✦ LIBER ✦

Nonparametric Bayes inference for concave distribution functions

✍ Scribed by Martin B. Hansen; Steffen L. Lauritzen

Book ID: 108542507
Publisher: John Wiley and Sons
Year: 2002
Tongue: English
Weight: 529 KB
Volume: 56
Category: Article
ISSN: 0039-0402
DOI: 10.1111/1467-9574.04600

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Bayesian Nonparametric Inference for Ran

Bayesian Nonparametric Inference for Random Distributions and Related Functions

✍ Stephen G. Walker; Paul Damien; PuruShottam W. Laud; Adrian F. M. Smith 📂 Article 📅 1999 🏛 Blackwell Publishing 🌐 English ⚖ 611 KB

Nonparametric Bayes estimation of a dist

Nonparametric Bayes estimation of a distribution function with truncated data

✍ Mauro Gasparini 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 411 KB

A truncation bias affects the observation of a pair of variables (X, Y), so that data are available only if Y ~<X. In such a situation, the nonparametric maximum likelihood estimator (NPMLE) of the distribution function of Y may have unpleasant features (Woodroofe, Ann. Statisr 13 (1985) 163-177). A

Stepwise Bayes distributional inference

Stepwise Bayes distributional inference for a finite population

✍ B. V. Roussanov 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 180 KB

Theory & Methods: An Empirical Bayes Inf

Theory & Methods: An Empirical Bayes Inference for the von Mises Distribution

✍ Josemar Rodrigues; José Galvão Leite; Luis A. Milan 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 85 KB

Likelihood inferences for the link funct

Likelihood inferences for the link function without knowing the true underlying distributions

✍ Tsung-Shan Tsou 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 187 KB