Convergence of stochastic processes D Pollard
Springer Science & Business Media, 2012
4268 2012 Simulation and the asymptotics of optimization estimators A Pakes, D Pollard
Econometrica: Journal of the Econometric Society, 1027-1057, 1989
1979 1989 Empirical processes: theory and applications D Pollard
Ims, 1990
1407 1990 Cube root asymptotics J Kim, D Pollard
The Annals of Statistics, 191-219, 1990
916 1990 Asymptotics for least absolute deviation regression estimators D Pollard
Econometric Theory 7 (2), 186-199, 1991
878 1991 A user's guide to measure theoretic probability D Pollard
Cambridge University Press, 2002
713 2002 Strong consistency of k-means clustering D Pollard
The annals of statistics, 135-140, 1981
661 1981 U-processes: rates of convergence D Nolan, D Pollard
The Annals of Statistics, 780-799, 1987
605 1987 A Central Limit Theorem for D Pollard
The Annals of Probability 10 (4), 919-926, 1982
350 1982 Asymptotics for minimisers of convex processes NL Hjort, D Pollard
arXiv preprint arXiv:1107.3806, 2011
326 2011 Quantization and the method of 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
253 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
163 1994 Functional Limit Theorems for 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 