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Web-based VPython: Performing a least squares fit

Learn how to perform a least squares fit using Web-Based VPython! 🐍📊 This tutorial walks you step by step through data fitting, plotting, and analyzing results with VPython in a web environment.
GitHub

A lightweight, research-grade Python implementation of Dynamic Conditional Correlation (DCC)–GARCH models for multivariate financial returns.

The dcc_garch package implements the Dynamic Conditional Correlation (DCC) framework proposed by Engle (2002) — a cornerstone in multivariate volatility modeling. It estimates time-varying covariance ...
GitHub

Using Machine Learning Algorithms to Optimize Treatment with High-Cost Biologics in a National Cohort of Patients with Inflammatory Bowel Disease

This repository contains all code to reproduce the results and figures from: Jason K. Hou, Tiffany M. Tang, Shubhada Sansgiry, Tony Van, Peter Richardson, Codey Pham, Francessca Cunningham, Jessica A.
Frontiers

The ability of SABRE, a new quantitative receptor function model, to quantify receptor binding from even challenging concentration-effect data with a single unified fit

The Signal Amplification, Binding affinity, and Receptor-activation Efficacy (SABRE) model is the most recent general and quantitative model of receptor function. A specific extension of the SABRE ...