statistics – Page 10 – Andrew Fairless, Ph.D.

What I Read: Structural Time Series

By Andrew Fairless on February 11, 2021January 13, 2021

https://structural-time-series.fastforwardlabs.com/Structural Time SeriesFF16 · October 2020 “We will describe a family of models—Generalized Additive Models, or GAMs—which have the advantage of being scalable and easy to interpret, and tend toContinue readingWhat I Read: Structural Time Series

What I Read: Think Like an Epidemiologist

By Andrew Fairless on January 16, 2021December 24, 2020

https://www.nytimes.com/2020/08/04/science/coronavirus-bayes-statistics-math.html How to Think Like an EpidemiologistDon’t worry, a little Bayesian analysis won’t hurt you.By Siobhan RobertsAug. 4, 2020Updated 4:57 p.m. ET “Observing early research in March about how theContinue readingWhat I Read: Think Like an Epidemiologist

What I Read: R squared Does Not Measure Predictive Capacity

By Andrew Fairless on January 14, 2021December 23, 2020

https://www.kdnuggets.com/2020/07/r-squared-predictive-capacity-statistical-adequacy.html R squared Does Not Measure Predictive Capacity or Statistical AdequacyThe fact that R-squared shouldn’t be used for deciding if you have an adequate model is counter-intuitive and is rarelyContinue readingWhat I Read: R squared Does Not Measure Predictive Capacity

What I Read: A winner’s curse adjustment

By Andrew Fairless on January 10, 2021December 23, 2020

http://www.erikdrysdale.com/winners_curse/ Erik DrysdalebioeconometRicianAbout Recent Posts ShinyApps CVA winner’s curse adjustment for a single test statistic “One consequence of using frequentist statistical tools to conduct scientific inference is that effect sizesContinue readingWhat I Read: A winner’s curse adjustment

What I Read: data distributions

By Andrew Fairless on January 1, 2021December 22, 2020

https://www.kdnuggets.com/2020/06/overview-data-distributions.html Overview of data distributionsTags: Binomial, Distribution, Normal Distribution, Poisson Distribution, Probability, StatisticsBy Madalina Ciortan, Data scientist, PhD researcher in bioinformatics at ULB “With so many types of data distributionsContinue readingWhat I Read: data distributions

What I Read: Fundamental Theorem for Epidemiology

By Andrew Fairless on December 29, 2020December 20, 2020

https://www.datasciencecentral.com/profiles/blogs/a-fundamental-theorem-for-epidemiology A Fundamental Theorem for EpidemiologyPosted by Peter Cotton on May 28, 2020 at 5:30am “This approach is represented in the picture above. The important thing to note is thatContinue readingWhat I Read: Fundamental Theorem for Epidemiology

What I Read: regularization of linear models

By Andrew Fairless on December 24, 2020December 13, 2020

https://explained.ai/regularization/index.html A visual explanation for regularization of linear modelsTerence Parr “What’s lacking is a simple and intuitive explanation for what exactly is going on during regularization. The goal of thisContinue readingWhat I Read: regularization of linear models

Tag: statistics