Implemented algorithms from a numerical stochastic methods university course
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Updated
Jun 21, 2018 - MATLAB
Implemented algorithms from a numerical stochastic methods university course
This repository houses a comprehensive Graphical User Interface (GUI) tool designed for analyzing and visualizing random variables (RVs) and random processes (RPs). The tool allows users to input specific values and parameters of RVs and RPs, enabling the generation of statistical data, graphical representations, and calculations related
Observation on the Implication of Central Limit Theorem
Probability Methods for Informatics Engineering (University of Aveiro)
These projects were part of the course Data Analysis (ECE Department, AUTH, 7th semester).
A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
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