Peter J. Bickel

Q: What Schools Are Affiliated With Peter J. Bickel

Peter J. Bickel is affiliated with the following schools: University of California, Berkeley, California Institute of Technology

Peter J. Bickel's AcademicInfluence.com Rankings

Peter J. Bickel

Mathematics

#2190

World Rank

#3419

Historical Rank

#873

USA Rank

Statistics

#92

World Rank

#123

Historical Rank

#42

USA Rank

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Mathematics

Peter J. Bickel's Degrees

PhD Statistics University of California, Berkeley
Masters Mathematics University of California, Berkeley
Bachelors Mathematics University of California, Berkeley

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Why Is Peter J. Bickel Influential?

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According to Wikipedia, Peter John Bickel is an American statistician and Professor of Statistics at the University of California, Berkeley. Education and career Bickel studied physics at the California Institute of Technology. He graduated from University of California, Berkeley, with a Ph.D., in 1963, where he studied under Erich Leo Lehmann.

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Peter J. Bickel's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR (2008) (2405)
An integrated encyclopedia of DNA elements in the human genome (2012) (2080)
Efficient and Adaptive Estimation for Semiparametric Models (1993) (1721)
ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia (2012) (1701)
Some Asymptotic Theory for the Bootstrap (1981) (1646)
Mathematical Statistics: Basic Ideas and Selected Topics (1977) (1537)
A User's Guide to the Encyclopedia of DNA Elements (ENCODE) (2011) (1467)
Efficient and Adaptive Estimation for Semiparametric Models. (1994) (1366)
Regularized estimation of large covariance matrices (2008) (1276)
Covariance regularization by thresholding (2009) (1166)
Sparse permutation invariant covariance estimation (2008) (868)
Measuring reproducibility of high-throughput experiments (2011) (817)
Maximum Likelihood Estimation of Intrinsic Dimension (2004) (800)
A nonparametric view of network models and Newman–Girvan and other modularities (2009) (788)
The Developmental Transcriptome of Drosophila melanogaster (2010) (766)
Obstacles to High-Dimensional Particle Filtering (2008) (610)
Some theory for Fisher''s linear discriminant function (2004) (600)
Sex Bias in Graduate Admissions: Data from Berkeley (1975) (583)
The Earth Mover's distance is the Mallows distance: some insights from statistics (2001) (560)
Diversity and dynamics of the Drosophila transcriptome (2014) (558)
An Analysis of Transformations Revisited (1981) (545)
Robust Estimates of Location: Survey and Advances. (1975) (521)
Convergence Criteria for Multiparameter Stochastic Processes and Some Applications (1971) (508)
Metalearners for estimating heterogeneous treatment effects using machine learning (2017) (458)
On Some Global Measures of the Deviations of Density Function Estimates (1973) (407)
Robust Estimates of Location (1972) (398)
Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems (2008) (391)
Long noncoding RNAs are rarely translated in two human cell lines (2012) (371)
Pseudo-likelihood methods for community detection in large sparse networks (2012) (355)
Developmental roles of 21 Drosophila transcription factors are determined by quantitative differences in binding to an overlapping set of thousands of genomic regions (2009) (355)
One-Step Huber Estimates in the Linear Model (1975) (346)
On Adaptive Estimation (1982) (337)
INFERENCE FOR SEMIPARAMETRIC MODELS: SOME QUESTIONS AND AN ANSWER (2001) (324)
Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models (1998) (321)
Day-to-Day Travel-Time Trends and Travel-Time Prediction from Loop-Detector Data (2000) (305)
S: An Interactive Environment for Data Analysis and Graphics (1984) (301)
RESAMPLING FEWER THAN n OBSERVATIONS: GAINS, LOSSES, AND REMEDIES FOR LOSSES (2012) (298)
Sure independence screening for ultrahigh dimensional feature space Discussion (2008) (297)
