Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB

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PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python

Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R with "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations in R

A Python implementation of Naive Bayes from scratch.

Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB

A unified interface for computing surprisal (log probabilities) from language models! Supports neural, symbolic, and black-box API models.

A log likelihood process for optimal entry / exit / stopping.

Interface for mathematical/statistical densities in Julia

This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB (old location)

Likelihood-Based Inference for Time Series Extremes

Inferring likelihood and mutation rate of an evolutionary tree through the Jukes-Cantor model and Felsenstein’s algorithm

Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python

Formulate likelihood problems and solve them with maximum likelihood estimation (MLE)

Implementing Logistic Regression for the Image Recognition task

Library for fast computation of log-likelihoods and derivatives of multivariate prior distributions

Classifying certain music genre and others utilizing Log-likelihood Ratio and Logistic Regression

python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites

A Python implementation of Naive Bayes from scratch. Repository influenced by https://github.com/gbroques/naive-bayes