Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Two parameter Poisson–Dirichlet process"'
Publikováno v:
Journal of the Royal Statistical Society. Series B (Statistical Methodology), 2009 Nov 01. 71(5), 993-1008.
Externí odkaz:
https://www.jstor.org/stable/40541566
Publikováno v:
The Annals of Applied Probability, 2008 Aug 01. 18(4), 1519-1547.
Externí odkaz:
https://www.jstor.org/stable/25442677
Akademický článek
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Autor:
Ishwaran, Hemant, James, Lancelot F.
Publikováno v:
Sankhyā: The Indian Journal of Statistics (2003-2007), 2003 Aug 01. 65(3), 577-592.
Externí odkaz:
https://www.jstor.org/stable/25053289
Akademický článek
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Publikováno v:
Electron. Commun. Probab.
Consider a list of labeled objects that are organized in a heap. At each time, object $j$ is selected with probability $p_j$ and moved to the top of the heap. This procedure defines a Markov chain on the set of permutations which is referred to in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e00668e25fbafae1fe2ddfd3488f357
Publikováno v:
Statist. Sci. 32, no. 4 (2017), 487-500
A fundamental problem in Bayesian nonparametrics consists of selecting a prior distribution by assuming that the corresponding predictive probabilities obey certain properties. An early discussion of such a problem, although in a parametric framework
Publikováno v:
Statistics and Computing. 25:67-78
We investigate the use of a large class of discrete random probability measures, which is referred to as the class $$\mathcal {Q}$$Q, in the context of Bayesian nonparametric mixture modeling. The class $$\mathcal {Q}$$Q encompasses both the the two-
Species sampling problems have a long history in ecological and biological studies and a number of statistical issues, including the evaluation of species richness, are still to be addressed. In this paper, motivated by Bayesian nonparametric inferen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a25611980cd0e0989fbcdac653ec42c
http://hdl.handle.net/10281/250027
http://hdl.handle.net/10281/250027
Autor:
Stefano Favaro, Shui Feng
Publikováno v:
Electron. J. Probab.
Electronic Journal of Probability
Electronic Journal of Probability
The study of random partitions has been an active research area in probability over the last twenty years. A quantity that has attracted a lot of attention is the number of blocks in the random partition. Depending on the area of applications this qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b659a6e5b4fd48223c30e7fc4f1f51e
http://hdl.handle.net/2318/155542
http://hdl.handle.net/2318/155542