Posts Tagged ‘ statistics ’

another wrong entry

June 26, 2016
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another wrong entry

Quite a coincidence! I just came across another bug in Lynch’s (2007) book, Introduction to Applied Bayesian Statistics and Estimation for Social Scientists. Already discussed here and on X validated. While working with one participant to the post-ISBA softshop, we were looking for efficient approaches to simulating correlation matrices and came [by Google] across the […]

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Teaching sampling with dragon data cards

June 23, 2016
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Teaching sampling with dragon data cards

Data cards for teaching statistics Data cards are a wonderful way for students to get a feel for data. As a University lecturer in the 1990s, I found that students often didn’t understand about the multivariate nature of data. This … Continue reading →

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y-aware scaling in context

June 22, 2016
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Nina Zumel introduced y-aware scaling in her recent article Principal Components Regression, Pt. 2: Y-Aware Methods. I really encourage you to read the article and add the technique to your repertoire. The method combines well with other methods and can drive better predictive modeling results. From feedback I am not sure everybody noticed that in … Continue reading y-aware scaling in context

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Ce que la courbe ROC (et l’AUC) ne raconte pas

June 18, 2016
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Ce que la courbe ROC (et l’AUC) ne raconte pas

En préparant une intervention pour mardi prochain, j’épluchais les résultats renvoyés pour un exercice, et j’ai eu un résultat assez étrange avec un modèle de classification. J’avais donné la même base cet automne à l’ensae, et j’avais donc près d’une trentaine d’autres modèles, pour comparer (disons plutôt que sur la même base de test, j’ai une trentaine de prévisions). Les observations noires sont celles obtenues cet automne (le trait correspond aux…

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What doesn’t help readers (on the chart) and what does help (off the chart)

June 16, 2016
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What doesn’t help readers (on the chart) and what does help (off the chart)

Via Twitter, Bart S (@BartSchuijt) sent me to this TechCrunch article, which contains several uninspiring charts. The most disturbing one is this: There is a classic Tufte class here: only five numbers and yet the chart is so confusing. And...

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How to Cut Your Planks with R

June 12, 2016
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How to Cut Your Planks with R

Today I’m extraordinarily pleased because today I solved an actuall real world problem using R. Sure, I’ve solved many esoteric statistical problems with R, but I’m not sure if any of those solutions have escaped the digital world and made some...

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Why you should read Nina Zumel’s 3 part series on principal components analysis and regression

June 9, 2016
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Why you should read Nina Zumel’s 3 part series on principal components analysis and regression

Short form: Win-Vector LLC’s Dr. Nina Zumel has a three part series on Principal Components Regression that we think is well worth your time. Part 1: the proper preparation of data (including scaling) and use of principal components analysis (particularly for supervised learning or regression). Part 2: the introduction of y-aware scaling to direct the … Continue reading Why you should read Nina Zumel’s 3 part series on principal components…

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data challenge in Sardinia

June 9, 2016
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data challenge in Sardinia

In what I hope is the first occurrence of a new part of ISBA conferences, Booking.com is launching a data challenge at ISBA 2016 next week. The prize being a trip to take part in their monthly hackathon. In Amsterdam. It would be terrific if our Bayesian conferences, including BayesComp, could gather enough data and […]

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Free e-book: Exploring Data Science

June 8, 2016
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Free e-book: Exploring Data Science

We are pleased to announce a new free e-book from Manning Publications: Exploring Data Science. Exploring Data Science is a collection of five chapters hand picked by John Mount and Nina Zumel, introducing you to various areas in data science and explaining which methodologies work best for each. Exploring Data Science gives you a free … Continue reading Free e-book: Exploring Data Science

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the new version of abcrf

June 6, 2016
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the new version of abcrf

A new version of the R package abcrf has been posted on Friday by Jean-Michel Marin, in conjunction with the recent arXival of our paper on point estimation via ABC and random forests. The new R functions come to supplement the existing ones towards implementing ABC point estimation: covRegAbcrf, which predicts the posterior covariance between […]

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