Case studies on model assessment, model selection and inference after model selection
-
Updated
Jan 9, 2024 - HTML
Case studies on model assessment, model selection and inference after model selection
Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
Code and simulations using biologically annotated neural networks
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
This repository commits to the application of biostatistics knowledge on clinical, randomized trials and observational studies.
Predict prices of diamond data in ggplot2
In this study we seek to predict employee attrition with KNN clustering and Naive Bayes, and to predict employee salary using multiple linear regression
Code and Simulations using Biologically Annotated Neural Networks (BANNs)
Reproducibility repo for the simulation and real data results in the SINATRA manuscript set to appear in AoAS.
subsample-order least-angle regression, a algorithm that performs quick, sparse, stable and accurate variable selection for ultrahigh dimensional data under complicated dependence structures, harsh irrepresentable conditions and high multicollinearity.
STAT 2131 (Applied Statistical Method 1) Course Final Project at Pitt in 2023 Fall.
Add a description, image, and links to the variable-selection topic page so that developers can more easily learn about it.
To associate your repository with the variable-selection topic, visit your repo's landing page and select "manage topics."