statistics – Page 8 – Andrew Fairless, Ph.D.

What I Read: Statistics, Geometry Problem

By Andrew Fairless on April 6, 2021March 22, 2021

https://www.quantamagazine.org/statistics-postdoc-tames-decades-old-geometry-problem-20210301/ Statistics Postdoc Tames Decades-Old Geometry ProblemTo the surprise of experts in the field, a postdoctoral statistician has solved one of the most important problems in high-dimensional convex geometry.Erica KlarreichMarchContinue readingWhat I Read: Statistics, Geometry Problem

What I Read: Causal design patterns

By Andrew Fairless on April 1, 2021March 15, 2021

https://emilyriederer.netlify.app/post/causal-design-patterns/ Causal design patterns for data analystsJan 30, 2021 “…it’s easy to do causal inference wrong. For example, attempting to control for the wrong variables can sometimes induce correlations andContinue readingWhat I Read: Causal design patterns

What I Read: Isolation Forest

By Andrew Fairless on February 16, 2021January 18, 2021

https://towardsdatascience.com/isolation-forest-is-the-best-anomaly-detection-algorithm-for-big-data-right-now-e1a18ec0f94f Isolation Forest is the best Anomaly Detection Algorithm for Big Data Right NowAndrew YoungNov 13 “Isolation forest or “iForest” is an astoundingly beautiful and elegantly simple algorithm that identifiesContinue readingWhat I Read: Isolation Forest

What I Read: Dynamic Data Testing

By Andrew Fairless on February 16, 2021January 18, 2021

https://medium.com/anomalo-hq/dynamic-data-testing-f831435dba90 Dynamic Data TestingJeremy StanleyNov 18 “Can’t we write down a clear set of rules that govern exactly how our data should behave, just like we do when testing software?Continue readingWhat I Read: Dynamic Data Testing

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

Tag: statistics