Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion

3 December 2021

Papers citing "Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion"

7 / 7 papers shown

Title
Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo T. Catanach Huy D. Vo B. Munsky 55 12 0 06 Jan 2020
Bayesian Updating and Uncertainty Quantification using Sequential Tempered MCMC with the Rank-One Modified Metropolis Algorithm T. Catanach J. Beck 29 10 0 23 Apr 2018
Accelerating MCMC Algorithms Christian P. Robert Victor Elvira Nicholas G. Tawn Changye Wu 56 141 0 08 Apr 2018
Sequential Monte Carlo Methods for High-Dimensional Inverse Problems: A case study for the Navier-Stokes equations N. Kantas A. Beskos Ajay Jasra 58 100 0 23 Jul 2013
On the Convergence of Adaptive Sequential Monte Carlo Methods A. Beskos Ajay Jasra N. Kantas Alexandre Hoang Thiery 54 93 0 27 Jun 2013
MCMC using Hamiltonian dynamics Radford M. Neal 282 3,278 0 09 Jun 2012
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster S. Cotter Gareth O. Roberts Andrew M. Stuart D. White 62 480 0 03 Feb 2012