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Confidence as Bayesian Probability: From Neural Origins to Behavior
(Cell Press, 2015-10)
Research on confidence spreads across several sub-fields of psychology and neuroscience. Here, we explore how a definition of confidence as Bayesian probability can unify these viewpoints. This computational view entails ...
ArviZ a unified library for exploratory analysis of Bayesian models in Python
(Journal of Open Source Software, 2019-01-15)
ArviZ is a Python package for exploratory analysis of Bayesian models. ArviZ aims to be a package that integrates seamlessly with established probabilistic programming languages like PyStan, PyMC, Edward, emcee, Pyro and ...
A simple class of bayesian nonparametric autoregression modelsBAYESIAN ANALYSISBAYESIAN ANAL
(INT SOC BAYESIAN ANALYSIS, 2016)
Bayesian nonparametric roc regression modelingBAYESIAN ANALYSISBAYESIAN ANAL
(INT SOC BAYESIAN ANALYSIS, 2016)
A bayesian semiparametric temporally-stratified proportional hazards model with spatial frailtiesBAYESIAN ANALYSISBAYESIAN ANAL
(INT SOC BAYESIAN ANALYSIS, 2016)
Bayesian nonparametric roc regression modelingBAYESIAN ANALYSISBAYESIAN ANAL
(INT SOC BAYESIAN ANALYSIS, 2016)
Bayesian foundations of nash equilibrium behaviourBayesian foundations of nash equilibrium behaviour
(Sociedade Brasileira de Econometria, 1986)
Predictive model to reduce the dropout rate of university students in Perú: Bayesian Networks vs. Decision Trees
(IEEE Computer Society, 2020-06-01)
This research proposes a prediction model that might help reducing the dropout rate of university students in Peru. For this, a three-phase predictive analysis model was designed which was combined with the stages proposed ...