Probability & Statistics¶
This is an introductory course into Probability, Distributions, and Statistics
References¶
- Statistics Review | Chris Mack | University of Texas
- MIT RES.6-012 Introduction to Probability
- 6.041 Probabilistic Systems Analysis and Applied Probability
- MIT 18.650 Statistics for Applications, Fall 2016
- Stanford CS109 Introduction to Probability for Computer Scientists
- A Student's Guide to Bayesian Statistics | Ben Lambert
- Bayesian Statistics | Ben Lambert | Oxford
- Statistics Courses | Penn State University
- Nonparametric Statistics | FourthZ
- Bayesian Statistics | Jingchen Monika Hu
- Statistical Testing and Experiments | Applied AI Course
- Statistics as a Career | University of Nebraska-Lincoln
- Bootstrap Methods and Their Application | Chris Bilder
- Computational Statistics | Chris Bilder
- Mathematical Statistics | Chris Bilder
- Extreme Value Statistics
- Probability & Measure | Cache Lack Math & Stats Lectures
- Extreme Value Theory | Zak Varty
- Statistical Inference | Brian Caffo
- Math Biostat Boot Camp 1 | Brian Caffo
- Math Biostat Boot Camp 2 | Brian Caffo
- Statistics | Christian Møller Pedersen
- STATS 203 - Large Sample Theory (Fall 2020) | JSB UCLA
- Introductory Statistics | Amelia McNamara
- Statistics Fundamentals | StatQuest
- The Metalog Distributions
- Rare event estimation | Patrick Laub
- Algorithms for Rare event simulation | Patrick Laub
- Bayesian Stats | Frank Edwards
- Probability and Statistics | University of Utah