Bayesian modelling portfolio: price elasticity, MCMC, HMMs, GMM/EM, segment conversion, and a deployed Bayesian model with drift monitoring - sdiazricagno/bayesian-modelling ...
Researchers must often choose between Bayesian or neural network models of behavior, two paradigms with complementary strengths and weaknesses. An ideal paradigm would facilitate testing many kinds of ...
Computational psychiatry has grown rapidly, but modeling approaches remain fragmented and inconsistently implemented across labs. Differences in code, assumptions, and documentation can make results ...