A fully Bayesian parametric approach for cytogenetic dosimetry
type: Item
instance of: scholarly article
title: A fully Bayesian parametric approach for cytogenetic dosimetry
zbMATH Open document ID: 1253.62085
DOI: 10.1214/11-BJPS152
published in: Brazilian Journal of Probability and Statistics
publication date: 2013-01-11T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.bjps/1350394630
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 6124756
zbMATH Keywords: calibration
zbMATH Keywords: categorical data
zbMATH Keywords: continuation-ratio logits
zbMATH Keywords: Bayesian methods
zbMATH Keywords: nonlinear structural model
author: Carlos Daniel M. Paulino
author: Giovani Loiola Silva
author: Marcia D. Branco
describes a project that uses: boa
describes a project that uses: WinBUGS
MaRDI profile type: Publication
cites work: Q3150769
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cites work: A New Perspective on Priors for Generalized Linear Models
cites work: Bayes and empirical Bayes methods for data analysis.
cites work: Q4864274
cites work: A Nonparametric Bayesian Modeling Approach for Cytogenetic Dosimetry
cites work: Statistical Calibration: A Review
cites work: Binomial Regression with Misclassification
cites work: Q3144428
cites work: Bayesian Measures of Model Complexity and Fit
OpenAlex ID: W1994277304
description: scientific article; zbMATH DE number 6124756