mle-estimation

Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)

Probability Models, Detection, and ML + MMSE estimation

Code for reproducing the MLE examples in the manuscript “A Cornucopia of Maximum Likelihood Algorithms“ by Lange, Li, and Zhou

L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions

Maximum likelihood fits for low photon count data - For active develeopment visit gitlab.peulen.xyz

介绍和举例（正态分布、泊松分布、伽马分布）展示了极大似然估计。This paper introduces and gives examples (normal distribution, Poisson distribution, gamma distribution) to show the MLE.

UW course projects

Aspects of numerical analysis in the field of data science (matrix inversion, splines, function optimization, bayesian statistics, MCMC, etc)

MLE estimation, Linear Regression, Linear Bayesian Regression, Naive Bayes

Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects

This is a repository with the assignments of IE675b Machine Learning course at University of Mannheim.

Statistical estimation of optimal solutions for combinatorial optimization problems

Implementation of unigram/bigram language models, noisy channel and pointwise mutual information for natural language processing.

Java based implementation of an MLE method using chi square test to calculate interference during meiotic crossover (the number of double strand dna breaks that don't result in a crossover)

For master’s students in mathematical economics, focusing on econometric methods and applications.

A natural time analysis of the Earthquake Cycles in Taiwan by evaluating EPS scores using R and Python.

This is a set of Python Codes related to a basic data science Probability Course at a masters level.

A calculator that detect and estimat the heritability for discreet characters in species with known phylogeny using Markov chain Monte Carlo technique and filtering results by MLE (maximum likelihood estimation).

Ancestry Calculator for WeGene, It features population admixture model and MLE (Maximum Likelihood Estimation) algorithm to estimate admixture.