Probability Surveys

Probability Surveys is a peer-reviewed electronic journal which publishes survey articles in theoretical and applied probability. The style of articles may range from reviews of recent research to graduate textbook exposition. Articles may be broad or narrow in scope. The essential requirements are a well specified topic and target audience, together with clear exposition. The journal is sponsored by the Institute of Mathematical Statistics and by the Bernoulli Society. Probability Surveys is an Open Access journal. The full text of each article published is freely available to all readers.


Volume 9

Publication Date: 2012

Around the circular law

Charles Bordenave and Djalil Chafaï; 1-89

A lecture on the averaging process

David Aldous and Daniel Lanoue; 90-102

Simply generated trees, conditioned Galton–Watson trees, random allocations and condensation

Svante Janson; 103-252

On temporally completely monotone functions for Markov processes

Francis Hirsch and Marc Yor; 253-286

Szegö’s theorem and its probabilistic descendants

N.H. Bingham; 287-324

Multivariate prediction and matrix Szegö theory

N.H. Bingham; 325-339

Quasi-stationary distributions and population processes

Sylvie Méléard and Denis Villemonais; 340-410

Bougerol’s identity in law and extensions

Stavros Vakeroudis; 411-437

Erratum: Three theorems in discrete random geometry

Geoffrey Grimmett; 438

Quantile coupling inequalities and their applications

David M. Mason and Harrison H. Zhou; 439-479

2013 © IMS and ISI/Bernoulli Society