Bayesian nonparametric estimation of test equating functions with covariates
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Publication:1663271
DOI10.1016/j.csda.2015.03.012zbMath1468.62066OpenAlexW2013448194MaRDI QIDQ1663271
Fernando A. Quintana, Andrés F. Barrientos, Jorge A. González
Publication date: 21 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10533/228467
Uses Software
Cites Work
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- Statistical models for test equating, scaling, and linking. With a foreword by Paul W. Holland.
- On a class of Bayesian nonparametric estimates: I. Density estimates
- Dependent mixtures of Dirichlet processes
- Posterior convergence rates of Dirichlet mixtures at smooth densities
- A Bayesian nonparametric approach to test equating
- Polya trees and random distributions
- Some aspects of Pólya tree distributions for statistical modelling
- Slice sampling. (With discussions and rejoinder)
- More aspects of Pólya tree distributions for statistical modelling
- Posterior consistency of Dirichlet mixtures in density estimation
- Prior distributions on spaces of probability measures
- Markov chains for exploring posterior distributions. (With discussion)
- Linking and aligning scores and scales.
- Test equating, scaling, and linking. Methods and practices
- Observed-score equating: an overview
- A Bayesian analysis of some nonparametric problems
- On the support of MacEachern's dependent Dirichlet processes and extensions
- Nonparametric Bayesian models through probit stick-breaking processes
- Prior Processes and Their Applications
- A Predictive Study of Dirichlet Process Mixture Models for Curve Fitting
- Bayesian Nonparametrics
- A Predictive Approach to Model Selection
- The Kernel Method of Test Equating
- Modeling Regression Error With a Mixture of Polya Trees
- Gibbs Sampling Methods for Stick-Breaking Priors
- Random Bernstein Polynomials
- Bayesian Semiparametric Joint Models for Functional Predictors
- An ANOVA Model for Dependent Random Measures
- Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing
- On Consistency of Nonparametric Normal Mixtures for Bayesian Density Estimation
- Order-Based Dependent Dirichlet Processes