Richard J. Samworth
+ PDF Chat	Classification with imperfect training labels	2020	Timothy I. Cannings Yingying Fan Richard J. Samworth
+ PDF Chat	Sparse Principal Component Analysis via Axis-Aligned Random Projections	2020	Milana Gatarić Tengyao Wang Richard J. Samworth
+	Optimal rates for independence testing via $U$-statistic permutation tests.	2020	Thomas B. Berrett Ioannis Kontoyiannis Richard J. Samworth
+	High-dimensional, multiscale online changepoint detection	2020	Yudong Chen Tengyao Wang Richard J. Samworth
+	Isotonic regression with unknown permutations: Statistics, computation, and adaptation	2020	Ashwin Pananjady Richard J. Samworth
+	Local continuity of log-concave projection, with applications to estimation under model misspecification	2020	Rina Foygel Barber Richard J. Samworth
+	Optimal rates for independence testing via $U$-statistic permutation tests	2020	Thomas B. Berrett Ioannis Kontoyiannis Richard J. Samworth
+ PDF Chat	The Conditional Permutation Test for Independence While Controlling for Confounders	2019	Thomas B. Berrett Yi Wang Rina Foygel Barber Richard J. Samworth
+	The conditional permutation test for independence while controlling for confounders	2019	Thomas B. Berrett Yi Wang Rina Foygel Barber Richard J. Samworth
+	Goodness-of-fit testing in high-dimensional generalized linear models	2019	Jana Janková Rajen D. Shah Peter Bühlmann Richard J. Samworth
+ PDF Chat	Isotonic regression in general dimensions	2019	Qiyang Han Tengyao Wang Sabyasachi Chatterjee Richard J. Samworth
+	Efficient two-sample functional estimation and the super-oracle phenomenon	2019	Thomas B. Berrett Richard J. Samworth
+ PDF Chat	Nonparametric independence testing via mutual information	2019	Thomas B. Berrett Richard J. Samworth
+ PDF Chat	Confidence intervals for high-dimensional Cox models	2019	Yi Yu Jelena Bradić Richard J. Samworth
+	High-dimensional nonparametric density estimation via symmetry and shape constraints	2019	Min Xu Richard J. Samworth
+	High-dimensional principal component analysis with heterogeneous missingness	2019	Ziwei Zhu Tengyao Wang Richard J. Samworth
+	Minimax rates in sparse, high-dimensional changepoint detection	2019	Haoyang Liu Chao Gao Richard J. Samworth
+	Goodness-of-fit testing in high-dimensional generalized linear models	2019	Jana Janková Rajen D. Shah Peter Bühlmann Richard J. Samworth
+	Efficient functional estimation and the super-oracle phenomenon	2019	Thomas B. Berrett Richard J. Samworth
+	Adaptation in multivariate log-concave density estimation	2018	Oliver Y. Feng Adityanand Guntuboyina Arlene K. H. Kim Richard J. Samworth
+	Efficient multivariate entropy estimation via $k$-nearest neighbour distances	2018	Thomas B. Berrett Richard J. Samworth Ming Yuan
+	A Conversation with Jon Wellner	2018	Moulinath Banerjee Richard J. Samworth
+ PDF Chat	Editorial: Special Issue on “Nonparametric Inference Under Shape Constraints”	2018	Richard J. Samworth Bodhisattva Sen
+ PDF Chat	Recent Progress in Log-Concave Density Estimation	2018	Richard J. Samworth
+	IndepTest: Nonparametric Independence Tests Based on Entropy Estimation	2018	Richard J. Samworth Thomas B. Berrett Daniel Grose
+ PDF Chat	Adaptation in log-concave density estimation	2018	Arlene K. H. Kim Adityanand Guntuboyina Richard J. Samworth
+	A Conversation with Jon Wellner	2018	Moulinath Banerjee Richard J. Samworth
+	The conditional permutation test	2018	Thomas B. Berrett Yi Wang Rina Foygel Barber Richard J. Samworth
+	The conditional permutation test for independence while controlling for confounders	2018	Thomas B. Berrett Yi Wang Rina Foygel Barber Richard J. Samworth
