JSTOR Daily

Fitting Bayesian Two-Stage Generalized Linear Models Using Random Samples via the SIR Algorithm

Although it is common practice to fit a complex Bayesian model using Markov chain Monte Carlo (MCMC) methods, we provide an alternative sampling-based method to fit a two-stage hierarchical model in ...
mp.pl

Risk assessment of chronic obstructive pulmonary disease using a Bayesian network based on a provincial survey

Introduction: The diagnosis of chronic obstructive pulmonary disease (COPD) is based on spirometry tests, which are difficult to perform in some populations. Objectives: We aimed to construct a risk ...
lse

Bayesian Inference

This course is available on the BSc in Actuarial Science, BSc in Data Science, BSc in Mathematics with Data Science, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business.
Baseball Prospectus

Caught Looking: Building A Better Run Expectancy Matrix

Caught Looking examines articles from the academic literature relevant to baseball and statistical analysis. This review looks at the inaugural article from the Journal of Sports Analytics, written by ...
JSTOR Daily

Bayesian spatial analysis of demographic survey data: An application to contraceptive use at first sexual intercourse

Demographic Research, Vol. 8 (JANUARY - JUNE 2003), pp. 61-92 (34 pages) In this paper we analyze the spatial patterns of the risk of unprotected sexual intercourse for Italian women during their ...