Bayesian Inference for Hospital Quality in a Selection Model
نویسندگان
چکیده
منابع مشابه
Bayesian Inference for Hospital Quality in a Selection Model: Appendices
A1.1 Prior distributions for (selection model) There are five coefficients in the vector in the hospital multinomial choice model (2) corresponding to the five covariates: distance from patient i’s home to hospital j, the square of this distance, and the product of distance with age, disease stage, and income respectively. The priors for the five coefficients are independent, each Gaussian with...
متن کاملBayesian Inference in a Sample Selection Model
This is the author’s version of a work that was accepted for publication in Journal of Econometrics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was su...
متن کاملBayesian Inference for D-vines: Estimation and Model Selection
During the last two decades the advent of fast computers has made Bayesian inference based on Markov Chain Monte Carlo (MCMC) methods very popular in many fields of science. These Bayesian methods are good alternatives to traditional maximum likelihood (ML) methods since they often can estimate complicated statistical models for which a ML approach fails. In this paper we review available MCMC ...
متن کاملPrior-free Inference for Objective Bayesian Analysis and Model Selection
A new approach to Bayesian inference, named the prior-free inference, is introduced for developing objective Bayesian analysis based on information-theoretic approach. This new approach is essentially a Bayesian method but it does not depend on a prior distribution for unknown parameters. Thus, this approach not only has the advantages of the Bayesian approach but also can avoid the difficulty,...
متن کاملNetDiff – Bayesian model selection for differential gene regulatory network inference
Differential networks allow us to better understand the changes in cellular processes that are exhibited in conditions of interest, identifying variations in gene regulation or protein interaction between, for example, cases and controls, or in response to external stimuli. Here we present a novel methodology for the inference of differential gene regulatory networks from gene expression microa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2002
ISSN: 1556-5068
DOI: 10.2139/ssrn.709364