hierarchicalbayes
Versión 1.0.0 (6,99 MB) por
Dimitris Korobilis
MATLAB code that demonstrates hierarchical priors for shrinkage and variable selection. Follows the monograph Korobilis, D. and Shimizu, K.
Citar como
Dimitris Korobilis (2025). hierarchicalbayes (https://github.com/korobilis/hierarchicalbayes/releases/tag/v1.0.0), GitHub. Retrieved June 10, 2025.
Compatibilidad con la versión de MATLAB
Se creó con
R2021b
Compatible con cualquier versión
Compatibilidad con las plataformas
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BayesHDTE
BayesHDTE/BayesMethods
BayesHDTE/BayesMethods/functions
BayesHDTE/BayesMethods/original_approach
BayesHDTE/FreqMethods
BayesHDTE/FreqMethods/PenalizedToolBox
BayesHDTE/FreqMethods/PenalizedToolBox/helpfiles
BayesHDTE/FreqMethods/PenalizedToolBox/internals
BayesHDTE/FreqMethods/PenalizedToolBox/jss
BayesHDTE/FreqMethods/PenalizedToolBox/jss/jsstable
BayesHDTE/FreqMethods/PenalizedToolBox/models
BayesHDTE/FreqMethods/PenalizedToolBox/models/@glm_base
BayesHDTE/FreqMethods/PenalizedToolBox/models/@glm_gaussian
BayesHDTE/FreqMethods/PenalizedToolBox/models/@glm_logistic
BayesHDTE/FreqMethods/PenalizedToolBox/models/@glm_multinomial
BayesHDTE/FreqMethods/PenalizedToolBox/models/@glm_poisson
BayesHDTE/FreqMethods/PenalizedToolBox/models/@link
BayesHDTE/FreqMethods/PenalizedToolBox/penalties
Causal Inference
Causal Inference/Abortion
Causal Inference/EminentDomain
Causal Inference/Institutions
Linear Regression
Linear Regression/functions
Linear Regression/functions/priors
Synthetic experiments/cond_vs_uncond
Synthetic experiments/cond_vs_uncond/functions
Synthetic experiments/cond_vs_uncond/functions/priors
Time-varying parameter models
Time-varying parameter models/MODELS
Time-varying parameter models/functions
VARs
VARs/MODELS
VARs/data
VARs/data/Old_data
VARs/functions
| Versión | Publicado | Notas de la versión | |
|---|---|---|---|
| 1.0.0 |
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
