Stated simply, Etalumis uses statistical, specifically Bayesian inference (and remarkably backtraces from the simulation executable itself) to, in a somewhat imprecise sense, reverse engineer the ...

Recent psychophysical experiments indicate that humans perform near-optimal Bayesian inference in a wide variety of tasks, ranging from cue integration to decision making to motor control.

Syllabus: Bayesian inference concepts: Prior and posterior distributions, Bayes estimators, credible inter- vals, Bayes factors, Bayesian forecasting, Posterior Predictive distribution. Linear models ...

Stan is a free and open-source C++ program that performs Bayesian inference or optimization for arbitrary user-specified models and can be called from the command line, R, Python, Matlab, or Julia and ...

Composite likelihoods are increasingly used in applications where the full likelihood is analytically unknown or computationally prohibitive. Although some frequentist properties of the maximum ...

Syllabus: Bayesian inference concepts: Prior and posterior distributions, Bayes estimators, credible inter- vals, Bayes factors, Bayesian forecasting, Posterior Predictive distribution. Linear models ...

Bayesian Statistics and Inference Publication Trend The graph below shows the total number of publications each year in Bayesian Statistics and Inference.