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Estimation of cosmological parameters using adaptive importance sampling

Estimation of cosmological parameters using adaptive importance sampling

4 March 2009
Darren Wraith
M. Kilbinger
K. Benabed
Olivier Cappé
J. Cardoso
G. Fort
S. Prunet
Christian P. Robert
ArXiv (abs)PDFHTML

Papers citing "Estimation of cosmological parameters using adaptive importance sampling"

7 / 7 papers shown
Title
Tempered, Anti-trunctated, Multiple Importance Sampling
Tempered, Anti-trunctated, Multiple Importance Sampling
Grégoire Aufort
Pierre Pudlo
D. Burgarella
69
0
0
03 May 2022
Posterior inference unchained with EL_2O
Posterior inference unchained with EL_2O
U. Seljak
Byeonghee Yu
79
10
0
14 Jan 2019
Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy
Markov Chain Monte Carlo Methods for Bayesian Data Analysis in Astronomy
Sanjib Sharma
60
210
0
06 Jun 2017
Approximate Bayesian Computation for Forward Modeling in Cosmology
Approximate Bayesian Computation for Forward Modeling in Cosmology
Joel Akeret
Alexandre Réfrégier
A. Amara
Sebastian Seehars
C. Hasner
47
90
0
27 Apr 2015
Initializing adaptive importance sampling with Markov chains
Initializing adaptive importance sampling with Markov chains
F. Beaujean
Allen Caldwell
66
22
0
29 Apr 2013
Approximating Probability Densities by Iterated Laplace Approximations
Approximating Probability Densities by Iterated Laplace Approximations
B. Bornkamp
550
28
0
17 Mar 2011
Using parallel computation to improve Independent Metropolis--Hastings
  based estimation
Using parallel computation to improve Independent Metropolis--Hastings based estimation
Pierre E. Jacob
Christian P. Robert
Murray H. Smith
109
63
0
08 Oct 2010
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