Relevant states and memory in Markov chain bootstrapping and simulation (vol 256, pg 163, 2017)

Cerqueti Roy; Falbo Paolo; Pelizzari Cristian

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Relevant states and memory in Markov chain bootstrapping and simulation (vol 256, pg 163, 2017)

机译：马尔可夫链举止和仿真中的相关状态和记忆（Vol 256，PG 163,2017）

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来源
《European Journal of Operational Research》 |2019年第3期|共1页
作者
Cerqueti Roy; Falbo Paolo; Pelizzari Cristian;
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作者单位

Univ Macerata Dipartimento Econ &

Diritto Via Crescimbeni 20 I-62100 Macerata Mc Italy;

Univ Brescia Dipartimento Econ &

Management Contrada S Chiara 50 I-25122 Brescia Bs Italy;

Univ Brescia Dipartimento Econ &

Management Contrada S Chiara 50 I-25122 Brescia Bs Italy;

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正文语种 eng
中图分类运筹学;
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1. Relevant states and memory in Markov chain bootstrapping and simulation (vol 256, pg 163, 2017) [J] . Cerqueti Roy, Falbo Paolo, Pelizzari Cristian European Journal of Operational Research . 2019,第3期

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2. Bayes or bootstrap? A simulation study comparing the performance of Bayesian Markov chain Monte Carlo sampling and bootstrapping in assessing phylogenetic confidence [J] . Alfaro ME, Zoller S, Lutzoni F Molecular biology and evolution . 2003,第2期

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8. Superefficient Simulation of Markov Chains and Semi-Markov Processes [R] . Fishman, G. S. 1982

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Relevant states and memory in Markov chain bootstrapping and simulation (vol 256, pg 163, 2017)

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