anastasiospanagiotelis / DimensionReductionLinks
Short course on dimension reduction for AMSI
☆35Updated 3 years ago
Alternatives and similar repositories for DimensionReduction
Users that are interested in DimensionReduction are comparing it to the libraries listed below
Sorting:
- Home for the book-in-progress 'Bayesian Learning'☆28Updated last month
- R-package for building and fitting Bayesian ODE models in Stan☆29Updated last year
- ☆56Updated 3 years ago
- Towards a more flexible BART☆23Updated this week
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 4 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Updated 6 years ago
- StatististicalRethinking notebook project using Stan and Pluto notebooks.☆18Updated last year
- Time Series Analysis for the State-Space Model with R/Stan☆24Updated 4 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆60Updated 9 months ago
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆45Updated last year
- A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.☆58Updated 4 months ago
- Code for Vector Quantile Regression (Carlier, Chernozhukov, Galichon, Annals of Statistics, 2016)☆16Updated 4 years ago
- Convex optimization for statistics and machine learning☆35Updated 3 months ago
- Bayesian Learning course at Stockholm University☆157Updated last month
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆26Updated last month
- A quarto notebook introducing Stan in Python (and maybe R).☆33Updated 3 weeks ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆89Updated 5 months ago
- Files for StanCon 2023 tutorial.☆19Updated last year
- Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.☆23Updated last week
- Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC☆32Updated 4 years ago
- R package for Bayesian inference with state-space models using LibBi.☆24Updated last year
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆37Updated last year
- ☆24Updated 3 years ago
- Book Chapter Drafts☆37Updated last year
- Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆51Updated 3 years ago
- State space models (dynamic linear models, hidden Markov models) implemented in Stan.☆48Updated 7 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆33Updated 2 years ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆106Updated last week
- ☆15Updated 6 years ago
- Provides a number of methods for creating and augmenting Latin Hypercube Samples and Orthogonal Array Latin Hypercube Samples☆50Updated last year