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 installs a ready to use Posit R Environment on AWS EKS - See Readme for details
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.
Statistical Computing - source Rmarkdown files
Advanced methods for efficient scientific computing in Python/R/C++
Notice board for UQ lab at ITAM
Look here for general information about how the course will run, Github, etc.
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.
Practical implementation of selected algorithms, concepts and techniques in the field of communications.
Practical implementation of selected data science, analysis, characterization and visualization concepts.
Course works in Statistics department, Machine Learning camps; Include R coding for statistical analysis, Python working for Machine Learning skills
Collection of Sijia Liu's Course Projects at Carnegie Mellon University
Statistical Computing Lab with R
Experiments coming from various sources like Statistical Computing
course sub-material for statistical computing class (2021 Fall)
Aspects of numerical analysis in the field of data science (matrix inversion, splines, function optimization, bayesian statistics, MCMC, etc)
Statistical Computing Concepts for Public Health Researchers
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