Code and documentations for projects of the "Computational Numerical Statistics" course attended at NOVA Faculdade de Ciencias e Tecnologia, in Lisbon.
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Updated
Jan 29, 2022 - R
Code and documentations for projects of the "Computational Numerical Statistics" course attended at NOVA Faculdade de Ciencias e Tecnologia, in Lisbon.
Adaptive Location and Scale Estimation with Kernel Weighted Averages - Technical Appendix and Supplemental R Code for Pokojovy et al (2024) CSSC Paper
A machine learning approach to categorize NBA players by role using shot characteristic data, highlighting the game's evolution over three decades.
📚 Courseworks over the MSc Statistics at Imperial College London, Department of Mathematics.
Work from the PhD-Level Computation Statistics Course from FSU taken Spring 2019
This repository contains all the projects and laboratory works carried out during the courses studied during the MSc in Statistics and Machine Learning at Linköping University.
The course includes computational applications of statistics and covers main topics : Computer arithmetics, Optimization, Random number generation, Monte Carlo methods, MCMC, Numerical model selection and hypothesis testing, EM algorithm and stochastic optimization (specifically genetic algorithms)
Computational statistics projects for statistical inference using R programming
Using MATLAB in numerical computation & computational statistics
This repository is out of date. See instead: https://github.com/paigejo/ELK
Research in Computational statistics
Final Project from the course - Computational Statistics (Summer Term, 2020), University of Bonn
Antithetic Variates for Monte Carlo Variance Reduction
Slides for the 26th International Conference on Computational Statistics (COMPSTAT 2024)
Code for ABC-APTMC paper
Material for the Computational Statistics Project | Summer 2022 | University of Bonn
Project for the Computational Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).
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