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STAT 516: Stochastic Modeling of Scientific Data (2024 Autumn)

Lecture Notes

Lecture 01: Review on probability

Lecture 02: Graph and networks

Lecture 03: Discrete-time Markov chain - Part I

Lecture 04: Discrete-time Markov chain - Part II

Lecture 05: Review on statistical inference

Lecture 06: Inference on Markov chain

Lecture 07: Monte Carlo methods

Lecture 08: EM algorithm and Gradient Descent Methods

Lecture 09: Hidden Markov model

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