Name: Luigi Acerbi
Type: User
Company: University of Helsinki
Bio: Machine learning, Bayesian optimization, approximate inference, computational cognitive neuroscience.
Twitter: AcerbiLuigi
Location: Helsinki, Finland
Blog: http://www.helsinki.fi/machine-and-human-intelligence
Luigi Acerbi's Projects
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB (old location)
Tutorials on statistical model fitting (optimization, Bayesian inference) for Day 2 of BAMB! 2022.
Models of visuo-vestibular Bayesian causal inference
Human Online Adaptation to Changes in Prior Probability
Compatibility probability of measurements across experiments
Repository of utility files for the Computational Statistics course.
Tutorial on optimization and model fitting held at the CoSMo 2017 summer school.
Tutorial on optimization and model fitting held at the CoSMo 2018 summer school.
Ensemble (inversion) slice sampling: a robust, self-tuning MCMC method for posterior inference.
1-D Gaussian mixture model toolbox for MATLAB.
Compute absolute goodness of fit via entropy estimation
Lite Gaussian process regression toolbox
Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
Tutorial on computational modeling and statistical model fitting part of the IBL Computational Neuroscience course (2020).
Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
Benchmark of posterior and model inference algorithms for (moderately) expensive likelihoods.
Materials for an intro workshop to modeling and model fitting in psychophysics and neuroscience
Personal website of Luigi Acerbi, Ph.D.
Luigi Acerbi's utility functions for MATLAB.
Computation of the marginal likelihood from MCMC output
Template/interface generator for C code from MATLAB functions.
MATLAB suite for model building and model fitting.
Multivariate effective sample size (mESS) of Markov chain in MATLAB.
Benchmark of derivative-free optimization algorithms applied to models in cognitive and neural science.
Tutorial on Bayesian model fitting with (Py)VBMC.
Visualize optimization algorithms in MATLAB.
Tutorial on Bayesian model fitting with PyVBMC.
Repository of utility files for the Probabilistic Cognitive Modelling course.
Bayesian adaptive stimulus placement of psychometric function for MATLAB.