bibtype C - Conference Paper (international conference)
ARLID 0041470
utime 20240103182750.8
mtime 20061009235959.9
title (primary) (eng) Markov Chain Monte Carlo methods in computational statistics and econometrics
specification
page_count 6 s.
serial
ARLID cav_un_epca*0076799
ISBN 978-80-7043-480-2
title Proceedings of the 24th International Conference Mathematical Methods in Economics 2006
page_num 525-530
publisher
place Plzeň
name University of West Bohemia in Pilsen
year 2006
editor
name1 Lukáš
name2 L.
title (cze) MCMC metody ve výpočetní statistice a ekonometrii
keyword Random search
keyword MCMC
keyword optimization
author (primary)
ARLID cav_un_auth*0101227
name1 Volf
name2 Petr
institution UTIA-B
full_dept Department of Stochastic Informatics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 12B
cas_special
project
project_id GA402/04/1294
agency GA ČR
ARLID cav_un_auth*0001810
research CEZ:AV0Z10750506
abstract (eng) The paper recals the MCMC methods, namely the Gibbs algorithm, the Metropolis--Hastings algorithm and variants used for solution of optimization problems, namely the simulated annealing. The objective is to describe the schemes of the algorithms, to recall their theoretical foundation, and to show their use both in Bayes data analysis and in randomized optimization problem.
abstract (cze) Práce připomíná podstatu a algoritmy Markov chain Monte Carlo metod (Gibbsův sampler, algoritmus Metropolise a Hastingse) a ukazuje jejich použití jak v Bayesovské analýze dat, tak v problému optimalizace, ve spojení se simulovaným žíháním.
action
ARLID cav_un_auth*0216663
name Mathematical Methods in Economics 2006
place Plzeň
dates 13.09.2006-15.09.2006
country CZ
reportyear 2010
RIV BB
permalink http://hdl.handle.net/11104/0134931
arlyear 2006
mrcbU63 cav_un_epca*0076799 Proceedings of the 24th International Conference Mathematical Methods in Economics 2006 978-80-7043-480-2 525 530 Plzeň University of West Bohemia in Pilsen 2006
mrcbU67 Lukáš L. 340