Computational statistics projects for statistical inference using R programming
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Updated
Nov 19, 2018
Computational statistics projects for statistical inference using R programming
This repository corresponds to the course "Statistical Computing" taught at the School of Mathematics and Statistics (FME), UPC under the MESIO-UPC-UB Joint Interuniversity Master's Program under the instructor Klaus Langohr Gerhardt
Collection of Sijia Liu's Course Projects at Carnegie Mellon University
Advanced methods for efficient scientific computing in Python/R/C++
Aspects of numerical analysis in the field of data science (matrix inversion, splines, function optimization, bayesian statistics, MCMC, etc)
Experiments coming from various sources like Statistical Computing
course sub-material for statistical computing class (2021 Fall)
Notice board for UQ lab at ITAM
CUHK Course code: STAT 3011 | This course is designed to strengthen students' ability in statistical computing as well as in processing and analysing data. Students are required to participate in several term projects with emphasis on techniques of data management and analysis.
My scripts from BL5233 lectures and practicals.
Course works in Statistics department, Machine Learning camps; Include R coding for statistical analysis, Python working for Machine Learning skills
Look here for general information about how the course will run, Github, etc.
Statistical Computing - source Rmarkdown files
Statistical Computing Lab with R
Statistical Computing Concepts for Public Health Researchers
Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.
Feng Li's Course Materials for Statistical Computing
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