+	Classification with imperfect training labels.	2018	Timothy I. Cannings Yingying Fan Richard J. Samworth
+	Robust inference with knockoffs	2018	Rina Foygel Barber Emmanuel J. Candès Richard J. Samworth
+	Confidence intervals for high-dimensional Cox models	2018	Yi Yu Jelena Bradić Richard J. Samworth
+	High dimensional change point estimation via sparse projection Series B Statistical methodology	2018	Tengyao Wang Richard J. Samworth
+	Adaptation in multivariate log-concave density estimation	2018	Oliver Y. Feng Adityanand Guntuboyina Arlene K. H. Kim Richard J. Samworth
+	A Conversation with Jon Wellner	2018	Moulinath Banerjee Richard J. Samworth
+	The conditional permutation test for independence while controlling for confounders	2018	Thomas B. Berrett Yi Wang Rina Foygel Barber Richard J. Samworth
+	Classification with imperfect training labels	2018	Timothy I. Cannings Yingying Fan Richard J. Samworth
+	Robust inference with knockoffs	2018	Rina Foygel Barber Emmanuel J. Candès Richard J. Samworth
+	Sparse principal component analysis via random projections	2017	Milana Gatarić Tengyao Wang Richard J. Samworth
+	Sparse principal component analysis via axis-aligned random projections	2017	Milana Gatarić Tengyao Wang Richard J. Samworth
+	Nonparametric independence testing via mutual information	2017	Thomas B. Berrett Richard J. Samworth
+ PDF Chat	Comments on: High-dimensional simultaneous inference with the bootstrap	2017	Richard Lockhart Richard J. Samworth
+	Recent progress in log-concave density estimation	2017	Richard J. Samworth
+ PDF Chat	High Dimensional Change Point Estimation via Sparse Projection	2017	Tengyao Wang Richard J. Samworth
+ PDF Chat	Random-projection Ensemble Classification	2017	Timothy I. Cannings Richard J. Samworth
+	Local nearest neighbour classification with applications to semi-supervised learning	2017	Timothy I. Cannings Thomas B. Berrett Richard J. Samworth
+	Comments on `High-dimensional simultaneous inference with the bootstrap'	2017	Richard Lockhart Richard J. Samworth
+	Isotonic regression in general dimensions	2017	Qiyang Han Tengyao Wang Sabyasachi Chatterjee Richard J. Samworth
+	Random‐projection ensemble classification Series B Statistical methodology	2017	Timothy I. Cannings Richard J. Samworth
+	Recent progress in log-concave density estimation	2017	Richard J. Samworth
+	Nonparametric independence testing via mutual information	2017	Thomas B. Berrett Richard J. Samworth
+	Local nearest neighbour classification with applications to semi-supervised learning	2017	Timothy I. Cannings Thomas B. Berrett Richard J. Samworth
+	Sparse principal component analysis via axis-aligned random projections	2017	Milana Gatarić Tengyao Wang Richard J. Samworth
+	Comments on `High-dimensional simultaneous inference with the bootstrap'	2017	Richard Lockhart Richard J. Samworth
+	Global rates of convergence in log-concave density estimation	2016	Arlene K. H. Kim Richard J. Samworth
+	Statistical and computational trade-offs in estimation of sparse principal components	2016	Tengyao Wang Quentin Berthet Richard J. Samworth
+	Peter Hall's work on high-dimensional data and classification	2016	Richard J. Samworth
+	Efficient multivariate entropy estimation via $k$-nearest neighbour distances	2016	Thomas B. Berrett Richard J. Samworth Ming Yuan
+	High-dimensional changepoint estimation via sparse projection	2016	Tengyao Wang Richard J. Samworth
+	Peter Hall's work on high-dimensional data and classification	2016	Richard J. Samworth
+	Adaptation in log-concave density estimation	2016	Arlene K. H. Kim Adityanand Guntuboyina Richard J. Samworth
