For an intro to predictive modeling and NNs, open the GitHub link: IntroPredModeling
For details of the deep learning algorithm, such as NNs, RNNs, and LSTMs, open the GitHub link: Deep Learning
Metropolis-Hasting Algorithm Link
Cross-Validation Link
An Introduction to Linear Regression Link
Particle MCMC
Statistics of Extremes (STAT 380)
Spatial Statistics (STAT 370)
Bayesian Statistics (STAT 240)
Computational Statistics (STAT 340)
Contemporary Topics in Computational Science (AMCS 394E)
Machine Learning (CS 229)
Data Mining and Pattern Recognigition
Nonparameteric Statistics
Functional Data Analysis
Advanced Inference
Linear Models