System wide analyses have underestimated protein abundances and the importance of transcription in mammals (2012) (269)
Comparative Analysis of the Transcriptome across Distant Species (2014) (268)
DESCRIPTIVE STATISTICS FOR NONPARAMETRIC MODELS IV. SPREAD (1979) (250)
Classification of human genomic regions based on experimentally determined binding sites of more than 100 transcription-related factors (2012) (249)
Genome-wide analysis of promoter architecture in Drosophila melanogaster. (2011) (228)
Descriptive Statistics for Nonparametric Models. III. Dispersion (1976) (222)
Analyses of deep mammalian sequence alignments and constraint predictions for 1% of the human genome. (2007) (221)
Asymptotic Normality and the Bootstrap in Stratified Sampling (1984) (216)
The method of moments and degree distributions for network models (2011) (215)
Regularization in statistics (2006) (201)
Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels (2012) (192)
Sharp failure rates for the bootstrap particle filter in high dimensions (2008) (187)
Large Vector Auto Regressions (2011) (180)
Accurate estimation of travel times from single-loop detectors 1 1 Funding for this research was pro (1998) (178)
Comparative analysis of regulatory information and circuits across distant species (2014) (177)
Sums of Functions of Nearest Neighbor Distances, Moment Bounds, Limit Theorems and a Goodness of Fit Test (1983) (172)
On Some Robust Estimates of Location (1965) (166)
Minimax Estimation of the Mean of a Normal Distribution when the Parameter Space is Restricted (1981) (162)
A Decomposition for the Likelihood Ratio Statistic and the Bartlett Correction--A Bayesian Argument (1990) (156)
Systematic evaluation of factors influencing ChIP-seq fidelity (2012) (153)
Descriptive Statistics for Nonparametric Models II. Location (1975) (153)
Hypothesis testing for automated community detection in networks (2013) (153)
Likelihood-based model selection for stochastic block models (2015) (152)
Asymptotic Expansions for the Power of Distributionfree Tests in the Two-Sample Problem (1976) (151)
On robust regression with high-dimensional predictors (2013) (150)
A Distribution Free Version of the Smirnov Two Sample Test in the $p$-Variate Case (1969) (149)
Using Residuals Robustly I: Tests for Heteroscedasticity, Nonlinearity (1975) (149)
ON THE CHOICE OF m IN THE m OUT OF n BOOTSTRAP AND CONFIDENCE BOUNDS FOR EXTREMA (2008) (148)
DNA regions bound at low occupancy by transcription factors do not drive patterned reporter gene expression in Drosophila (2012) (144)
Sparse linear modeling of next-generation mRNA sequencing (RNA-Seq) data for isoform discovery and abundance estimation (2011) (140)
Comparative validation of the D. melanogaster modENCODE transcriptome annotation (2014) (134)
Tests for Monotone Failure Rate Based on Normalized Spacings (1969) (133)
Local polynomial regression on unknown manifolds (2007) (130)
The Edgeworth Expansion for $U$-Statistics of Degree Two (1986) (124)
Goodness-of-fit tests for kernel regression with an application to option implied volatilities (2001) (119)
Edgeworth Expansions in Nonparametric Statistics (1974) (113)
Some contributions to the theory of order statistics (1967) (112)
Optimal M-estimation in high-dimensional regression (2013) (109)
Achieving Information Bounds in Non and Semiparametric Models (1990) (109)
The semiparametric Bernstein-von Mises theorem (2010) (107)
Some contributions to the asymptotic theory of Bayes solutions (1969) (103)
Inference in hidden Markov models I: Local asymptotic normality in the stationary case (1996) (101)
Asymptotically Optimal Bayes and Minimax Procedures in Sequential Estimation (1968) (99)
Descriptive Statistics for Nonparametric Models I. Introduction (1975) (96)
Efficient Estimation in the Errors in Variables Model (1987) (94)
Comparison of D. melanogaster and C. elegans developmental stages, tissues, and cells by modENCODE RNA-seq data (2014) (91)
Role of normalization in spectral clustering for stochastic blockmodels (2013) (90)
