Bayesian nonparametric modeling using mixtures of triangular distributions

Biometrics

Volumn 57, Issue 2, 2001, Pages 518-528

  Perron, F ^a   Mengersen, K ^b  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

Markov chain Monte Carlo; Model selection; Nonparametric modeling; Nonparametric regression; Reversible jump; Triangular distributions

Indexed keywords

CHAINS; MARKOV PROCESSES; PIECEWISE LINEAR TECHNIQUES;

BAYESIAN NONPARAMETRIC MODELING; HIERARCHICAL BAYESIAN; INDISPENSABLE TOOLS; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE-CARLO; MODEL SELECTION; NON-PARAMETRIC MODEL; NON-PARAMETRIC REGRESSION; REVERSIBLE JUMP; TRIANGULAR DISTRIBUTION;

MONTE CARLO METHODS;

ARTICLE; BAYES THEOREM; ERROR; MATHEMATICAL ANALYSIS; MODEL; SIMULATION; STATISTICS;

EID: 0035000043     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.00518.x     Document Type: Article

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