D. Pollard

发表

A central limit theorem for empirical processes

D. Pollard, 1982, Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics.

Conditioning as disintegration

Joseph T. Chang, D. Pollard, J. Chang, 1997 .

Simulation and the Asymptotics of Optimization Estimators

D. Pollard, A. Pakes, 1989 .

Strong Consistency of $K$-Means Clustering

D. Pollard, 1981 .

$U$-Processes: Rates of Convergence

D. Pollard, D. Nolan, 1987 .

New Ways to Prove Central Limit Theorems

D. Pollard, 1985, Econometric Theory.

Uniform ratio limit theorems for empirical processes

D. Pollard, 1995 .

An introduction to functional central limit theorems for dependent stochastic processes

D. Pollard, D. Andrews, 1994 .

A Central Limit Theorem for $k$-Means Clustering

D. Pollard, 1982 .

Asymptotics via Empirical Processes

D. Pollard, 1989 .

A User's Guide to Measure Theoretic Probability by David Pollard

D. Pollard, 2001 .

Cube Root Asymptotics

D. Pollard, Jeankyung Kim, 1990 .

Quantization and the method of k -means

David Pollard, D. Pollard, 1982, IEEE Trans. Inf. Theory.

Limit theorems for empirical processes

D. Pollard, 1981 .

GLIVENKO-CANTELLI THEOREMS FOR CLASSES OF CONVEX SETS

D. Pollard, J. Elker, Glivenko-Cantelli Theorem, 1979 .

Leslie G. Valiant. A theory of the learnable. Communications of the ACM,

L. Valiant, D. Pollard, A. Quiroz, 2022 .

General chi-square goodness-of-fit tests with data-dependent cells

D. Pollard, 1979 .

Asymptotics for Least Absolute Deviation Regression Estimators

D. Pollard, 1991, Econometric Theory.

Another Look at Differentiability in Quadratic Mean

D. Pollard, 1997 .

Estimation in Functional Regression for General Exponential Families

Harrison H. Zhou, Harrison Zhou, David Pollard, 2012 .

Asymptotics for minimisers of convex processes

D. Pollard, N. Hjort, 2011, 1107.3806.

Nonlinear least-squares estimation

David Pollard, Peter Radchenko, P. Radchenko, 2006 .

Appendix A Measures and integrals

D. Pollard, 2001 .

Convergence of stochastic processes

D. Pollard, 1984 .

DRAFT : 12 April 2001

D. Pollard, 2001 .

Convergence of stochastic processes

D. Pollard, 1984 .

Asymptotics via Empirical Processes

D. Pollard, 1989 .

Estimation in Functional Regression for General Exponential Families

Harrison H. Zhou, D. Pollard, W. Dou, 2010, SSRN Electronic Journal.

Weak convergence on non-separable metric spaces

D. Pollard, 1979, Advances in Applied Probability.

A User's Guide to Measure Theoretic Probability: DENSITIES AND DERIVATIVES

D. Pollard, 2001 .

A User's Guide to Measure Theoretic Probability by David Pollard

David Pollard, D. Pollard, 2001 .

Some thoughts on Le Cam's statistical decision theory

D. Pollard, 2011, 1107.3811.

Functional Limit Theorems for $U$-Processes

Deborah Nolan, David Pollard, D. Pollard, 1988 .

Some Limit Theorems for Empirical Processes: Discussion of the Paper of Professors Gine and Zinn

R. Dudley, R. Pyke, P. Gaenssler, 1984 .

A User's Guide to Measure Theoretic Probability: REPRESENTATIONS AND COUPLINGS

D. Pollard, 2001 .

Beyond the heuristic approach to Kolmogorov-Smirnov theorems

D. Pollard, 1982, Journal of Applied Probability.

DR AF T Chapter 2 Classical regularity conditions

D. Pollard, 2000 .

2.1 Estimators Defined by Minimization

D. Pollard, Asymptopia, 2022 .

FUNCTIONAL REGRESSION FOR GENERAL EXPONENTIAL FAMILIES

Harrison H. Zhou, David Pollard, Wei Dou, 2010 .

[Tou90] David Touretsky. Advances in Neural Information Processing Systems, volume

L. Valiant, D. Pollard, A. Quiroz, 2022 .

A note on insufficiency and the preservation of Fisher information

D. Pollard, 2011, 1107.3797.

DRAFT : 12 Jan 2001

D. Pollard, 2001 .

Maximal inequalities via bracketing with adaptive truncation

D. Pollard, 2002 .

First version: June 2001. Revised: May 2002. Final revision: June 2002. MAXIMAL INEQUALITIES VIA BRACKETING WITH ADAPTIVE TRUNCATION

D. Pollard, 2002 .

Statistical Simulation

David Pollard, Whitney Newey, Axel Börsch-Supan, 2014, Encyclopedia of Social Network Analysis and Mining.

The minimum distance method of testing

David Pollard, D. Pollard, 1980 .

Glivenko–Cantelli theorems for classes of convex sets

D. Pollard, J. Elker, W. Stute, 1979, Advances in Applied Probability.

MAXIMAL INEQUALITIES VIA BRACKETING WITH ADAPTIVE TRUNCATION LES

D. Pollard, 2002 .

Poisson Approximations

David Pollard, D. Pollard, 2022 .

A unified approach to Riesz type representation theorems

D. Pollard, F. Topsøe, 1975 .