Efficient independent component analysis (2006) (89)
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning (2017) (84)
On Some Analogues to Linear Combinations of Order Statistics in the Linear Model (1973) (81)
Nonparametric estimators which can be "plugged-in" (2003) (81)
Asymptotic distribution of the likelihood ratio statistic in a prototypical non regular problem (1993) (80)
On Some Asymptotically Nonparametric Competitors of Hotelling's $T^{2 1}$ (1965) (78)
Asymptotically pointwise optimal procedures in sequential analysis (1967) (74)
Statistical Methods for Jointly Estimating the Decay Constant of 40K and the Age of a Dating Standard (2002) (74)
A new mixing notion and functional central limit theorems for a sieve bootstrap in time series (1999) (73)
Some Theory for Generalized Boosting Algorithms (2006) (72)
Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition (2015) (70)
A Moment Matching Ensemble Filter for Nonlinear Non-Gaussian Data Assimilation (2011) (70)
Regression on manifolds: Estimation of the exterior derivative (2011) (70)
Subsampling methods for genomic inference (2010) (70)
Tailor-made tests for goodness of fit to semiparametric hypotheses (2006) (69)
Robustness of Design Against Autocorrelation in Time I: Asymptotic Theory, Optimality for Location and Linear Regression (1979) (67)
Subsampling bootstrap of count features of networks (2013) (64)
Goodness-of-fit tests for regression using kernel methods (1994) (63)
Consistent independent component analysis and prewhitening (2005) (63)
On estimating the total probability of the unobserved outcomes of an experiment (1986) (62)
Comparison of Ensemble Kalman Filters under Non-Gaussianity (2010) (62)
Measuring Traffic (2008) (60)
MINIMAX ESTIMATION OF THE MEAN OF A NORMAL DISTRIBUTION SUBJECT TO DOING WELL AT A POINT (1983) (59)
Texture synthesis and nonparametric resampling of random fields (2006) (58)
SOME PROBLEMS ON THE ESTIMATION OF UNIMODAL DENSITIES (1996) (56)
An Edgeworth expansion for the m out of n bootstrapped median (2000) (55)
Genome-guided transcript assembly from integrative analysis of RNA sequence data (2014) (54)
On Some Alternative Estimates for Shift in the $P$-Variate One Sample Problem (1964) (54)
SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG (2007) (53)
Parametric Robustness: Small Biases can be Worthwhile (1984) (51)
Richardson Extrapolation and the Bootstrap (1988) (51)
Robust Regression Based on Infinitesimal Neighbourhoods (1984) (51)
Covariability of V3 loop amino acids. (1996) (48)
Tests for Monotone Failure Rate II (1969) (48)
BOOTSTRAPPING REGRESSION MODELS WITH MANY PARAMETERS (2008) (47)
Confidence Bands for a Distribution Function Using the Bootstrap (1989) (47)
Banded regularization of autocovariance matrices in application to parameter estimation and forecasting of time series (2011) (46)
Quantitative exploration of the occurrence of lateral gene transfer by using nitrogen fixation genes as a case study. (2006) (44)
Efficient estimation of linear functionals of a probability measure P with known marginal distributions (1991) (43)
Curse-of-dimensionality revisited : Collapse of importance sampling in very large scale systems (2005) (42)
Mathematical Statistics: Basic Ideas and Selected Topics, Volume II (2015) (42)
Mathematical Statistics : Basic Ideas and Selected Topics, Volumes I-II Package (2015) (41)
Diversity and dynamics of the Drosophila (2014) (41)
Finding important sites in protein sequences (2002) (41)
On a semiparametric survival model with flexible covariate effect (1998) (40)
On Efficiency of First and Second Order (1981) (40)
Hierarchical Community Detection by Recursive Partitioning (2018) (40)
An overview of recent developments in genomics and associated statistical methods (2009) (39)
Hierarchical selection of variables in sparse high-dimensional regression (2008) (39)
Workshop on Statistical Approaches for the Evaluation of Complex Computer Models (2002) (38)
Inference and Auditing: The Stringer Bound (1992) (38)
Two-Dimensional Random Fields (1973) (38)
