Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 2: Contributions to Probability Theory, Part 2
Conference: Fifth Berkeley Symposium on Mathematical Statistics and Probability
Date: June 21-July 18, 1965 and December 27, 1965-January 7, 1966
Location: Statistical Laboratory of the University of California, Berkeley
Editors: Lucien M. Le Cam and Jerzy Neyman
Berkeley, Calif.:
University of California Press,
1967
483 pp.
Subjects:
Mathematical statistics--CongressesProbabilities
ISSN:0097-0433
2006 © The Regents of the University of California. All Rights Reserved.
Miscellaneous front pages, Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 2: Contributions to Probability Theory, Pt. 2
Lajos Takács
The Martin boundary of recurrent random walks on countable groups
H. Kesten; 51-74
Application of additive functionals to the boundary problem of Markov processes. Lévy's system of U-processes
Minoru Motoo; 75-110
A survey on the Markov process on the boundary of multidimensional diffusion
Tadashi Ueno; 111-130
Some theorems concerning resolvents over locally compact spaces
Hiroshi Kunita and Takesi Watanabe; 131-164
A note on Markov semigroups which are compact for some but not all t>0
Jane M. O. Speakman; 197-199
Uniqueness of stationary measures for branching processes and applications
Samuel Karlin and James McGregor; 243-254
A theorem on functions of characteristic functions and its application to some renewal theoretic random walk problems
Walter L. Smith; 265-309
Roots of the one-sided N-shift
J. R. Blum, H. D. Brunk and D. L. Hanson; 327-333
A geometric construction of measure preserving transformations
R. V. Chacon; 335-360
Conservative positive contractions in {L superscript 1}
Arshag B. Hajian and Yuji Ito; 361-374
Strong mixing properties of Markov chains with infinite invariant measure
Klaus Krickeberg; 431-446
Existence of bounded invariant measures in ergodic theory
Jacques Neveu; 461-472
Berkeley Symposium on Mathematical Statistics and Probability