A Comparative Study of Monte Carlo Methods for Efficient Evaluation of Marginal Likelihoods

Research output: Contribution to journal › Article › Academic › peer-review

32 Citations (Scopus)

Original language	English
Pages (from-to)	3398-3414
Number of pages	17
Journal	Computational Statistics & Data Analysis
Volume	56
Issue number	11
DOIs	https://doi.org/10.1016/j.csda.2010.09.001
Publication status	Published - 2012

Research programs

@article{54b0118b7cab438aa27f1193c8a3ebeb,

title = "A Comparative Study of Monte Carlo Methods for Efficient Evaluation of Marginal Likelihoods",

author = "Ardia, \{D (David)\} and Nalan Basturk and LF Hoogerheide and \{van Dijk\}, HK",

year = "2012",

doi = "10.1016/j.csda.2010.09.001",

language = "English",

volume = "56",

pages = "3398--3414",

journal = "Computational Statistics \& Data Analysis",

issn = "0167-9473",

publisher = "Elsevier",

number = "11",

}

TY - JOUR

T1 - A Comparative Study of Monte Carlo Methods for Efficient Evaluation of Marginal Likelihoods

AU - Ardia, D (David)

AU - Basturk, Nalan

AU - Hoogerheide, LF

AU - van Dijk, HK

PY - 2012

Y1 - 2012

U2 - 10.1016/j.csda.2010.09.001

DO - 10.1016/j.csda.2010.09.001

M3 - Article

SN - 0167-9473

VL - 56

SP - 3398

EP - 3414

JO - Computational Statistics & Data Analysis

JF - Computational Statistics & Data Analysis

IS - 11

ER -