Variable selection in nonparametric regression with categorical covariates (1992) (36)
On the Choice of m in the m Out of n Bootstrap and its Application to Condence Bounds for Extreme Percentiles y (2005) (36)
Asymptotics for high dimensional regression M-estimates: fixed design results (2016) (34)
Inferring gene-gene interactions and functional modules using sparse canonical correlation analysis (2014) (34)
NONPARAMETRIC INFERENCE UNDER BIASED SAMPLING FROM A FINITE POPULATION (1992) (34)
A New Methodology for Evaluating Incident Detection Algorithms (2000) (33)
Community Detection in Networks using Graph Distance (2014) (33)
What is a linear process? (1996) (33)
Detecting DNA regulatory motifs by incorporating positional trends in information content (2004) (33)
Approximating the inverse of banded matrices by banded matrices with applications to probability and statistics (2010) (32)
The m out of n Bootstrap and Goodness of Fit Tests with Double Censored Data (1996) (32)
Robustness of Design against Autocorrelation in Time II: Optimally, Theoretical and Numerical Results for the First-Order Autoregressive Process (1981) (31)
Closure of Linear Processes (1997) (29)
Renewal Theory in the Plane (1965) (29)
Extensive cross-regulation of post-transcriptional regulatory networks in Drosophila (2015) (28)
Projection pursuit in high dimensions (2018) (28)
Fitting community models to large sparse networks (2012) (27)
Empirical Bayes estimation in functional and structural models, and uniformly adaptive estimation of location (1986) (25)
Event-Weighted Tests for Detecting Periodicity in Photon Arrival Times (2007) (25)
The Bayesian analysis of complex, high-dimensional models: Can it be CODA? (2012) (24)
Unbiased Estimation in Convex Families (1969) (23)
Latent Variable Modeling and Applications to Causality (2017) (23)
Large sample theory of estimation in biased sampling regression (1991) (23)
A NOTE ON BAYES ESTIMATES (1967) (22)
Efficient blind search: Optimal power of detection under computational cost constraints (2007) (22)
Local Asymptotic Normality of Ranks and Covariates in Transformation Models (1997) (22)
The Asymptotic Theory of Galton's Test and a Related Simple Estimate of Location (1967) (21)
The bootstrap in hypothesis testing (2001) (21)
Empirical Comparison of Travel Time Estimation Methods (1999) (20)
A Minimax Property of The Sample Mean in Finite Populations (1981) (18)
Note: Correction to "Asymptotic Expansions for the Power of Distributionfree Tests in the One-Sample Problem" (1978) (18)
Extrapolation and the bootstrap (2002) (18)
Exploiting regulatory heterogeneity to systematically identify enhancers with high accuracy (2018) (18)
Correlations with tailored extremal properties (2020) (18)
Estimating linear functionals of a PET image (1995) (18)
Singly and Doubly Censored Current Status Data: Estimation, Asymptotics and Regression (1997) (17)
COMPETITIVE AND SUSTAINABLE GROWTH (GROWTH) PROGRAMME (2002) (17)
ON SELECTING A SET OF GOOD POPULATIONS (1977) (17)
Discussion of "The evaluation of forensic DNA evidence". (1997) (16)
Navigating and mining modENCODE data. (2014) (16)
On an A.P.O. Rule in Sequential Estimation with Quadratic Loss (1969) (16)
Regularization in statistics: Discussion (2006) (15)
On Invariance and Almost Invariance (1968) (15)
Uniform Convergence of Probability Measures on Classes of Functions (2008) (15)
Sparsity and the Possibility of Inference (2008) (14)
An Approximate Likelihood Approach to Nonlinear Mixed Effects Models Via Spline Approximation (2003) (14)
Discussion: The Dantzig selector: Statistical estimation when p is much larger than n (2007) (14)
Traffic Flow on a Freeway Network (2003) (13)
Non- and semiparametric statistics: compared and contrasted (2000) (13)
MEASURING REPRODUCIBILITY OF HIGH-THROUGHPUT (2010) (12)
Nonparametric identification of regulatory interactions from spatial and temporal gene expression data (2010) (11)
Interpretable sensitivity analysis for balancing weights (2021) (11)
On a Theorem of Hoeffding (1979) (11)
SUBSTITUTION IN CONDITIONAL EXPECTATION (1968) (11)
