Bayesian analysis of nonlinear and non-Gaussian state space models via multiple-try sampling methods

ISSN： 0960-3174

Source： Statistics and Computing, Vol.16, Iss.2, 2006-06, pp. : 125-141

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Some applications of nonlinear and non-Gaussian state-space modelling by means of hidden Markov models

By Langrock Roland

Journal of Applied Statistics, Vol. 38, Iss. 12, 2011-12 ,pp. : 2955-2970

Taylor & Francis Ltd

Access to resources Recommend Favorite

Acceleration of the Multiple-Try Metropolis algorithm using antithetic and stratified sampling

By Craiu Radu Lemieux Christiane

Statistics and Computing, Vol. 17, Iss. 2, 2007-06 ,pp. : 109-120

Springer Publishing Company

Access to resources Recommend Favorite

Non-linear regression models for Approximate Bayesian Computation

By Blum Michael François Olivier

Statistics and Computing, Vol. 20, Iss. 1, 2010-01 ,pp. : 63-73

Springer Publishing Company

Access to resources Recommend Favorite

Deterministic approximate inference techniques for conditionally Gaussian state space models

By Zoeter Onno Heskes Tom

Statistics and Computing, Vol. 16, Iss. 3, 2006-09 ,pp. : 279-292

Springer Publishing Company

Access to resources Recommend Favorite

LS estimation of periodic autoregressive models with non-Gaussian errors: a simulation study

By Abdullah Smadi

Journal of Statistical Computation and Simulation, Vol. 75, Iss. 3, 2005-03 ,pp. : 207-216

Taylor & Francis Ltd

Access to resources Recommend Favorite