bootstrap-confidence-intervals

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference. For v1, see https://openintro-ims.netlify.app.

This repo contains code to perform Bootstrap Confidence Intervals estimation (a.k.a. Monte Carlo Confidence Interval or Empirical Confidence Interval estimation) for Machine Learing models.

Bunch of exercises computed during the Machine Learning for Finance course.

Bootstrap confidence interval.

A collection of helper functions for forming bootstrapping confidence intervals and examining bootstrap estimates in structural equation modelling.