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#

mle-estimation

Here are 36 public repositories matching this topic...

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

  • UpdatedMay 13, 2025
  • Jupyter Notebook

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

  • UpdatedFeb 12, 2024
  • C++

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.

  • UpdatedJun 20, 2020
  • Jupyter Notebook

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

  • UpdatedSep 1, 2018
  • Jupyter Notebook

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

  • UpdatedMay 3, 2017
  • Python

Statistical estimation of optimal solutions for combinatorial optimization problems

  • UpdatedFeb 15, 2020
  • Jupyter Notebook

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

  • UpdatedDec 31, 2024
  • Jupyter Notebook

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)

  • UpdatedOct 19, 2021
  • Java

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

  • UpdatedNov 20, 2019
  • Python

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

  • UpdatedApr 30, 2021
  • Jupyter Notebook

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).

  • UpdatedFeb 9, 2019
  • JavaScript
bayesian-inference-linear-gaussian-model

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.

  • UpdatedAug 7, 2021
  • Jupyter Notebook

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