likelihood

Image-processing software for cryo-electron microscopy

Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience.

R package for statistical inference using partially observed Markov processes

🚫 ↩️ A document that introduces Bayesian data analysis.

Implementation of the conjugate prior table for Bayesian Statistics

Phylogenetic Likelihood Library

Provides likelihood functions for Gaussian Processes.

Generate target statistics

Repository hosting the KLFitter library – the Kinematic Likelihood Fitter.

HAWC Accelerated Likelihood - python-only framework for HAWC data analysis

Cosmology Sampler of LIKelihoods

LikelihoodProfiler is a Julia package for practical identifiability analysis and confidence intervals evaluation.

package useful for likelihood-based inference

Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign

Create and validate simplified likelihoods from full likelihoods.

Non-parametric conditional density estimation with binned conditional histograms

Frequentist Stellar Kinematics Analyser

ReMU - Response Matrix Utilities

A cobaya low-ell likelihood polarized for planck 2020 data (NPIPE release)

A cobaya high-ell likelihood polarized for planck 2020 data (NPIPE release)

Replication package for Abbring and Salimans (2021), "The Likelihood of Mixed Hitting Times," with MATLAB code for estimating mixed hitting-time models

Likelihood Based Optimal Partitioning

To build a classification model to predict the likelihood of a liability customer buying personal loans.

An introduction to some generalized linear models using the likelihood approach and R. (scroll down for a menu)

Data collected from the patients of Sylhet Diabetes Hospital, Bangladesh.

Binning optimisation of binary data

A C++ implementation of the Schnute-Deriso delay difference model

This repository contains a method to reconstruct the motion, or swing, of cast-off spatter patterns. The method is based on stain inspection and Euclidean geometry. The reconstructed swing is represented as a three-dimensional region of statistical likelihood. See the README.txt for instructions to install and run the repository scripts.