Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
Public version of PolyChord: See polychord.co.uk for PolyChordPro
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.
The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody Design".
A unified interface for computing surprisal (log probabilities) from language models! Supports neural, symbolic, and black-box API models.
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
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
Inverse binomial sampling for efficient log-likelihood estimation of simulator models in Python
Inferring likelihood and mutation rate of an evolutionary tree through the Jukes-Cantor model and Felsenstein’s algorithm
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
Some movies to teach statistical concepts
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
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