Nonparametric goodness-of-fit

DOI10.1080/03610929908832452zbMath0944.62050OpenAlexW2154531994MaRDI QIDQ4935317

Tim B. Swartz

Publication date: 31 January 2000

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929908832452

zbMATH Keywords

Monte CarloDirichlet processprior elicitationBernoulli modelcomposite hypotheses

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Bayesian inference (62F15)

Related Items (11)

Kullback-Leibler divergence for Bayesian nonparametric model checking ⋮ A consistent bayesian bootstrap for chi-squared goodness-of-fit test using a dirichlet prior ⋮ WIKS: a general Bayesian nonparametric index for quantifying differences between two populations ⋮ The two-sample problem via relative belief ratio ⋮ A test for independence via Bayesian nonparametric estimation of mutual information ⋮ Two-sample Kolmogorov-Smirnov test using a Bayesian nonparametric approach ⋮ A family of power-divergence diagnostics for goodness-of-fit ⋮ On a rapid simulation of the Dirichlet process ⋮ Goodness-of-fit tests based on the distance between the Dirichlet process and its base measure ⋮ A Bayesian nonparametric goodness of fit test for right censored data based on approximate samples from the beta-Stacy process ⋮ Bayesian estimation of extropy and goodness of fit tests

Cites Work

• Unnamed Item
• Unnamed Item
• A simulation-intensive approach for checking hierarchical models
• Prior distributions on spaces of probability measures
• Markov chains for exploring posterior distributions. (With discussion)
• A Bayesian analysis of some nonparametric problems
• A Bayesian approach to outlier detection and residual analysis
• Care and Handling of Univariate Outliers in the General Linear Model to Detect Spuriosity: A Bayesian Approach
• Some Algebra and Geometry for Hierarchical Models, Applied to Diagnostics
• Approximating distributions of random functionals of Ferguson-Dirichlet priors
• Bayesian ikference procedures derived via the concept of relative surprise
• Subjective priors for the dirichlet process
• The Selection of Prior Distributions by Formal Rules
• Bayesian Analysis of Stochastically Ordered Distributions of Categorical Variables
• Bayesian Tests and Model Diagnostics in Conditionally Independent Hierarchical Models
• Adaptive Rejection Sampling for Gibbs Sampling

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