Adapting two-class support vector classification methods to many class problems by Hill, S, Doucet, A

Particle methods for risk sensitive filtering by Sadhu, S, Doucet, A

Network consensus in the Wasserstein metric space of probability measures by Bishop, AN, Doucet, A

A framework for Kernel-based multi-category classification by Hill, S, Doucet, A

Exponential forgetting and geometric ergodicity for optimal filtering in general state-space models by Tadic, V, Doucet, A

Online Expectation-Maximization type algorithms for parameter estimation in general state space models by Andrieu, C, Doucet, A

An Online Expectation-Maximization Algorithm for Changepoint Models by Yildirim, S, Singh, S, Doucet, A

Fast computation of Wasserstein barycenters by Cuturi, M, Doucet, A

Asymptotic bias of stochastic gradient search by Tadic, V, Doucet, A

Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC by Andrieu, C, Doucet, A

TRACKING OF MULTIPLE MERGING AND SPLITTING TARGETS: A STATISTICAL PERSPECTIVE COMMENTARY by Doucet, A, Vo, B

Parameter estimation in general state-space models using particle methods by Doucet, A, Tadic, V

Analyticity of entropy rates of continuous-state hidden Markov models by Tadic, V, Doucet, A

Sequential Bayesian wavelet denoising by Coates, M, Doucet, A

Sequential Monte Carlo methods for diffusion processes by Jasra, A, Doucet, A

Simulated annealing for maximum A Posteriori parameter estimation of hidden Markov models by Andrieu, C, Doucet, A

Bayesian nonparametric models on decomposable graphs by Caron, F, Doucet, A

Iterative algorithms for state estimation of jump Markov linear systems by Doucet, A, Andrieu, C

Commentary by Doucet, A, Vo, B

A Monte Carlo algorithm for optimal quantization in hidden Markov models by Tadić, V, Doucet, A