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A Bayesian approach for nonlinear regression models with continuous errors
Rolando De La Cruz-Mesía
, Guillermo Marshall
Faculty of Engineering and Science
Research output
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Contribution to journal
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Article
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peer-review
9
Scopus citations
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Keyphrases
Autoregressive Process
50%
Bayesian Analysis
50%
Bayesian Approach
100%
Bayesian Inference
100%
Gelfand
50%
Generalized Least Squares
50%
Gibbs Sampler
50%
Least Squares Technique
50%
Marginal Density
50%
Nonlinear Regression Model
100%
Sampling Methods
50%
Statist
50%
Unequally Spaced
50%
Mathematics
Autoregressive Model
50%
Bayesian Analysis
50%
Bayesian Approach
100%
Bayesian Inference
100%
Generalized Least Squares
50%
Gibbs Sampler
50%
Marginals
50%
Nonlinear Regression Model
100%
Real Data
50%
INIS
data
100%
density
50%
errors
100%
foundations
50%
least square fit
50%
nonlinear problems
100%
samplers
50%
sampling
50%
Psychology
Autoregressive Model
50%
Bayesian Analysis
50%
Regression Model
100%
Arts and Humanities
Continuous
100%
Technique
50%
Economics, Econometrics and Finance
Bayesian
100%