Loi a posteriori And NotG. Mclachlan

List of bibliographic references

Number of relevant bibliographic references: 6.

Ident.	Authors (with country if any)	Title
000425	Manjunath Narayana [États-Unis] ; Allen Hanson [États-Unis] ; Erik G. Learned-Miller [États-Unis]	Background subtraction: separating the modeling and the inference
000D76	YUNFEI XU [États-Unis] ; JONGEUN CHOI [États-Unis] ; Sarat Dass [États-Unis] ; Tapabrata Maiti [États-Unis]	Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks
001A54	HAIFENG ZHAO [République populaire de Chine] ; Antonio Robles-Kelly [Australie] ; JUN ZHOU [Australie] ; JIANFENG LU [République populaire de Chine] ; Jing-Yu Yang [République populaire de Chine]	Graph attribute embedding via Riemannian submersion learning
001D24	Judith Rousseau [France] ; Kerrie Mengersen [Australie]	Asymptotic behaviour of the posterior distribution in overfitted mixture models
002C76	Darfiana Nur [Australie] ; David Allingham [Australie] ; Judith Rousseau [France] ; Kerrie L. Mengersen [Australie] ; Ross Mcvinish [Australie]	Bayesian hidden Markov model for DNA sequence segmentation : Aprior sensitivity analysis
005295	G. Casella [États-Unis] ; K. L. Mengersen [Australie] ; C. P. Robert [France] ; D. M. Titterington [Royaume-Uni]	Perfect samplers for mixtures of distributions

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