BAYESIAN NONPARAMETRIC AND PARAMETRIC INFERENCE

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WALKER S.G.

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Journal Paper

Paper Information

Journal: JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS) Year:2002 | Volume:1 | Issue:1-2 Page(s): 143-163

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Information Journal Paper

Title

BAYESIAN NONPARAMETRIC AND PARAMETRIC INFERENCE

Author(s)

WALKER S.G. | Issue Writer Certificate

Keywords

CONSISTENCYQ4

DECISION THEORYQ4

DIRICHLET PROCESSQ4

EXPECTED UTILITY RULEQ4

HELLINGER DISTANCEQ4

KULLBACK-LEIBLER DIVERGENCEQ4

NONPARAMETRIC PRIORQ4

PARAMETRIC PREDICTIVE DENSITYQ4

Abstract

This paper reviews Bayesian Nonparametric methods and discusses how parametric predictive densities can be constructed using nonparametric ideas.

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APA: Copy

WALKER, S.G.. (2002). BAYESIAN NONPARAMETRIC AND PARAMETRIC INFERENCE . JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), 1(1-2), 143-163. SID. https://sid.ir/paper/117812/en

Vancouver: Copy

WALKER S.G.. BAYESIAN NONPARAMETRIC AND PARAMETRIC INFERENCE . JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS)[Internet]. 2002;1(1-2):143-163. Available from: https://sid.ir/paper/117812/en

IEEE: Copy

S.G. WALKER, “BAYESIAN NONPARAMETRIC AND PARAMETRIC INFERENCE ,” JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), vol. 1, no. 1-2, pp. 143–163, 2002, [Online]. Available: https://sid.ir/paper/117812/en

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