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A Python-based repo for modeling and predicting customer behavior. This project focuses on implementing various statistical and probabilistic models to analyze customer preferences, purchase patter…
Easily wrap a Stan model in a Python package
Bypass "fancy online reader" and just get the darn pdf
CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan program and fit the model to data using CmdStan.
Code and example for the paper "Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs."
BART with ridge function outputs for efficient smoothing
Interactive Markov-chain Monte Carlo Javascript demos
repo for constructing a 2024 presidential election forecast
{gslnls}: GSL multi-start nonlinear least-squares fitting in R
Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"
Simulation and Inference with the Matrix-Normal-Inverse-Wishart Distribution.
The idea is to pass matrices/vectors from R to C++, write pure C++/Eigen code for the computation, and then export the result back to R with the proper data structures.
R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)
Next generation Cosmic desktop environment
Repository for computing the derivatives of Gram-Schmidt vectors
The repository contains the code used to produce the results and the figure illustrated in the article "Loss-based prior for tree topologies in BART model"s
bob-carpenter / transforms
Forked from mjhajharia/transformsTransform geometry experiments
DSPy: The framework for programming—not prompting—language models
This is the development version of the CRAN R package Surrogate — Evaluation of Surrogate Endpoints in Clinical Trials