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On Particle Learning

On Particle Learning

3 June 2010
Nicolas Chopin
A. Iacobucci
Jean-Michel Marin
Kerrie Mengersen
Christian P. Robert
Robin J. Ryder
Christian Schafer
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Papers citing "On Particle Learning"

10 / 10 papers shown
Title
Sequential Bayesian inference for stochastic epidemic models of
  cumulative incidence
Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
Sam A. Whitaker
Andrew Golightly
Colin S. Gillespie
T. Kypraios
33
0
0
22 May 2024
Marginalized particle Gibbs for multiple state-space models coupled
  through shared parameters
Marginalized particle Gibbs for multiple state-space models coupled through shared parameters
A. Wigren
Fredrik Lindsten
16
0
0
13 Oct 2022
Entropy-based adaptive design for contour finding and estimating
  reliability
Entropy-based adaptive design for contour finding and estimating reliability
D. Cole
R. Gramacy
James E. Warner
Geoffrey F. Bomarito
Patrick E. Leser
W. Leser
14
19
0
24 May 2021
Parameter elimination in particle Gibbs sampling
Parameter elimination in particle Gibbs sampling
A. Wigren
Riccardo Sven Risuleo
Lawrence M. Murray
Fredrik Lindsten
27
15
0
30 Oct 2019
Efficient SMC$^2$ schemes for stochastic kinetic models
Efficient SMC2^22 schemes for stochastic kinetic models
Andrew Golightly
T. Kypraios
8
11
0
10 Apr 2017
Online state and parameter estimation in Dynamic Generalised Linear
  Models
Online state and parameter estimation in Dynamic Generalised Linear Models
R. Vieira
D. Wilkinson
20
7
0
30 Aug 2016
Towards Practical Bayesian Parameter and State Estimation
Towards Practical Bayesian Parameter and State Estimation
Yusuf Erol
Yi Wu
Lei Li
Stuart J. Russell
29
0
0
29 Mar 2016
On Particle Methods for Parameter Estimation in State-Space Models
On Particle Methods for Parameter Estimation in State-Space Models
N. Kantas
Arnaud Doucet
Sumeetpal S. Singh
J. Maciejowski
Nicolas Chopin
43
427
0
30 Dec 2014
Particle approximations of the score and observed information matrix for
  parameter estimation in state space models with linear computational cost
Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost
Christopher Nemeth
Paul Fearnhead
Lyudmila Mihaylova
56
45
0
04 Jun 2013
Online Variational Bayes Inference for High-Dimensional Correlated Data
Online Variational Bayes Inference for High-Dimensional Correlated Data
Sylvie (Tchumtchoua) Kabisa
David B. Dunson
Jeffrey S. Morris
86
16
0
04 Aug 2011
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