+ PDF Chat	Generalized Additive and Index Models with Shape Constraints	2015	Yining Chen Richard J. Samworth
+ PDF Chat	Comment	2015	Rajen D. Shah Richard J. Samworth
+ PDF Chat	A useful variant of the Davis–Kahan theorem for statisticians	2015	Yi Yu Tengyao Wang Richard J. Samworth
+	Random-projection ensemble classification	2015	Timothy I. Cannings Richard J. Samworth
+	Random-projection ensemble classification	2015	Timothy I. Cannings Richard J. Samworth
+	Global rates of convergence in log-concave density estimation	2014	Arlene K. H. Kim Richard J. Samworth
+	Generalised additive and index models with shape constraints	2014	Yining Chen Richard J. Samworth
+	A useful variant of the Davis--Kahan theorem for statisticians	2014	Yi Yu Tengyao Wang Richard J. Samworth
+	Global rates of convergence in log-concave density estimation	2014	Arlene K. H. Kim Richard J. Samworth
+ PDF Chat	Discussion of ‘Correlated variables in regression: Clustering and sparse estimation’ by Peter Bühlmann, Philipp Rütimann, Sara van de Geer and Cun-Hui Zhang	2013	Rajen D. Shah Richard J. Samworth
+ PDF Chat	Stochastic search for semiparametric linear regression models	2013	Lutz Dümbgen Richard J. Samworth Dominic Schuhmacher
+	Independent component analysis via nonparametric maximum likelihood estimation	2012	Richard J. Samworth Ming Yuan
+ PDF Chat	Smoothed log-concave maximum likelihood estimation with applications	2012	Yining Chen Richard J. Samworth
+	Optimal weighted nearest neighbour classifiers	2012	Richard J. Samworth
+ PDF Chat	Variable Selection with Error Control: Another Look at Stability Selection	2012	Rajen D. Shah Richard J. Samworth
+	Independent component analysis via nonparametric maximum likelihood estimation	2012	Richard J. Samworth Ming Yuan
+	Comment	2011	Richard J. Samworth
+ PDF Chat	Approximation by log-concave distributions, with applications to regression	2011	Lutz Dümbgen Richard J. Samworth Dominic Schuhmacher
+ PDF Chat	Maximum Likelihood Estimation of a Multi-Dimensional Log-Concave Density	2010	Madeleine Cule Richard J. Samworth Michael Stewart
+ PDF Chat	Asymptotics and optimal bandwidth selection for highest density region estimation	2010	Richard J. Samworth M. P. Wand
+ PDF Chat	Theoretical properties of the log-concave maximum likelihood estimator of a multidimensional density	2010	Madeleine Cule Richard J. Samworth
+	SIS: Sure Independence Screening	2009	Yang Feng Jianqing Fan Diego Franco Saldana Yichao Wu Richard J. Samworth
+	<b>LogConcDEAD</b>: An<i>R</i>Package for Maximum Likelihood Estimation of a Multivariate Log-Concave Density	2009	Madeleine Cule Robert B. Gramacy Richard J. Samworth
+	Ultrahigh dimensional feature selection: beyond the linear model.	2009	Jianqing Fan Richard J. Samworth Yichao Wu
+	Theoretical properties of the log-concave maximum likelihood estimator of a multidimensional density	2009	Madeleine Cule Richard J. Samworth
+	Importance tempering	2008	Robert B. Gramacy Richard J. Samworth Ruth King
+	LogConcDEAD: An R Package for Maximum Likelihood Estimation of a Multivariate Log-Concave Density	2008	Madeleine Cule Robert B. Gramacy Richard J. Samworth
+ PDF Chat	Choice of neighbor order in nearest-neighbor classification	2008	Peter Hall Byeong U. Park Richard J. Samworth
+	Maximum likelihood estimation of a multidimensional log-concave density	2008	Madeleine Cule Richard J. Samworth Michael Stewart
+	Importance Tempering	2007	Robert B. Gramacy Richard J. Samworth Ruth King
+	Importance Tempering	2007	Robert B. Gramacy Richard J. Samworth Ruth King
+ PDF Chat	Central limit theorem and convergence to stable laws in Mallows distance	2005	Oliver Johnson Richard J. Samworth
