Pinned Repositories
nb_bart
Python implementation of MCMC algorithm for estimation of spatial negative binomial model with Bayesian additive regression trees
bayes_mxl
Bayesian estimation of MXL models
robit
Robust discrete choice models with t-distributed kernel errors
semiparametric_mxl
Python implementation of MCMC methods for estimation of mixed logit models with flexible semiparametric mixing distributions
cythonbiogeme
C++ part of Biogeme, intefaced with Python
hddm
Estimation of hierarchical drift diffusion models using maximum simulated likelihood
infvb_spatial_count
Integrated non-factorised variational Bayes and Markov chain Monte Carlo methods for estimation of spatial negative binomial models
inter_intra
mixed_logit_inter_intra
RicoKrueger.github.io
my webpage
RicoKrueger's Repositories
RicoKrueger/hddm
Estimation of hierarchical drift diffusion models using maximum simulated likelihood
RicoKrueger/RicoKrueger.github.io
my webpage
RicoKrueger/cythonbiogeme
C++ part of Biogeme, intefaced with Python
RicoKrueger/robit
Robust discrete choice models with t-distributed kernel errors
RicoKrueger/inter_intra
RicoKrueger/sampling
Sampling of observations and alternatives in discrete choice models
RicoKrueger/infvb_spatial_count
Integrated non-factorised variational Bayes and Markov chain Monte Carlo methods for estimation of spatial negative binomial models
RicoKrueger/nb_bart
Python implementation of MCMC algorithm for estimation of spatial negative binomial model with Bayesian additive regression trees
RicoKrueger/semiparametric_mxl
Python implementation of MCMC methods for estimation of mixed logit models with flexible semiparametric mixing distributions
RicoKrueger/mixed_logit_inter_intra
RicoKrueger/bayes_mxl
Bayesian estimation of MXL models