Projects in Awesome Lists tagged with maximum-likelihood-estimation

https://github.com/m-clark/models-by-example

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

algorithms bayesian cox-model expectation-maximization gaussian-processes gradient-descent hamiltonian-monte-carlo lasso linear-regression logistic-regression machine-learning maximum-likelihood-estimation mixed-models neural-network pca penalized-regression ridge-regression rkhs splines zero-inflated

Last synced: 30 Jun 2025

https://github.com/monty-se/pinstimation

A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various estimation methods suggested in the literature are included. Additional compelling features comprise posterior probabilities, an implementation of an expectation-maximization (EM) algorithm, and PIN decomposition into layers, and into bad/good components. Versatile data simulation tools, and trade classification algorithms are among the supplementary utilities. The package provides fast, compact, and precise utilities to tackle the sophisticated, error-prone, and time-consuming estimation procedure of informed trading, and this solely using the raw trade-level data.

clustering-analysis expectation-maximisation-algorithm hierarchical-clustering information-asymmetry market-microstructure maximum-likelihood-estimation mixture-distributions poisson-distribution

Last synced: 22 Oct 2025

https://github.com/gbroques/naive-bayes

A Python implementation of Naive Bayes from scratch.

classification data-mining data-mining-algorithms laplace-smoothing log-likelihood maximum-a-posteriori-estimation maximum-likelihood-estimation naive naive-algorithm naive-bayes naive-bayes-algorithm naive-bayes-classification naive-bayes-classifier naive-bayes-implementation naive-bayes-tutorial naivebayes python python3

Last synced: 15 Oct 2025

https://github.com/ecrc/exageostat

A High Performance Unified Framework for Geostatistics on Manycore Systems.

climate-model geostatistics machine-learning manycore maximum-likelihood-estimation prediction statistical-models

Last synced: 01 Mar 2026

https://github.com/viodotcom/ppca_rs

Python+Rust implementation of the Probabilistic Principal Component Analysis model

data-science dimensionality-reduction em-algorithm linear-algebra machine-learning machine-learning-algorithms maximum-likelihood maximum-likelihood-estimation missing-data missing-values pca pca-analysis python rust

Last synced: 11 Apr 2025

https://github.com/stat-ml/geomle

This repo contains code for GeoMLE intrinsic dimension estimation algorithm

intrinsic-dimension manifold-learning maximum-likelihood-estimation

Last synced: 11 Sep 2025

https://github.com/jkirkby3/BsplineDensity

B-Spline Density Estimation Library - nonparametric density estimation using B-Spline density estimator from univariate sample.

basis bsplines density estimation kde kernel kernel-density kernel-density-estimation maximum-likelihood maximum-likelihood-estimation nonparametric nonparametric-regression nonparametric-statistics spline-fit statistics

Last synced: 10 Mar 2025

https://github.com/sendrowski/phasegen

Computation and inference on exact solutions of coalescent distributions under diverse demographic scenarios.

coalescent-theory maximum-likelihood-estimation phase-type-distributions population-genetics

Last synced: 07 Mar 2026

https://github.com/prakhr/neuralnetworksandfuzzylogic

[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic

and-gate-implementation cnn-architecture extreme-learning-machine holdout iris-dataset keras-models kfold-cross-validation kmeans-clustering likelihood-ratio-test logistic-regression matlab maximum-a-posteriori-estimation maximum-likelihood-estimation multilayer-perceptron-network radial-basis-function ridge-regression sklearn-metrics stacked-autoencoder stochastic-gradient-descent xor-neural-network

Last synced: 03 May 2025

https://github.com/jaimemosg/estimationtools

This package provides routines for parameter estimation and model diagnostics for any probability density or mass function implemented in R via maximum likelihood given a data set, with or without covariates. Tools in this package have general applicability, especially in survival analysis and distance sampling. :mag::computer:

distance-sampling maximum-likelihood-estimation r r-package rstats ttt-plot

Last synced: 25 Oct 2025

https://github.com/jb262/MaximumLikelihoodGammaDist

A basic implementation for the maximum likelihood estimators of a gamma distribution's parameters.

