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Statistical Theory: A Concise Introduction

Second edition, 2022

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ON ASYMPTOTICALLY OPTIMAL CONFIDENCE REGIONS AND TESTS FOR HIGH-DIMENSIONAL MODELS

The Annals of statistics, 2014-06, Vol.42 (3), p.1166-1202

2014

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Inference and Estimation for Random Effects in High-Dimensional Linear Mixed Models

Journal of the American Statistical Association, 2023-07, Vol.118 (543), p.1682-1691

2023

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Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models

Test (Madrid, Spain), 2023-12, Vol.32 (4), p.1180-1183

Ritov, Ya’acov

2023

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The scientific method and p‐values: response to Mayo (2022)

Conservation biology, 2022-10, Vol.36 (5), p.e13984-n/a

2022

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Simultaneous Analysis of Lasso and Dantzig Selector

The Annals of statistics, 2009-08, Vol.37 (4), p.1705-1732

2009

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Inference without compatibility: Using exponential weighting for inference on a parameter of a linear model

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2021-08, Vol.27 (3)

2021

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Optimal linear discriminators for the discrete choice model in growing dimensions

The Annals of statistics, 2021-12, Vol.49 (6), p.3324

2021

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Statistical Theory: A Concise Introduction Second Edition

2, 2023

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Comment: Empirical Bayes, Compound Decisions and Exchangeability

Statistical science, 2019-05, Vol.34 (2), p.224

2019

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Design of c-optimal experiments for high-dimensional linear models

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2023-02, Vol.29 (1)

2023

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Scalable Monte Carlo inference and rescaled local asymptotic normality

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2021-11, Vol.27 (4)

2021

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Nonparametric empirical Bayes improvement of shrinkage estimators with applications to time series

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2019-11, Vol.25 (4B)

2019

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Generalized maximum likelihood estimation of the mean of parameters of mixtures. With applications to sampling and to observational studies

Electronic journal of statistics, 2022-01, Vol.16 (2)

2022

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Local Shuffling of Spike Trains Boosts the Accuracy of Spike Train Spectral Analysis

Journal of neurophysiology, 2006-05, Vol.95 (5), p.3245-3256

2006

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Asymptotic normality of a change plane estimator in fixed dimension with near-optimal rate

Electronic journal of statistics, 2023-01, Vol.17 (2)

2023

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TOWARD A CURSE OF DIMENSIONALITY APPROPRIATE (CODA) ASYMPTOTIC THEORY FOR SEMI-PARAMETRIC MODELS

Statistics in medicine, 1997-02, Vol.16 (3), p.285-319

1997

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Balance of Increases and Decreases in Firing Rate of the Spontaneous Activity of Basal Ganglia High-Frequency Discharge Neurons

Journal of neurophysiology, 2008-12, Vol.100 (6), p.3086-3104

2008

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Fear and C-reactive protein cosynergize annual pulse increases in healthy adults

Proceedings of the National Academy of Sciences - PNAS, 2015-02, Vol.112 (5), p.E467-E471

2015

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Discussion of ‘Gene hunting with hidden Markov model knockoffs’

Biometrika, 2019-03, Vol.106 (1), p.29-33

2019

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On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions

Electronic journal of statistics, 2022-01, Vol.16 (1)

2022

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Acetylcholinesterase/Paraoxonase Genotype and Expression Predict Anxiety Scores in Health, Risk Factors, Exercise Training, and Genetics Study

Proceedings of the National Academy of Sciences - PNAS, 2004-04, Vol.101 (15), p.5512-5517

2004

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Robust estimation of mixing measures in finite mixture models

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2020-05, Vol.26 (2)

2020

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Functional Correlations between Neighboring Neurons in the Primate Globus Pallidus Are Weak or Nonexistent

The Journal of neuroscience, 2003-05, Vol.23 (10), p.4012-4016

2003

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Self‐reporting and screening: Data with right‐censored, left‐censored, and complete observations

Statistics in medicine, 2022-08, Vol.41 (18), p.3561-3578

2022

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Statistical Theory: A Concise Introduction

ON ASYMPTOTICALLY OPTIMAL CONFIDENCE REGIONS AND TESTS FOR HIGH-DIMENSIONAL MODELS

Inference and Estimation for Random Effects in High-Dimensional Linear Mixed Models

Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models

The scientific method and p‐values: response to Mayo (2022)

Simultaneous Analysis of Lasso and Dantzig Selector

Inference without compatibility: Using exponential weighting for inference on a parameter of a linear model

Optimal linear discriminators for the discrete choice model in growing dimensions

Statistical Theory: A Concise Introduction Second Edition

Comment: Empirical Bayes, Compound Decisions and Exchangeability

Design of c-optimal experiments for high-dimensional linear models

Scalable Monte Carlo inference and rescaled local asymptotic normality

Nonparametric empirical Bayes improvement of shrinkage estimators with applications to time series

Generalized maximum likelihood estimation of the mean of parameters of mixtures. With applications to sampling and to observational studies

Local Shuffling of Spike Trains Boosts the Accuracy of Spike Train Spectral Analysis

Asymptotic normality of a change plane estimator in fixed dimension with near-optimal rate

TOWARD A CURSE OF DIMENSIONALITY APPROPRIATE (CODA) ASYMPTOTIC THEORY FOR SEMI-PARAMETRIC MODELS

Balance of Increases and Decreases in Firing Rate of the Spontaneous Activity of Basal Ganglia High-Frequency Discharge Neurons

Fear and C-reactive protein cosynergize annual pulse increases in healthy adults

Discussion of ‘Gene hunting with hidden Markov model knockoffs’

On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions

Acetylcholinesterase/Paraoxonase Genotype and Expression Predict Anxiety Scores in Health, Risk Factors, Exercise Training, and Genetics Study

Robust estimation of mixing measures in finite mixture models

Functional Correlations between Neighboring Neurons in the Primate Globus Pallidus Are Weak or Nonexistent

Self‐reporting and screening: Data with right‐censored, left‐censored, and complete observations

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