Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
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Updated
Aug 6, 2025 - Python
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
MLE estimation, Linear Regression, Linear Bayesian Regression, Naive Bayes
Implementation of unigram/bigram language models, noisy channel and pointwise mutual information for natural language processing.
Ancestry Calculator for WeGene, It features population admixture model and MLE (Maximum Likelihood Estimation) algorithm to estimate admixture.
翻新的最大似然估计框架 copied and renewed maximum likelihood estimation package
Assignments completed for my Machine Learning course: Topics include probability and statistics proofs, MLE/MAP parameter estimation, EM Algorithm, Bayes Theorem implementations, gradient descent methods, Neural Networks and Deep Learning.
🐍 Write Python code using a YAML-like syntax for cleaner and more readable programming, combining simplicity with the power of the Python ecosystem.
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