[unable to retrieve full-text content]While KDnuggets takes no side, we present the informative and respectful back and forth as we believe it has value for our readers. We hope that you agree.
Original Post: Statistics, Causality, and What Claims are Difficult to Swallow: Judea Pearl debates Kevin Gray
[unable to retrieve full-text content]For Carlos Carcach, Professor & Director, Center for Public Policy at the Escuela Superior de Economía y Negocios (ESEN) in Santa Tecla, El Salvador, gangs are an object of intellectual curiosity and the subject of his research.
Original Post: The Statistics of Gang Violence
[unable to retrieve full-text content]Looking ahead to the FIFA World Cup that kicks off this month (14th June), we have created the official KDnuggets predictions.
Original Post: Football World Cup 2018 Predictions: Germany vs Brazil in the final, and more
[unable to retrieve full-text content]Frequentist methods are sometimes described as “classical”, though most have only appeared in recent decades and new ones are under development as you read this. Whatever we call it, this branch of statistics is very much alive.
Original Post: Frequentists Fight Back
[unable to retrieve full-text content]Seeking qualified Ph.D. students or faculty members for the position of Tutor/Instructor to provide one-on-one lectures to the needs of our students in Applied Analytics, Computer Science, Applied Math and Statistics, and more.
Original Post: 24houranswers: Analytics / Data Science / Math / Statistics Tutors
[unable to retrieve full-text content]Kurtosis and Skewness are very close relatives of the “data normalized statistical moment” family – Kurtosis being the fourth and Skewness the third moment, and yet they are often used to detect very different phenomena in data. At the same time, it is typically recommendable to analyse the outputs of both together to gather more insight and understand the nature of the data better.
Original Post: Skewness vs Kurtosis – The Robust Duo
[unable to retrieve full-text content]Propensity scores are an alternative method to estimate the effect of receiving treatment when random assignment of treatments to subjects is not feasible.
Original Post: Propensity Score Matching in R
[unable to retrieve full-text content]Darrell Huff’s classic How to Lie with Statistics is perhaps more relevant than ever. In this short article, I revisit this theme from some different angles.
Original Post: How Not To Lie With Statistics
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Original Post: The Trouble with Bias, by Kate Crawford
[unable to retrieve full-text content]This post mentions some of the advantages of implementing robust, non-parametric methods into our Machine Learning frameworks and models.
Original Post: Robust Algorithms for Machine Learning