Afra Kilic's repositories
Bayesian-nonlinear-variable-selection
Computationally efficient Bayesian variable selection method to identify linear and nonlinear effects in regression models where a predictor (or feature) can have a zero effect, a non-zero linear effect or non-zero non-linear effect on the outcome variables.
BF-test-for-NAM-Beta-Coefficients
Bayes factor testing for β coefficients in the network autocorrelation model using Savage-Dickey ratio and BIC approximation methods. It proposes Bayes factors for two-sided and multiple hypotheses testing procedures
Effective-Sample-Size-for-Bayesian-NAM
Effective sample size computation for Bayesian Estimation of Network Autocorrelation Model
R-Packages-for-GP
Available R-Packages for Gaussian Process Regression
The_Naive_Bayes_Classifier
The simple math behind the naive Bayes classifier and the implementation of it in R