Particle Metropolis-Hastings using gradient and Hessian information

4 November 2013

Fredrik Lindsten

Papers citing "Particle Metropolis-Hastings using gradient and Hessian information"

4 / 4 papers shown

Title
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters Conor Rosato Vincent Beraud P. Horridge Thomas B. Schon Simon Maskell 15 14 0 02 Nov 2021
On Particle Methods for Parameter Estimation in State-Space Models N. Kantas Arnaud Doucet Sumeetpal S. Singh J. Maciejowski Nicolas Chopin 24 427 0 30 Dec 2014
Particle Metropolis-adjusted Langevin algorithms Christopher Nemeth Chris Sherlock Paul Fearnhead 28 24 0 23 Dec 2014
MCMC using Hamiltonian dynamics Radford M. Neal 170 3,260 0 09 Jun 2012