Review: J. Pfanzagl, W. Wefelmeyer, Contributions to a General Asymptotic Statistical Theory. Springer Lecture Notes in Statistics (1984) (11)
Mixing Property and Functional Central Limit Theorems for a Sieve Bootstrap in Time Series (1995) (11)
A model for sequential evolution of ligands by exponential enrichment (SELEX) data (2012) (11)
DISCUSSION OF: BROWNIAN DISTANCE COVARIANCE (2009) (10)
Hidden Markov model likelihoods and their derivatives behave like i.i.d. ones (2002) (10)
The golden chain (2003) (10)
Asymptotic expansions for the power of distributionfree tests in the one-sample problem : (prepublication) (1974) (10)
THE LIMIT DISTRIBUTION OF A TEST STATISTIC FOR BIVARIATE NORMALITY (2000) (10)
A Festschrift for Erich L. Lehmann in honor of his sixty-fifth birthday (1983) (10)
Edgeworth Expansions and Smoothness (1982) (10)
Discussion: Consistent Nonparametric Regression (1977) (10)
Frontiers in statistics: Dedicated to Peter John Bickel in honor of his 65th birthday (2006) (10)
A Hàjek-Rényi extension of Lévy's inequality and some applications (1970) (9)
Statistics for sparse, high-dimensional, and nonparametric system identification (2009) (9)
Ensemble Filtering for High Dimensional Non-linear State Space Models (2009) (9)
Frequentist Interpretation of Probability (2012) (8)
Spectral Clustering and Block Models: A Review And A New Algorithm (2015) (8)
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels (2015) (8)
Semiparametric Estimation of Treatment Effects in Randomized Experiments (2021) (8)
On maximizing item information and matching difficulty with ability (2001) (7)
Discussions of boosting papers, and rejoinders (2004) (7)
ADAPTIVE ESTIMATION IN ELLIPTICAL DISTRIBUTIONS WITH EXTENSIONS TO HIGH DIMENSIONS (2013) (7)
Hyperaccuracy of Bootstrap Based Prediction (1990) (7)
Measures of independence and functional dependence (2022) (7)
Two provably consistent divide-and-conquer clustering algorithms for large networks (2017) (7)
What Academia Needs (1995) (6)
A Note on Unbiased Bayes Estimates (1988) (6)
On Estimating the Number of Unseen Species and System Reliability (1988) (6)
Penalized robust regression in high-dimension (2011) (6)
NETWORK MODELLING OF TOPOLOGICAL DOMAINS USING HI-C DATA. (2017) (6)
On the Wiener process approximation to Bayesian sequential testing problems (1972) (6)
Efficient Estimation Using Both Direct and Indirect Observations (1994) (6)
DE-FPCA: Testing Gene Differential Expression and Exon Usage Through Functional Principal Component Analysis (2014) (5)
System Wide Analyses have Underestimated Protein Abundances and Transcriptional Importance in Animals (2012) (5)
Sparse Canonical Correlation Analysis via Concave Minimization (2019) (5)
An assumption-free exact test for fixed-design linear models with exchangeable errors (2019) (5)
Correction to the proof of consistency of community detection (2015) (5)
Robustness of Prewhitening Against Heavy-Tailed Sources (2004) (5)
Non Parametric Methods for Genomic Inference (2007) (5)
GeneFishing to reconstruct context specific portraits of biological processes (2019) (5)
Estimating Motifs Under Order Restrictions (2005) (4)
A Moment Matching Particle Filter for Nonlinear Non-Gaussian Data Assimilation (2010) (4)
Equality of Types for the Distribution of the Maximum for Two Values of n Implies Extreme Value Type (2002) (4)
On Detecting Periodicity in Astronomical Point Processes (2007) (4)
Mathematical stastistics : basic ideas and selected topics / Peter J. Bickel, Kjell A. Doksum (2001) (4)
Better Boostrap Confidence Intervals: Comment (1987) (4)
The Analysis of Transformed Data: Comment (1984) (4)
An Optimality Property of Bayes’ Test Statistics (2009) (4)
The number of visits of vector walks to bounded regions (1965) (4)
Discussion: Theoretical Comparison of Bootstrap Confidence Intervals (1988) (4)
Testing and the Method of Sieves (1998) (4)
SEMIPARAMETRIC INFERENCE AND MODELS (2005) (3)
On the Asymptotic Shape of Bayesian Sequential Tests of $\theta \leqq 0$ Versus $\theta > 0$ for Exponential Families (1973) (3)
