Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1006.0554
Cited By
On Particle Learning
3 June 2010
Nicolas Chopin
A. Iacobucci
Jean-Michel Marin
Kerrie Mengersen
Christian P. Robert
Robin J. Ryder
Christian Schafer
Re-assign community
ArXiv
PDF
HTML
Papers citing
"On Particle Learning"
10 / 10 papers shown
Title
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
A. Wigren
Fredrik Lindsten
16
0
0
13 Oct 2022
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
A. Wigren
Riccardo Sven Risuleo
Lawrence M. Murray
Fredrik Lindsten
27
15
0
30 Oct 2019
Efficient SMC
2
^2
2
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
R. Vieira
D. Wilkinson
20
7
0
30 Aug 2016
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
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
Christopher Nemeth
Paul Fearnhead
Lyudmila Mihaylova
56
45
0
04 Jun 2013
Online Variational Bayes Inference for High-Dimensional Correlated Data
Sylvie (Tchumtchoua) Kabisa
David B. Dunson
Jeffrey S. Morris
86
16
0
04 Aug 2011
1