A weakly informative default prior distribution for logistic and other regression models
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- Type
- article
- Published
- 2008-12-01
- Cited by
- 2,057
- References
- 60
- Access
- Open access
- OpenAlex
- https://openalex.org/W2008640468
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1592811
Keywords
Cauchy distribution, Logistic regression, Logistic distribution, Gaussian, Quantile
References
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- Reference Posterior Distributions for Bayesian Inference
- Bayesian Methods in Practice: Experiences in the Pharmaceutical Industry
- Bayes: Radical, liberal, or conservative?
- Bayes Factors for Linear and Log‐Linear Models with Vague Prior Information
- Generalized Linear Models, 2nd Edn.
- Text Categorization Based on Regularized Linear Classification Methods
- Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
- Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
- The fallacy of employing standardized regression coefficients and correlations as measures of effect.
- Estimation of a Covariance Matrix Using the Reference Prior
- On the existence of maximum likelihood estimates in logistic regression models
- Generalized Linear Models (2nd ed.)
- Putting Background Information About Relative Risks into Conjugate Prior Distributions
- Bayesian data analysis.
- Bayesian Methods for Highly Correlated Exposure Data
- Scoring Rules and the Evaluation of Probability Assessors
- A solution to the problem of separation in logistic regression
- A New Perspective on Priors for Generalized Linear Models
- Bayes and Empirical Bayes Methods for Data Analysis
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- Estimating inverse probability weights using super learner when weight‐model specification is unknown in a marginal structural Cox model context
- Continuous‐time capture–recapture in closed populations
- Weapon damage is associated with contest dynamics but not mating success in fallow deer (Dama dama)
- BiMM tree: A decision tree method for modeling clustered and longitudinal binary outcomes
- Testing for covariate balance in comparative studies
- Comparative Analysis of Statistical models in Credit Assessment
- Low-Level and High-Level Microarray Data Analysis
- Sparse model learning for inferring genotype and phenotype associations
- Multiple Comparisons in Genetic Association Studies: A Hierarchical Modeling Approach
- Factor Mixture Models with Ordered Categorical Outcomes: The Mathematical Relation to Mixture Item Response Theory Models and a Comparison Of Maximum Likelihood and Bayesian Model Parameter Estimation Methods
- Beautiful Political Data
- Efficient Data Augmentation in Dynamic Models for Binary and Count Data
- New Perspectives on Regression Adjustment in Causal Inference, with Applications to Educational Program Evaluation
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