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Bayesian Inference in Spatial Sample Selection Models
Osman Doğan
, Süleyman Taşpinar
University of Illinois at Urbana-Champaign
City University of New York
Research output
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Contribution to journal
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Article
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peer-review
9
Citations (Scopus)
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Keyphrases
Perturbation Term
100%
Bayesian Inference
100%
Covariance Structure
100%
Sample Selection Model
100%
Simulation Study
50%
Spatial Correlation
50%
Bayesian Estimation
50%
Selection Bias
50%
Data Augmentation
50%
Bayesian Methods
50%
Markov Chain Monte Carlo Algorithm
50%
Spatially Correlated
50%
Correlated Disturbance
50%
Posterior Analysis
50%
Full Covariance
50%
Natural Parameterization
50%
Mathematics
Model Selection
100%
Bayesian
100%
Bayesian Inference
100%
Covariance Structure
100%
Variance
50%
Monte Carlo Algorithm
50%
Markov Chain Monte Carlo
50%
Spatial Correlation
50%
Simulation Study
50%
Agricultural and Biological Sciences
Covariance
100%
Sampling
100%
Markov Chain
50%