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

Probability Models, Detection, and ML + MMSE estimation

UW course projects

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

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.

Statistical estimation of optimal solutions for combinatorial optimization problems

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

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

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

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)

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

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

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

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).

Here for a small dataset we have used OLS(Ordiniary Least Square) and MLE(Maximum likelihood Estimation ) to calculate the regression parameters slope(b1),intercept(b0) and standard deviation of reisduals.At the end we can conclude that both the methods of estimation produces the same result.

Classification task of body positions of skeletal body movements recorded from a Kinect device (Kinect Gesture Dataset). A Bayesian approach is employed using a Linear Gaussian Model and Maximum Likelihood Estimation, assuming dependencies between skeleton joints.

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