Bayesian – Andrew Fairless, Ph.D.

What I Read: TrueSkill

By Andrew Fairless on June 9, 2025March 10, 2025

https://truetheta.io/concepts/machine-learning-and-other-topics/true-skill-part-1 TrueSkill Part 1: The AlgorithmDJ RichFebruary 18, 2025 “Who is the greatest boxer of all time?… Is it Muhammad Ali? Mike Tyson?… Because they never fought each other, youContinue readingWhat I Read: TrueSkill

What I Read: Gamma Hurdle

By Andrew Fairless on May 29, 2025February 22, 2025

The Gamma Hurdle Distribution The Gamma Hurdle DistributionJeff AllardFeb 7, 2025 “Modeling highly skewed continuous values in marketing experiments”

What I Read: transfer learning

By Andrew Fairless on April 21, 2025January 18, 2025

https://lunar-joke-35b.notion.site/Transfer-Learning-101-133ba4b6a3fa800e8cede11ee3f1c1cd Transfer Learning 101Himanshu DubeyNov 5, 2024 “Let’s understand Transfer Learning in greater detail.”

What I Read: Bayesian Mixed Models

By Andrew Fairless on March 26, 2025December 8, 2024

https://towardsdatascience.com/evaluating-bayesian-mixed-models-in-r-python-27d344a03016?gi=e23f7abbacbf Evaluating Bayesian Mixed Models in R/PythonEduardo Coronado SrokaJul 3, 2020 “…model checking and evaluation are just one of those things you can’t (and shouldn’t) avoid… Yet, I think inContinue readingWhat I Read: Bayesian Mixed Models

What I Read: Quiz, Bayesian

By Andrew Fairless on March 10, 2025November 17, 2024

https://towardsdatascience.com/how-to-tackle-the-weekend-quiz-like-a-bayesian-b5e035ba3746?gi=57434a5858ed How to Tackle the Weekend Quiz Like a BayesianJunta SekimoriOct 28, 2024 “What is malmsey: a mild hangover, a witch’s curse or a fortified wine? Assuming we have noContinue readingWhat I Read: Quiz, Bayesian

What I Read: degree certainty

By Andrew Fairless on February 24, 2025November 9, 2024

https://blog.alexalemi.com/a-degree-of-certainty.html A Degree of CertaintyAlexander A. Alemi2024-08-14 “None of the common ways to measure proabilities are statistically uniform. What do I mean by this? Not all 1% changes in probabilityContinue readingWhat I Read: degree certainty

What I Read: Contextual Bandit, LinUCB:

By Andrew Fairless on November 5, 2024August 15, 2024

https://truetheta.io/concepts/reinforcement-learning/lin-ucb A Reliable Contextual Bandit Algorithm: LinUCBDJ RichAugust 6, 2024 “A user visits a news website. Which articles should they be shown?”

What I Read: decision analysis, significance testing

By Andrew Fairless on October 3, 2024July 14, 2024

https://statmodeling.stat.columbia.edu/2024/07/10/a-misunderstanding-about-decision-analysis-and-significance-testing (Trying to) clear up a misunderstanding about decision analysis and significance testingAndrew Gelman7/10/24 9:03 AM “…we’re just saying that screening based on statistical significance has lots of problems. P-valuesContinue readingWhat I Read: decision analysis, significance testing

What I Read: KL All You Need

By Andrew Fairless on August 21, 2024June 4, 2024

https://blog.alexalemi.com/kl-is-all-you-need.html KL is All You NeedAlexander A. Alemi2024-01-08 “…the core of essentially all modern machine learning methods is a single universal objective: Kullback-Leibler (KL) divergence minimization…. Understand KL, understand theContinue readingWhat I Read: KL All You Need

What I Read: time series, Gaussian processes

By Andrew Fairless on July 18, 2024May 24, 2024

https://hendersontrent.github.io/posts/2024/05/gaussian-process-time-series Interpretable time-series modelling using Gaussian processesTrent HendersonMay 03, 2024 “…Gaussian processes (GP)… are an insanely powerful tool that can model an absurd range of data (including continuous and discrete)Continue readingWhat I Read: time series, Gaussian processes

Tag: Bayesian