statistical-computing
There are 3 repositories under statistical-computing topic.
ImperialCollegeLondon / covid19model
Code for modelling estimated deaths and cases for COVID19.
Language:Stan 945- fastverse
fastverse / fastverse
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
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Global-Policy-Lab / gpl-covid
Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:
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tlverse / sl3_lecture
:notebook: 💪 An introductory workshop lecture on ensemble machine learning with pipelines using the sl3 R package
Language:JavaScript 7pradeepsinngh / Statistical-Data-Analysis-using-R
Intro to Statistical Data Analysis using R
Language:R 6ucla-biostat-257 / 2022spring
About Course webpage for UCLA Biostat 257 (Computational Methods for Biostatistical Research)
Language:HTML 5draktr / monte-library
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.
artificial-intelligencebayesian-inferencebioinformaticschemistryengineeringfinancegibbs-samplinghamiltonian-monte-carloimportance-samplingintegrationmarkov-chain-monte-carlomathematicsmcmcmetropolis-hastingsmetropolis-monte-carlomonte-carlophysicsquantitative-financerejection-samplingstatistical-computingLanguage:Python 4- Language:HTML 4
turgeonmaxime / f20-stat3150
Source code for "STAT 3150 - Fall 2020" webpage
Language:HTML 4DiegoPaniagua23 / statistical-computing
Mathematical Foundations and Statistical Computing in R
Language:R 3jrgant / StatsCompPH-BrownSPH
Statistical Computing Concepts for Public Health Researchers
Language:PostScript 3aws-samples / statistical-compute-environment-on-amazon-eks
This installs a ready to use Posit R Environment on AWS EKS - See Readme for details
Language:TypeScript 2KanchanSatpute / Statistical-Computations
Aspects of numerical analysis in the field of data science (matrix inversion, splines, function optimization, bayesian statistics, MCMC, etc)
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anouel / statcomp_src
Statistical Computing - source Rmarkdown files
balarcode / data-science
Practical implementation of selected algorithms, concepts and techniques from data science, data analysis, data characterization and data visualization topics.
Language:Python 1Kaiyangshi-Ito / nonconvexAG
Nonconvex Accelerated Gradient Method developed by me; paper published at Statistics and Computing -- "Accelerated gradient methods for sparse statistical learning with nonconvex penalties"
Language:Jupyter Notebook 1nabilshadman / r-data-analysis
A modular R framework for data analysis, with emphasis on data processing and reproducible workflows.
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ygeunkim / statistical-computing
Statistical Computing Lab with R
Language:TeX 1chirindaopensource / ginzburg_polarization_model_python_implementation
Python implementation of Ginzburg's (2025) flexible polarization measure P(F,x*) for electoral analysis. Provides high-resolution diagnostic tools to identify ideological fault lines beyond traditional variance-based metrics. Includes ANES data processing, CDF computation, and cleavage point detection algorithms.
Language:Jupyter Notebook 0- Language:R 0
uqresearch / .github
Notice board for UQ lab at ITAM
0woooojng / Courses_of_University
Course works in Statistics department, Machine Learning camps; Include R coding for statistical analysis, Python working for Machine Learning skills
Language:Jupyter Notebook 0Practical implementation of selected algorithms, concepts and techniques in the field of telecommunications.
Language:MATLABBlueFlashX1 / Data-Science-Portfolio
Data Science portfolio showcasing healthcare analytics, machine learning, database systems, and statistical visualization projects. Master's student at University of Arizona seeking growth opportunities in biological/healthcare data science.
Language:HTMLEnd-to-end Python implementation of Ma et al.'s (2025) matrix-variate diffusion index models for macroeconomic forecasting. Features α-PCA factor extraction, supervised screening, and ILS estimation for high-dimensional forecasting with preserved structural information.
dimension-reductioneconometricsfactor-modelsfinancial-modelinghigh-dimensional-statisticsmatrix-factorizationmonte-carlo-simulationnumpyprincipal-component-analysispythonquantitative-financeresearch-replicationscientific-computingstatistical-computingstatistical-modelingsupervised-learningtime-series-analysistime-series-forecastingdiffusion-indexmacroeconomic-forecastingLanguage:Jupyter NotebookEnd-to-End Python implementation of Massacci et al.'s (2025) novel Randomized Alpha Test for high-dimensional factor models. Features robust OLS estimation, Extreme Value Theory-based inference, Monte Carlo simulation engine, and rolling-window empirical analysis. Handles N>T panels with non-Gaussian, heteroskedastic returns.
asset-pricingeconometricsempirical-researchextreme-value-theoryfactor-modelsfinancefinancial-modelinghigh-dimensionalhypothesis-testingmonte-carlopanel-dataportfolio-analysispythonquantitative-financerandomized-testingresearch-replicationstatistical-computingstatistical-inferencetime-seriesacademic-softwareLanguage:Jupyter NotebookDavi007shaulin / copula-fund-analysis
A comprehensive analysis tool for evaluating copula-based investment strategies in financial markets. Includes functions for simulating fund performance under different copula assumptions and analyzing their impact on risk and return metrics.