+	Small Confidence Sets for the Mean of a Spherically Symmetric Distribution	2005	Richard J. Samworth
+ PDF Chat	Properties of Bagged Nearest Neighbour Classifiers	2005	Peter Hall Richard J. Samworth
+	Statistical Theory (M24)	2005	Richard J. Samworth
+	The empirical process in Mallows distance, with application to goodness-of-fit tests	2005	Richard J. Samworth Oliver Johnson
+	Convergence of the empirical process in Mallows distance, with an application to bootstrap performance	2004	Richard J. Samworth Oliver Johnson
+	Central Limit Theorem and convergence to stable laws in Mallows distance	2004	Oliver Johnson Richard J. Samworth
+	A note on methods of restoring consistency to the bootstrap	2003	Richard J. Samworth

Common Coauthors

Coauthor	Papers Together
Thomas B. Berrett	24
Tengyao Wang	23
Timothy I. Cannings	17
Rina Foygel Barber	12
Oliver Y. Feng	11
Arlene K. H. Kim	8
Rajen D. Shah	8
Henry W. J. Reeve	7
Milana Gatarić	6
Madeleine Cule	6
Qiyang Han	5
Yining Chen	5
Adityanand Guntuboyina	5
Robert B. Gramacy	5
Min Xu	4
Yi Yu	4
Lutz Dümbgen	4
Oliver Johnson	4
Ming Yuan	4
Yudong Chen	4
Cynthia Rush	3
Jana Janková	3
Raymond J. Carroll	3
Richard Lockhart	3
Ioannis Kontoyiannis	3
Yingying Fan	3
Moulinath Banerjee	3
Ruth King	3
Ramji Venkataramanan	3
Emmanuel J. Candès	3
Peter Bühlmann	3
Tianyi Ma	2
Yichao Wu	2
Giles Wright	2
Stephen R. Forrest	2
Michelle Wantoch	2
Natalie Quinnell	2
Sushmita Sridhar	2
Yu-Chun Kao	2
Rahul Mazumder	2
Bertille Follain	2
Theresa Feltwell	2
Jelena Bradić	2
William L. Hamilton	2
Anton Rask Lundborg	2
Claire Cormie	2
Dominic Schuhmacher	2
Edgar Dobriban	2
Martin D. Curran	2
Stewart Fuller	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Maximum Likelihood Estimation of a Multi-Dimensional Log-Concave Density	2010	Madeleine Cule Richard J. Samworth Michael Stewart	24
+ PDF Chat	Approximation by log-concave distributions, with applications to regression	2011	Lutz Dümbgen Richard J. Samworth Dominic Schuhmacher	23
+ PDF Chat	Theoretical properties of the log-concave maximum likelihood estimator of a multidimensional density	2010	Madeleine Cule Richard J. Samworth	17
+ PDF Chat	Maximum likelihood estimation of a log-concave density and its distribution function: Basic properties and uniform consistency	2009	Lutz Dümbgen Kaspar Rufibach	16
+ PDF Chat	Detecting the Presence of Mixing with Multiscale Maximum Likelihood	2002	Guenther Walther	14
+	Weak Convergence and Empirical Processes	1996	Aad van der Vaart Jon A. Wellner	14
+	Global rates of convergence in log-concave density estimation	2016	Arlene K. H. Kim Richard J. Samworth	13
+	Independent component analysis via nonparametric maximum likelihood estimation	2012	Richard J. Samworth Ming Yuan	13
+ PDF Chat	Nonparametric estimation of multivariate convex-transformed densities	2010	Arseni Seregin Jon A. Wellner	13
+ PDF Chat	Estimating a Polya frequency function$_2$	2007	Jayanta Kumar Pal Michael Woodroofe Mary C. Meyer	12
+ PDF Chat	Risk bounds in isotonic regression	2002	Cun-Hui Zhang	12
+ PDF Chat	Estimation of a Convex Function: Characterizations and Asymptotic Theory	2001	Piet Groeneboom Geurt Jongbloed Jon A. Wellner	12
+	Empirical Processes with Applications to Statistics	2009	Galen R. Shorack Jon A. Wellner	11
+ PDF Chat	Recent Progress in Log-Concave Density Estimation	2018	Richard J. Samworth	11
+	Global rates of convergence of the MLEs of log-concave and $s$-concave densities	2016	Charles R. Doss Jon A. Wellner	11
+ PDF Chat	Limit distribution theory for maximum likelihood estimation of a log-concave density	2009	Fadoua Balabdaoui Kaspar Rufibach Jon A. Wellner	11
