Statistics

Statistics Blogs

Bayes on Jupyter

April 27, 2016
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Bayes on Jupyter

I am working on an updated version of my workshop, Bayesian Statistics Made Simple, now using Jupyter notebooks (formerly known as IPython). It's still a work in progress, but you can see a draft of my slides here:  If you want to run the code, ...

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Estimer une Proportion sur une Question Sensible, par Enquête

April 26, 2016
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Estimer une Proportion sur une Question Sensible, par Enquête

Comme le rapportait Slate hier (dans un article qui, malheureusement ne mérite pas d’être lu), un joli sujet a été proposé au baccalauréat au lycée français de Pondichéry, en mathématiques. Ce sujet est d’autant plus intéressant qu’il revient sur une méthode assez classique pour questionner les gens sur des questions sensibles (ici sur le téléchargement pirate, mais on peut poser la même question sur la fraude, ou des pratiques sexuelles). Comme le…

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On Nested Models

April 26, 2016
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On Nested Models

We have been recently working on and presenting on nested modeling issues. These are situations where the output of one trained machine learning model is part of the input of a later model or procedure. I am now of the opinion that correct treatment of nested models is one of the biggest opportunities for improvement … Continue reading On Nested Models

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Talk on Causality with Non-Gaussian Time Series, at Paris 7 Diderot

April 26, 2016
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Talk on Causality with Non-Gaussian Time Series, at Paris 7 Diderot

This Monday, I will be giving a talk at Paris 7, room 1016 of the Sophie Germain building, on causality with non-Gaussian time series. Slides are now online.

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The Distribution of Global Economic Activity…

April 24, 2016
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The Distribution of Global Economic Activity…

... as proxied by the global distribution of nighttime lights (from a fascinating new paper by Hendersen et al.).  Like many good graphics, this one repays careful study.  You'll see lots of places where the lights match your prior, but you'l...

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Principal curves example (Elements of Statistical Learning)

April 21, 2016
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Principal curves example (Elements of Statistical Learning)

The bit of R code below illustrates the principal curves methods as described in The Elements of Statistical Learning, by Hastie, Tibshirani, and Friedman (Ch. 14; the book is freely available from the authors' website). Specifically, the code generates some bivariate data that have a nonlinear association, initializes the principal curve using the first (linear) principal … Continue reading Principal curves example (Elements of Statistical Learning) →

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Workshop on Infectious Disease Modelling in Public Health Policy: Current status and challenges (again)

April 21, 2016
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We've had a fantastic response to the workshop. In just a few days of public advertisement (I firstly posted about it and then advertised on allstat and HEALTHECON-ALL) we got 65 registration, as of today. We have provisionally set out 100 "t...

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Books to Read While the Algae Grow in Your Fur, March 2016

April 20, 2016
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Attention conservation notice: I have no taste. Guido W. Imbens and Donald B. Rubin, Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction While I found less to disagree with about the over-all approach than I anticipated...

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"Network Comparisons Using Sample Splitting"

April 20, 2016
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Lawrence Wang, Network Comparisons Using Sample Splitting Abstract: Many scientific questions about networks are actually network comparison problems: Could two networks have reasonably come from a common source? Are there specific differences? We ...

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Course Announcements: Statistical Network Models, Fall 2016

April 20, 2016
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Attention conservation notice: Self-promotion, and irrelevant unless you (1) will be a student at Carnegie Mellon in the fall, or (2) have a morbid curiosity about a field in which the realities of social life are first caricatured into an impoverishe...

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