simple but efficient kernel regression and anomaly detection algorithms
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Updated
Aug 2, 2024 - MATLAB
simple but efficient kernel regression and anomaly detection algorithms
Files for my Nonlinear Systems and Controls class.
Markov chain simulator in a sequence stratigraphic framework
KPC-Toolbox: MATLAB toolbox to fit Markovian Arrival Processes
Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (SISSY)
This repository provides a simple code for simulating the model of opinion dynamics in DeGroot (1974).
Models the resource allocation with spectrum defragmentation in eleastic optical networks using continuous time Markov chain models.
Simulation of integrated information in biological systems.
Stochastic System Identification Toolkit (SSIT) to model, analyze and design single-cell experiments
Queueing Theory and Markov Chain cases, where Stochastic Modeling is applied
course project of Probability and Stochastic Processes (2) of EE, Tsinghua University.
Synthetic Data Generation by Markov Chain Monte Carlo (MCMC)
A portfolio of miscellaneous work, currently containing a paper on the use of Markov Chains with weather prediction and accompanying MATLAB code.
Measuring the performance of bigrams and trigrams in language modeling problems
Probability Distributions - Markov Chain - Poisson Process - M/M/1 - M/M/1/K - M/M/c - M/M/c/c - M/G/1 | Queuing Systems at ECE NTUA
Semestrální práce z předmětu Stochastické systémy a procesy
MATLAB codes for paper: Tractable Maximum Likelihood Estimation for Latent Structure Influence Models with Applications to EEG & ECoG processing
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