Convergence of stochastic processes D Pollard Springer Science & Business Media, 2012 | 4270 | 2012 |
Simulation and the asymptotics of optimization estimators A Pakes, D Pollard Econometrica: Journal of the Econometric Society, 1027-1057, 1989 | 1980 | 1989 |
Empirical processes: theory and applications D Pollard Ims, 1990 | 1410 | 1990 |
Cube root asymptotics J Kim, D Pollard The Annals of Statistics, 191-219, 1990 | 920 | 1990 |
Asymptotics for least absolute deviation regression estimators D Pollard Econometric Theory 7 (2), 186-199, 1991 | 880 | 1991 |
A user's guide to measure theoretic probability D Pollard Cambridge University Press, 2002 | 714 | 2002 |
Strong consistency of k-means clustering D Pollard The annals of statistics, 135-140, 1981 | 665 | 1981 |
U-processes: rates of convergence D Nolan, D Pollard The Annals of Statistics, 780-799, 1987 | 607 | 1987 |
A Central Limit Theorem for -Means Clustering D Pollard The Annals of Probability 10 (4), 919-926, 1982 | 353 | 1982 |
Asymptotics for minimisers of convex processes NL Hjort, D Pollard arXiv preprint arXiv:1107.3806, 2011 | 327 | 2011 |
Quantization and the method of-means D Pollard IEEE Transactions on Information theory 28 (2), 199-205, 1982 | 290 | 1982 |
Conditioning as disintegration JT Chang, D Pollard Statistica Neerlandica 51 (3), 287-317, 1997 | 256 | 1997 |
New ways to prove central limit theorems D Pollard Econometric Theory 1 (3), 295-313, 1985 | 227 | 1985 |
Asymptotics via empirical processes D Pollard Statistical science, 341-354, 1989 | 209 | 1989 |
A central limit theorem for empirical processes D Pollard Journal of the australian mathematical society 33 (2), 235-248, 1982 | 191 | 1982 |
An introduction to functional central limit theorems for dependent stochastic processes DWK Andrews, D Pollard International Statistical Review/Revue Internationale de Statistique, 119-132, 1994 | 165 | 1994 |
Functional Limit Theorems for -Processes D Nolan, D Pollard The Annals of Probability 16 (3), 1291-1298, 1988 | 143 | 1988 |
The minimum distance method of testing D Pollard Metrika 27 (1), 43-70, 1980 | 108 | 1980 |
Empirical Process Theory and Application, NSF# CBMS Regional Conference Series in Probability and Statistics D Pollard Vol. II. Institute of Mathematical Statistics, 1990 | 75 | 1990 |
Asymptopia D Pollard Manuscript, Yale University, Dept. of Statist., New Haven, Connecticut, 2000 | 60 | 2000 |