Work on Bayesian growth mixture models including hidden Markov chains and softmax regressions for representing latent class memberships.
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Updated
May 28, 2024 - R
Work on Bayesian growth mixture models including hidden Markov chains and softmax regressions for representing latent class memberships.
Notes for the jointprob group
learnB4SS workshop homepage
Bayesian inference with probabilistic programming.
2024 US presidential election model and simulation (daily data updates until election)
Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Repository for the "Bayesian Statistics" course, MSc degree in Data Science & AI (University of Trieste)
A list of links and pages for early career neuroscientists covering neuroimaging, programming and research skills
A tool-box for prior elicitation.
Gaussian processes in TensorFlow
Statistical package in Python based on Pandas
Bayesian Statistics using Julia and Turing
This repository holds slides and code for a full Bayesian statistics graduate course.
RStan, the R interface to Stan
Tidy data frames and expressions with statistical summaries 📜
Data analysis of 1701 supernovae distances to estimate cosmological parameters using Markov Chain Monte Carlo
4 Plotly Dash apps that animate Bayesian updates of 3-dimensional Dirichlet distributions with multinomial data
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