The Annals of Applied Probability

An Official Journal of the Institute of Mathematical Statistics.


Volume 21, Number 6

Publication Date: December 2011

Frontmatter

Table of Contents

Editorial Board

Articles

Archimedes’ principle for Brownian liquid

Krzysztof Burdzy, Zhen-Qing Chen and Soumik Pal; 2053-2074

Upper large deviations for the maximal flow through a domain of ℝd in first passage percolation

Raphaël Cerf and Marie Théret; 2075-2108

Sequential Monte Carlo smoothing for general state space hidden Markov models

Randal Douc, Aurélien Garivier, Eric Moulines and Jimmy Olsson; 2109-2145

Mixing time of exponential random graphs

Shankar Bhamidi, Guy Bresler and Allan Sly; 2146-2170

A Wiener–Hopf Monte Carlo simulation technique for Lévy processes

A. Kuznetsov, A. E. Kyprianou, J. C. Pardo and K. van Schaik; 2171-2190

Optimal arbitrage under model uncertainty

Daniel Fernholz and Ioannis Karatzas; 2191-2225

Error analysis of tau-leap simulation methods

David F. Anderson, Arnab Ganguly and Thomas G. Kurtz; 2226-2262

Limit theorems for Markov processes indexed by continuous time Galton–Watson trees

Vincent Bansaye, Jean-François Delmas, Laurence Marsalle and Viet Chi Tran; 2263-2314

A sequential Monte Carlo approach to computing tail probabilities in stochastic models

Hock Peng Chan and Tze Leung Lai; 2315-2342

Analysis of error propagation in particle filters with approximation

Boris N. Oreshkin and Mark J. Coates; 2343-2378

Malliavin calculus for backward stochastic differential equations and application to numerical solutions

Yaozhong Hu, David Nualart and Xiaoming Song; 2379-2423

Anomalous dissipation in a stochastic inviscid dyadic model

David Barbato, Franco Flandoli and Francesco Morandin; 2424-2446

Asymptotic behavior of Aldous’ gossip process

Shirshendu Chatterjee and Rick Durrett; 2447-2482

2012 © Institute of Mathematical Statistics