There are 3 repositories under statistical-computing topic.
Code for modelling estimated deaths and cases for COVID19.
Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:
:notebook: 💪 An introductory workshop lecture on ensemble machine learning with pipelines using the sl3 R package
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.
Intro to Statistical Data Analysis using R
Source code for "STAT 3150 - Fall 2020" webpage
About Course webpage for UCLA Biostat 257 (Computational Methods for Biostatistical Research)
Statistical Computing Concepts for Public Health Researchers
This installs a ready to use Posit R Environment on AWS EKS - See Readme for details
Aspects of numerical analysis in the field of data science (matrix inversion, splines, function optimization, bayesian statistics, MCMC, etc)
Statistical Computing - source Rmarkdown files
Statistical Computing Lab with R
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
Sampling and Regression Analysis w/ SAS
course sub-material for statistical computing class (2021 Fall)
Collection of Sijia Liu's Course Projects at Carnegie Mellon University
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.
Notice board for UQ lab at ITAM
Advanced methods for efficient scientific computing in Python/R/C++
Practical implementation of selected algorithms, concepts and techniques in the field of communications.
Practical implementation of selected data science, analysis, characterization and visualization concepts.
Experiments coming from various sources like Statistical Computing
My scripts from BL5233 lectures and practicals.
Look here for general information about how the course will run, Github, etc.
Course works in Statistics department, Machine Learning camps; Include R coding for statistical analysis, Python working for Machine Learning skills
Experiments on statistical computing