Official AFNI source and documentation
-
Updated
May 30, 2024 - C
Official AFNI source and documentation
pure-Python HistFactory implementation with tensors and autodiff
R package for score matching by automatic differentiation
Inference Tools for SciViews::R
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
R package for statistical inference using partially observed Markov processes
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
MCMC sample analysis, kernel densities, plotting, and GUI
Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.
Mobile Games A/B Testing Analysis
Personal notes during reading Statistics with R by Jenine K. Harris, 1st ed. (2019)
Analysis of bus delays data from TTC (Toronto Transit Commission). So far we concluded that there is a statistically signigificant difference in number of delays between days with good weather and bad weather within the "Mechanical" and "General" delay reasons. More details in Jupyter Notebooks.
A descriptive and inferential statistical analysis from the Kaggle database on the data collected by an IoT smoke detection device. Machine learning techniques were also used to help build this smart device, increasing its accuracy.
An R-package of teaching financial machine learning
For Data Enthusiasts Statistics Cheatsheet 2024
A comprehensive guide to applied econometrics and causal inference in R. Discusses Randomized Controlled Trials, Instrumental Variables, Regression Discontinuity Design, and Difference-in-Differences.
Statistical inference on machine learning or general non-parametric models
Estimating route conditional travel time and its uncertainty.
In this project, we will construct deep learning models from scratch using NumPy , including linear regression, logistic regression, and neural networks. we also converge parameter estimation, back-propagation, and statistical inference.
Statistics tools and utilities.
Add a description, image, and links to the statistical-inference topic page so that developers can more easily learn about it.
To associate your repository with the statistical-inference topic, visit your repo's landing page and select "manage topics."