Does racquetball save lives?

October 12, 2017
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Asher Meir points to this news report and writes: 8e5 people in study, about half reported exercising, about half not. About 10% died overall. So overall death rate difference of 28% is pretty remarkable. It means about 3500 deaths instead of 4500 for a similar sample size. But when you compare the rate of heart […] The post Does racquetball save lives? appeared first on Statistical Modeling, Causal Inference, and…

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Halifax, NS, Stan talk and course Thu 19 Oct

October 12, 2017
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Halfiax, here we come. I (Bob, not Andrew) am going to be giving a talk on Stan and then Mitzi and I will be teaching a course on Stan after that. The public is invited, though space is limited for the course. Here are details if you happen to be in the Maritime provinces. TALK: […] The post Halifax, NS, Stan talk and course Thu 19 Oct appeared first on…

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IEEE VIS 2017: Perception, Evaluation, Vision Science

October 12, 2017
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IEEE VIS 2017: Perception, Evaluation, Vision Science

Questions of how visualization is read and understood are a common topic in research, and this year was no exception. This part of my IEEE VIS 2017 report covers papers dealing with perceptual issues, the match between visualization and tasks, statistical reasoning, as well as a panel on vision science. Perception Data Visualization Saliency Model: […]

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Workshop on Interpretable Machine Learning

October 11, 2017
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Andrew Gordon Wilson sends along this conference announcement: NIPS 2017 Symposium Interpretable Machine Learning Long Beach, California, USA December 7, 2017 Call for Papers: We invite researchers to submit their recent work on interpretable machine learning from a wide range of approaches, including (1) methods that are designed to be more interpretable from the start, […] The post Workshop on Interpretable Machine Learning appeared first on Statistical Modeling, Causal Inference,…

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Partial pooling with informative priors on the hierarchical variance parameters: The next frontier in multilevel modeling

October 11, 2017
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Ed Vul writes: In the course of tinkering with someone else’s hairy dataset with a great many candidate explanatory variables (some of which are largely orthogonal factors, but the ones of most interest are competing “binning” schemes of the same latent elements). I wondered about the following “model selection” strategy, which you may have alluded […] The post Partial pooling with informative priors on the hierarchical variance parameters: The next…

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Simulate correlations by using the Wishart distribution

October 11, 2017
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Simulate correlations by using the Wishart distribution

The article "Fisher's transformation of the correlation coefficient" featured a Monte Carlo simulation that generated sample correlations from bivariate normal data. The simulation used three steps: Simulate B samples of size N from a bivariate normal distribution with correlation ρ. Use PROC CORR to compute the sample correlation matrix for [...] The post Simulate correlations by using the Wishart distribution appeared first on The DO Loop.

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IEEE VIS 2017: Word Clouds, Stories, Interaction

October 11, 2017
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IEEE VIS 2017: Word Clouds, Stories, Interaction

I usually stick to the InfoVis track at VIS, and that was also the case this time. The papers in this part of my report from VIS 2017 cover text, small visualizations like sparklines and glyphs, tools for showing story structure, and multi-device interaction with data. Word Clouds Tag or word clouds are second only […]

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Splines in Stan; Spatial Models in Stan !

October 10, 2017
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Splines in Stan; Spatial Models in Stan !

Two case studies: Splines in Stan, by Milad Kharratzadeh. Spatial Models in Stan: Intrinsic Auto-Regressive Models for Areal Data, by Mitzi Morris. This is great. Thanks, Mitzi! Thanks, Milad! The post Splines in Stan; Spatial Models in Stan ! appea...