excel gamma-distribution inductive inductive-statistics maximum-likelihood maximum-likelihood-estimation statistics vba

Last synced: 30 Jul 2025

https://github.com/divyat09/weibull_data_fitting

Parameter estimation of Weibull Distribution

matlab maximum-likelihood-estimation weibull-distribution

Last synced: 17 Oct 2025

https://github.com/dalmia/bayesian_decision_making-datagiri_mumbai

Jupyter notebook accompanying my talk on "Bayesian Decision Making" for DataGiri

artificial-intelligence data-science datagiri machine-learning maximum-likelihood-estimation python

Last synced: 11 Mar 2026

https://github.com/jtfeld/elooptimized

Maximum-likelihood fitting of Elo scores

elo elo-rating maximum-likelihood-estimation

Last synced: 22 Oct 2025

https://github.com/daodavid/maths-behind-ml

Maths behind machine learning and some implementations from scratch.

cross-entropy cross-entropy-loss gradient-descent log-odds logistic-regression maximum-likelihood-estimation ratio-odds softmax-regression taylor-expansion

Last synced: 05 Feb 2026

https://github.com/dirkschumacher/losep

An R package to detect seperation in binary classification models using linear programming

binary-classification linear-programming logistic-regression maximum-likelihood-estimation r

Last synced: 07 Jul 2025

https://github.com/bio-phys/forcespectroscopymle

Analyze rupture force spectra from single-molecule force spectroscopy experiments to extract disassociation rates and parameters characterizing the free-energy profile underlying the bond.

forcible-bond-rupture julia maximum-likelihood-estimation single-molecule-force-spectroscopy

Last synced: 16 Jan 2026

https://github.com/bio-phys/diffusionmle

Analyze experimental tracking data using a maximum likelihood estimator (MLE) to extract translational diffusion coefficients.

diffusion-coefficient expectation-maximization-algorithm julia maximum-likelihood-estimation

Last synced: 16 Jan 2026

https://github.com/neves-p/daisierobustness

Test the Robustness of DAISIE to Geodynamics and Traits

birth-death-process island-biogeography maximum-likelihood-estimation pipeline r r-package robustness-assessment

Last synced: 06 Oct 2025

https://github.com/bquilty25/outbreaks-public

compartmental-models epidemiology imperial-college infectious-diseases maximum-likelihood-estimation modelling r rmarkdown virus

Last synced: 11 Jun 2026

https://github.com/msmrexe/pytorch-normalizing-flows-2d

A from-scratch implementation of a Normalizing Flow (Real NVP) to model and sample from a 2D 'two-moons' distribution. Allows for GIF visualization of the NF evolution.

change-of-variables course-project density-estimation generative-models maximum-likelihood-estimation normalizing-flows pytorch real-nvp university-project

Last synced: 12 May 2026

https://github.com/oeken/reelskill

CmpE 492 Project: Player rating estimation with probabilistic models and MLE

markov-chain-monte-carlo maximum-likelihood-estimation

Last synced: 13 Jun 2026

https://github.com/kkoukouletsou/pattern-recognition-and-machine-learning

Assignments for Pattern Recognition and Machine Learning Course at ECE AUTH.

bayesian-estimation decision-trees maximum-likelihood-estimation mlp-classifier random-forest rbf-neural-networks svm-classifier

Last synced: 12 Oct 2025

https://github.com/abdoelabassi/statistics_for_ml

Probability & Statistics for Machine Learning & Data Science

a-b-testing bayesian-inference hypothesis-testing maximum-likelihood-estimation probability python statistics

Last synced: 16 May 2026

https://github.com/bcbi/maximumlikelihoodproblems.jl

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

likelihood likelihood-functions log-likelihood log-likelihood-functions maximum-likelihood maximum-likelihood-estimation maximum-likelihood-problems statistical-inference statistics

