Adaptive mixture of Student-t distributions as a flexible candidate distribution for efficient simulation: the R package AdMit

D. Ardia, L.F. Hoogerheide, H.K. van Dijk

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

126 Downloads (Pure)

Original language	English
Pages (from-to)	1-32
Number of pages	32
Journal	Journal of Statistical Software
Volume	29
Issue number	3
DOIs	https://doi.org/10.18637/jss.v029.i03
Publication status	Published - 2009

Access to Document

@article{8cdc0873c10740bcb0b1403d57e4056e,

title = "Adaptive mixture of Student-t distributions as a flexible candidate distribution for efficient simulation: the R package AdMit",

author = "D. Ardia and L.F. Hoogerheide and {van Dijk}, H.K.",

year = "2009",

doi = "10.18637/jss.v029.i03",

language = "English",

volume = "29",

pages = "1--32",

journal = "Journal of Statistical Software",

issn = "1548-7660",

publisher = "University of California at Los Angeles",

number = "3",

}

TY - JOUR

T1 - Adaptive mixture of Student-t distributions as a flexible candidate distribution for efficient simulation: the R package AdMit

AU - Ardia, D.

AU - Hoogerheide, L.F.

AU - van Dijk, H.K.

PY - 2009

Y1 - 2009

U2 - 10.18637/jss.v029.i03

DO - 10.18637/jss.v029.i03

M3 - Article

VL - 29

SP - 1

EP - 32

JO - Journal of Statistical Software

JF - Journal of Statistical Software

SN - 1548-7660

IS - 3

ER -