Identifiability and consistency of network inference using the hub model and variants: a restricted class of Bernoulli mixture models (2020) (3)
Correction Notes: Corrections to "On Some Asymptotically Non-Parametric Competitors of Hotelling's $T^2$" (1965) (3)
Asymptotic Theory of Selection Procedures and Optimality of Gupta's Rules, (1982) (3)
Comments on: Nonparametric inference with generalized likelihood ratio tests (2007) (3)
An Overview of Recent Developments in Genomics and the Statistical Methods that Bear on Them (2009) (3)
A DISCRETE LOG DENSITY EXPANSION BASED APPROACH TO IKONOS IMAGE CLASSIFICATION (2006) (3)
An Exponential Inequality for U-Statistics with Applications to Testing (1995) (3)
Vector quantization of amino acids: Analysis of the HIV V3 loop region (2005) (3)
NONPARAMETRIC TESTING OF AN INDEX MODEL (2001) (3)
Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network (2021) (2)
ANALOGUES OF LINEAR COMBINATIONS OF ORDER STATISTICS IN THE LINEAR MODEL (1971) (2)
Better Bootstrap Confidence Intervals (2008) (2)
EFFICIENT INDEPENDENT COMPONENT ANALYSIS ( II ) (2)
Lawrence Berkeley National Laboratory Lawrence Berkeley National Laboratory Title Detecting DNA regulatory motifs by incorporating positional trends in information content Permalink (2004) (2)
Estimating the probability density of the scattering cross section from Rayleigh scattering experiments (1995) (2)
Nonparametric testing of an exclusion restriction (2005) (2)
Information Bounds and Nonparametric Maximum Likelihood Estimation (Piet Groeneboom and Jon A. Wellner) (1994) (2)
Comment: Ridge Regression and Regularization of Large Matrices (2020) (2)
On Profile Likelihood: Comment (2000) (2)
Optimal objective function in high-dimensional regression (2012) (2)
Learning from learning machines: a new generation of AI technology to meet the needs of science (2021) (2)
Selected works of Peter J. Bickel (2014) (2)
Comments on: Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds (2008) (2)
Qunhua Li and associated statistical methods An overview of recent developments in genomics (2009) (1)
Generalized Pearson correlation squares for capturing mixtures of bivariate linear dependences (2018) (1)
Hidden Markov and State Space Models Asymptotic Analysis of Exact and Approximate Methods for Prediction, Filtering, Smoothing and Statistical Inference (2002) (1)
MINIMIZING FISHER INFORMATION OVER MIXTURES OF DISTRIBUTIONS (2016) (1)
Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131-156, 2008: And Yet It Overfits (2008) (1)
Random matrix theory: A program of the statistics and applied mathematical sciences institute (SAMSI) (2008) (1)
Overfit bounds for classification algorithms (2000) (1)
modENCODE consortia ChIP-seq guidelines and practices of the ENCODE and Material Supplemental (2012) (1)
Binomial Mixture Model With U-shape Constraint (2021) (1)
Discussion of Sara van de Geer: Generic chaining and the L1 penalty (2013) (1)
IDR analysis 101 Measuring consistency between replicates in high-throughput experiments (2010) (1)
David Blackwell, 1919–2010: An explorer in mathematics and statistics (2020) (1)
Discussion of: TreeletsAn adaptive multi-scale basis for sparse unordered data (2008) (1)
On Convergence of Recursive Monte Carlo Filters in Non-Compact State Spaces (2012) (1)
Approximating the inverse of banded matrices by banded matrices with applications to probability and statistics@@@Approximating the inverse of banded matrices by banded matrices with applications to probability and statistics (2011) (1)
Title: Regression and Robust Regression When P and N Are Both Large but Sparsity Doesn't Necessarily Hold Title: Bayesian Adaptive Clinical Trial Methods for Incorporating Auxiliary Data and Identifying Interesting Subgroups, with Application to Orphan Diseases (0)
An Overview of “SCMA II” (1997) (0)
D. in the two cases of rectangular and Laplace parents. Although this limit is (2016) (0)
[Rank-Based Robust Analysis of Linear Models. I. Exposition and Review]: Comment (1988) (0)