Last synced: 19 Mar 2026

https://github.com/daodavid/classic-ml

Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

baysian cross-entropy entropy gradient-descent information-gain k-fold-cross-validation lasso-regression linear machine-learning maximum-likelihood-estimation naive-bayes-classifier pca principle-component-analysis probability python regression ridge-regression sigmoid-function softmax-regression suprise

Last synced: 17 Apr 2026

https://github.com/joshspeagle/phot_bias

Biases in Maximum-Likelihood Photometry

bias maximum-likelihood-estimation photometry

Last synced: 12 Oct 2025

https://github.com/hyzhak/mle

Machine Learning: Maximum Likelihood Estimation (MLE)

machine-learning map maximum-a-posteriori-estimation maximum-likelihood-estimation mle

Last synced: 09 Apr 2025

https://github.com/mnk400/gumbelmle

Maximum Likelihood Estimation for gumbel distribution.

gumbel machine-learning maximum-likelihood-estimation paramter-estimation python

Last synced: 17 Aug 2025

https://github.com/aditiisaxena/reservoir-water-level-analysis

Econometrics project that aims to analyze the relationship between Reservoir Water Level and various Power Inequalities in different states of India.

anova-analysis chow-test data-transformation dataset econometrics f-statistics maximum-likelihood-estimation monte-carlo-simulation r-language regression-models statistical-analysis t-test

Last synced: 04 Apr 2025

https://github.com/raczeq/naive-bayes-classifier

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

classification data-mining data-mining-algorithms log-likelihood maximum-a-posteriori-estimation maximum-likelihood-estimation naive naive-bayes naive-bayes-algorithm naive-bayes-classification naive-bayes-classifier naive-bayes-implementation naivebayes python python-3 python3

Last synced: 04 Apr 2025

https://github.com/hailiang-wang/maximum-likelihood-estimation

Collect resources for maximum-likelihood-estimation with Github Python Examples

machine-learning maximum-likelihood-estimation

Last synced: 10 Jun 2026

https://github.com/christopher-w-murphy/class-imbalance-in-ww-polarization

Treating the measurement of the same-sign W polarization fraction as a class imbalance problem

high-energy-physics imbalanced-data keras maximum-likelihood-estimation

Last synced: 28 May 2026

https://github.com/thechibo/estim

Distribution Parameter Estimation - DEPRECATED - please use https://github.com/thechibo/joker

estimation maximum-likelihood-estimation moment-estimation probability-distribution r r-package statistics

Last synced: 27 May 2026

https://github.com/jdtumlinson/knn

This repository contains the code for the kNN and MLE assignment for CS434 Machine Learning and Data Mining at Oregon State University during Fall of 2024. This is being uploaded a few months afte the compleition of this assignment.

cross-validation knn-classification maximum-likelihood-estimation poisson-distribution

Last synced: 01 Apr 2025

https://github.com/simonpierreboucher/mle_econometrics_notebook

This project contains a series of Python notebooks that demonstrate econometric techniques using Maximum Likelihood Estimation (MLE) and Ordinary Least Squares (OLS), with a focus on robust standard error calculations and heteroscedasticity tests.

econometrics linear-models linear-regression maximum-likelihood-estimation mle-estimation python white-test

Last synced: 03 May 2026

https://github.com/helgehatt/master-thesis

Large-scale Dynamic Models of Complex Networks

complex-networks dynamic-models high-performance-computing latent-space machine-learning maximum-likelihood-estimation modeling pytorch time-series-analysis

Last synced: 25 Jan 2026

https://github.com/beliavsky/fit-student-t-distribution

Fit a Student t distribution to univariate data via maximum likelihood

maximum-likelihood-estimation nelder-mead probability-distribution statistics t-distribution

Last synced: 27 Feb 2026

https://github.com/dfleta/hidden-markov-models

Código curso Artificial Intelligence with Python sobre cadenas de Markov y hidden Markov models para el módulo de Modelos de Inteligencia Artificial del curso de especialización en IA y Big Data del IES de Teis

ai hidden-markov-model markov-chain markov-models maximum-likelihood-estimation rock-paper-scissors stationary-distributions