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Paul Damien
Researcher at University of Texas at Austin
Publications - 86
Citations - 3048
Paul Damien is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Bayesian probability & Bayesian statistics. The author has an hindex of 26, co-authored 83 publications receiving 2811 citations. Previous affiliations of Paul Damien include Imperial College London & University of Michigan.
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Gibbs sampling for Bayesian non‐conjugate and hierarchical models by using auxiliary variables
TL;DR: The aim of the paper is to provide an alternative sampling algorithm to rejection‐based methods and other sampling approaches such as the Metropolis–Hastings algorithm.
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A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods
TL;DR: A multivariate Poisson-lognormal (MVPLN) specification that simultaneously models crash counts by injury severity and non-zero diagonal elements suggests overdispersion in crash counts at all levels of severity is offered.
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Bayesian Nonparametric Inference for Random Distributions and Related Functions
TL;DR: In this paper, the authors discuss and illustrate the rich modelling and analytic possibilities that are available to the statistician within the Bayesian nonparametric and/or semiparametric framework.
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Customer Satisfaction for Financial Services: The Role of Products, Services, and Information Technology
TL;DR: In this article, a full Bayesian analysis based on data collected from customers of a leading financial services company was conducted to assess the impact of the drivers of customer satisfaction across the customer population, finding that satisfaction with product offerings is a primary driver of overall customer satisfaction.
Journal ArticleDOI
Customer Satisfaction for Financial Services: the Role of Products, Services, and Information Technology
TL;DR: In this article, a full Bayesian analysis based on data collected from customers of a leading financial services company was conducted to assess the impact of the drivers of customer satisfaction across the customer population, finding that satisfaction with product offerings is a primary driver of overall customer satisfaction.