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Ancestor Sampling for Particle Gibbs

Ancestor Sampling for Particle Gibbs

25 October 2012
Fredrik Lindsten
Michael I. Jordan
Thomas B. Schon
ArXivPDFHTML

Papers citing "Ancestor Sampling for Particle Gibbs"

9 / 9 papers shown
Title
Learning-Based Optimal Control with Performance Guarantees for Unknown
  Systems with Latent States
Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States
Robert Lefringhausen
Supitsana Srithasan
Armin Lederer
Sandra Hirche
20
4
0
31 Mar 2023
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems
Auxiliary MCMC and particle Gibbs samplers for parallelisable inference in latent dynamical systems
Adrien Corenflos
Simo Särkkä
10
0
0
01 Mar 2023
Nested Variational Inference
Nested Variational Inference
Heiko Zimmermann
Hao Wu
Babak Esmaeili
Jan Willem van de Meent
BDL
21
20
0
21 Jun 2021
Causal Discovery and Forecasting in Nonstationary Environments with
  State-Space Models
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models
Biwei Huang
Kun Zhang
Mingming Gong
Clark Glymour
CML
AI4TS
21
63
0
26 May 2019
Bayesian inference in non-Markovian state-space models with applications
  to fractional order systems
Bayesian inference in non-Markovian state-space models with applications to fractional order systems
Pierre E. Jacob
S. Alavi
A. Mahdi
S. Payne
David A. Howey
21
21
0
28 Jan 2016
Particle Gibbs for Bayesian Additive Regression Trees
Particle Gibbs for Bayesian Additive Regression Trees
Balaji Lakshminarayanan
Daniel M. Roy
Yee Whye Teh
35
21
0
16 Feb 2015
A framework for studying synaptic plasticity with neural spike train
  data
A framework for studying synaptic plasticity with neural spike train data
Scott W. Linderman
Christopher H. Stock
Ryan P. Adams
35
28
0
14 Nov 2014
Uniform ergodicity of the Particle Gibbs sampler
Uniform ergodicity of the Particle Gibbs sampler
Fredrik Lindsten
Randal Douc
Eric Moulines
54
54
0
03 Jan 2014
Bayesian Inference and Learning in Gaussian Process State-Space Models
  with Particle MCMC
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
R. Frigola
Fredrik Lindsten
Thomas B. Schon
C. Rasmussen
51
147
0
12 Jun 2013
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