Asymptotics for high dimensional regression M-estimates: fixed design results (2018) (0)
NETWORK MODELLING OF TOPOLOGICAL DOMAINS USING HIC DATA By (2018) (0)
Regularized estimation of mixture of elliptic distributions in high dimensional setting and its applications (2012) (0)
Discussion of Treelets by Lee , Nadler and (2007) (0)
ESTIMATION WHEN p IS MUCH LARGER THAN n 1 (2008) (0)
Working Paper Alfred P. Sloan School of Management Consistent Estimation of Scaled Coefficients Consistent Estimation of Scaled Coefficients (0)
Theoretical Comparison of Bootstrap t Confidence Bounds (2008) (0)
Comment (2000) (0)
Book review (1993) (0)
Discussio n of Bickel and Rosenblatt's work on Global Measures of Deviations for Density Estimates (2011) (0)
Discussion of Mease and Wyner : And yet it overfits (2007) (0)
NONPARAMETRIC INFERENCE FOR FUNCTIONS OF ONE VARIABLE (2015) (0)
Measuring Trafﬁc (2008) (0)
Nonparametric variable selection and modeling for spatial and temporal regulatory networks. (2012) (0)
JAMES FRANCIS HANNAN LECTURE SERIES Department of Statistics and Probability Michigan State University (2012) (0)
PREFACE TO THE 2015 EDITION (2015) (0)
UNBIASED ESTIMATION IN CONVEX FAMILffiS1 (2011) (0)
What is a linear process ? ( chaos plus noise / ergodicity / Gaussian process / infinitely divisible law / nonlinear process (2005) (0)
Splice sites are overrepresented in Pasilla binding motif clusters in D. melanogaster genes (2011) (0)
Discussion of three resampling papers (2012) (0)
Generalized $R^2$ Measures for a Mixture of Bivariate Linear Dependences (2018) (0)
Discussion of Treelets by Lee, Nadler and Wasserman (2007) (0)
Абрам Меерович Каган (к 70-летию со дня рождения)@@@Abram Meerovich Kagan (on his 70th birthday) (2007) (0)
Leo Breiman: An important intellectual and personal force in statistics, my life and that of many others (2010) (0)
Hidden Markov model likelihoods and their derivatives behave like i . i . d . ones : Details . ∗ (2002) (0)
Network Inference Using the Hub Model and Variants (2023) (0)
ON CHOICE OF m FOR THE m OUT OF n BOOTSTRAP IN HYPOTHESIS TESTING (2008) (0)
ST ] 2 4 A ug 2 02 0 CORRELATIONS WITH TAILORED EXTREMAL PROPERTIES (2020) (0)
Lindner Approximating the inverse of banded matrices by banded matrices with applications to probability and statistics (2018) (0)
ACHIEVING INFORMATION BOUNDS IN NON AND (2016) (0)
Author Correction: Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network (2022) (0)
An Overview of (1997) (0)
A REMARK ON THE KOLMOGOROV-PETROVSKII CRITERION' (1969) (0)
Abram Meerovich Kagan (on his 70th birthday) (2007) (0)
STATISTICAL MODELS, GOALS, AND PERFORMANCE CRITERIA (2015) (0)
TOOLS FOR ASYMPTOTIC ANALYSIS (2015) (0)
INFERENCE IN SEMIPARAMETRIC MODELS (2015) (0)
Minimax Aspects of Bounded-Influence Regression: Comment (1983) (0)
Book review (1990) (0)
Ridge Regression and Regularization of Large Matrices (2020) (0)
A Conversation with Ildar Ibragimov (1990) (0)
Operativa Volume 15 , Number 2 . 2006 Regularization in Statistics (2006) (0)
Discussion of G. Szekely and M. Rizzo: Brownian Distance Covariance (2009) (0)
Matrix Estimation Meets Statistical Network Analysis: Extracting low-dimensional structures in high dimension (2019) (0)
Book reviews (1984) (0)
Non-Parametric Estimators Which Can Be “Plugged-In” By Peter J. Bickel and Ya’acov Ritov University of California at Berkeley and The Hebrew University of Jerusalem (2001) (0)
Asymptotic Techniques for Use in Statistics - O. E. Barndorff-Nielsen and D. R. Cox. (1990) (0)
Willem van Zwet, 1934–2020 (2020) (0)
MONTE CARLO METHODS (2015) (0)
Ibragimov — Hasminskii Models (1994) (0)
All Russian mathematical portal (2019) (0)
Chapter 19 Discussion of three resampling papers (2012) (0)
Lawrence Berkeley National Laboratory Recent Work Title Extensive cross-regulation of post-transcriptional regulatory networks in Drosophila Permalink (2015) (0)
Vector Quantization of Amino Acids : Analysis of theHuman Immunode ciency Virus V 3 (2007) (0)
Statistics before and after my COPSS Prize (2014) (0)

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