+	Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties	1989	Evelyn Fix J. L. Hodges	11
+	A Probabilistic Theory of Pattern Recognition	1996	Luc Devroye László Györfi Gábor Lugosi	11
+	Nonparametric Estimation under Shape Constraints	2014	Piet Groeneboom Geurt Jongbloed	11
+ PDF Chat	Smoothed log-concave maximum likelihood estimation with applications	2012	Yining Chen Richard J. Samworth	11
+	<b>logcondens</b>: Computations Related to Univariate Log-Concave Density Estimation	2011	Lutz Dümbgen Kaspar Rufibach	11
+	Quasi-concave density estimation	2010	Roger Koenker Ivan Mizera	10
+ PDF Chat	Sharp oracle inequalities for Least Squares estimators in shape restricted regression	2018	Pierre Bellec	10
+ PDF Chat	Generalized Additive and Index Models with Shape Constraints	2015	Yining Chen Richard J. Samworth	10
+ PDF Chat	Isotonic regression in general dimensions	2019	Qiyang Han Tengyao Wang Sabyasachi Chatterjee Richard J. Samworth	10
+ PDF Chat	Global risk bounds and adaptation in univariate convex regression	2014	Adityanand Guntuboyina Bodhisattva Sen	9
+ PDF Chat	Inference and Modeling with Log-concave Distributions	2009	Guenther Walther	9
+	Change-point detection in panel data via double CUSUM statistic	2016	Haeran Cho	9
+ PDF Chat	A useful variant of the Davis–Kahan theorem for statisticians	2015	Yi Yu Tengyao Wang Richard J. Samworth	9
+ PDF Chat	Nonparametric least squares estimation of a multivariate convex regression function	2011	Emilio Seijo Bodhisattva Sen	9
+ PDF Chat	High Dimensional Change Point Estimation via Sparse Projection	2017	Tengyao Wang Richard J. Samworth	8
+	Active Set and EM Algorithms for Log-Concave Densities Based on Complete and Censored Data	2007	Lutz Duembgen Andre Huesler Kaspar Rufibach	8
+ PDF Chat	Nonparametric independence testing via mutual information	2019	Thomas B. Berrett Richard J. Samworth	8
+	On risk bounds in isotonic and other shape restricted regression problems	2015	Sabyasachi Chatterjee Adityanand Guntuboyina Bodhisattva Sen	7
+	Contraction and uniform convergence of isotonic regression	2019	Fan Yang Rina Foygel Barber	7
+ PDF Chat	Multivariate log-concave distributions as a nearly parametric model	2011	Dominic Schuhmacher André Hüsler Lutz Dümbgen	7
+	Extensions of some classical methods in change point analysis	2014	Lajos Horváth Gregory Rice	7
+	Confidence intervals and hypothesis testing for high-dimensional regression	2014	Adel Javanmard Andrea Montanari	7
+	Limit theorems in change-point analysis	1997	Miklós Csörgő Lajos Horváth	7
+	Ultrahigh dimensional feature selection: beyond the linear model.	2009	Jianqing Fan Richard J. Samworth Yichao Wu	7
+	<b>LogConcDEAD</b>: An<i>R</i>Package for Maximum Likelihood Estimation of a Multivariate Log-Concave Density	2009	Madeleine Cule Robert B. Gramacy Richard J. Samworth	7
+	Approximation and estimation of s-concave densities via Rényi divergences	2016	Qiyang Han Jon A. Wellner	7
+	Nearest neighbor pattern classification	1967	Thomas M. Cover Peter E. Hart	7
+ PDF Chat	Adaptation in log-concave density estimation	2018	Arlene K. H. Kim Adityanand Guntuboyina Richard J. Samworth	7
+ PDF Chat	High-dimensional change-point detection under sparse alternatives	2019	Farida Enikeeva Zaïd Harchaoui	7
+ PDF Chat	Some Asymptotic Theory for the Bootstrap	1981	Peter J. Bickel David A. Freedman	6
+ PDF Chat	Multiscale Change Point Inference	2014	Klaus Frick Axel Munk Hannes Sieling	6
+ PDF Chat	Consistent Nonparametric Regression	1977	Charles J. Stone	6
+ PDF Chat	Stability Selection	2010	Nicolai Meinshausen Peter Bühlmann	6
+ PDF Chat	The Grenader Estimator: A Nonasymptotic Approach	1989	Lucien Birgé	6