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November Reading

October 10, 2017
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November Reading

ftp://ftp.econ.au.dk/creates/rp/17/rp17_32.pdfhttp://www.tandfonline.com/doi/full/10.1080/03610926.2016.1260738http://www.tandfonline.com/doi/full/10.1080/03610926.2017.1359296© 2017, David E. Giles

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Please contribute to this list of the top 10 do’s and don’ts for doing better science

October 10, 2017
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Demis Glasford does research in social psychology and asks: I was wondering if you had ever considered publishing a top ten ‘do’s/don’ts’ for those of us that are committed to doing better science, but don’t necessarily have the time to devote to all of these issues [of statistics and research methods]. Obviously, there is a […] The post Please contribute to this list of the top 10 do’s and don’ts…

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Let’s not mix these polarized voters as the medians run away from one another

October 10, 2017
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Let’s not mix these polarized voters as the medians run away from one another

Long-time follower Daniel L. sent in a gem, by the Washington Post. This is a multi-part story about the polarization of American voters, nicely laid out, with superior analyses and some interesting graphics. Click here to see the entire article....

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IEEE VIS 2017: Keynote and Capstone

October 10, 2017
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IEEE VIS 2017: Keynote and Capstone

Part 2 of my IEEE VIS 2017 report covers the keynote and capstone talks at the conference. They were not just at opposite ends of the conference, but also about as different as they can be in terms of content and delivery. Keynote: Jacqueline H. Chen, Analytics Inspired Visualization: A Holistic In-situ Scientific Workflow at […]

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Thanks, Karl, for Cross-referencing on Github!

Thanks, Karl, for Cross-referencing on Github!

Today is my second day of triaging Github issues of the rmarkdown repo. I just came across rstudio/rmarkdown#980, an issue that is almost 8 months old. I didn’t immediately start working on it, but took a look at the cross-references first. Then I saw Karl Broman cross-referenced this issue from ramnathv/htmlwidgets#265, so I clicked the link and went over there. Problem solved. I didn’t need to do anything, and happily…

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Analysts must reckon with the fake data menace

October 9, 2017
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Kaiser Fung, founder of Principal Analytics Prep, comments on the fake data and fraud problem in digital advertising, and calls on data scientists and analysts to rise up to the challenge.

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Tenure-Track or Tenured Prof. in Machine Learning in Aalto, Finland

October 9, 2017
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This job advertisement for a position in Aalto, Finland, is by Aki We are looking for a professor to either further strengthen our strong research fields, with keywords including statistical machine learning, probabilistic modelling, Bayesian inference, kernel methods, computational statistics, or complementing them with deep learning. Collaboration with other fields is welcome, with local opportunities […] The post Tenure-Track or Tenured Prof. in Machine Learning in Aalto, Finland appeared first…

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[summer Astrostat school] room with a view [jatp]

October 9, 2017
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[summer Astrostat school] room with a view [jatp]

I just arrived in Autrans, on the Plateau du Vercors overlooking Grenoble and the view is fabulistic! Trees have started to turn red and yellow, the weather is very mild, and my duties are restricted to teaching ABC to a group of enthusiastic astronomers and cosmologists..! Second advanced course on ABC in the mountains this […]

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The house is stronger than the foundations

October 9, 2017
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Oliver Maclaren writes: Regarding the whole ‘double use of data’ issue with posterior predictive checks [see here and, for a longer discussion, here], I just wanted to note that David Cox describes the ‘Fisherian reduction’ as (I’ve summarised slightly; see p. 24 of ‘Principles of Statistical Inference) – Find the likelihood function – Reduce to […] The post The house is stronger than the foundations appeared first on Statistical Modeling,…

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Order correlations by magnitude

October 9, 2017
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Order correlations by magnitude

Correlations between variables are typically displayed in a matrix. Because the correlation matrix is determined by the order of the variables, it is difficult to find the largest and smallest correlations, which is why analysts sometimes use colors to visualize the correlation matrix. Another visualization option is the pairwise correlation [...] The post Order correlations by magnitude appeared first on The DO Loop.

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Summer school in Leuven

October 9, 2017
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Summer school in Leuven

Emmanuel has organised earlier this year the first edition of the Summer School on Advanced Bayesian Methods, in the beautiful Belgian town of Leuven (which is also where we had our Bayes conference a couple of years ago).For next year, they have ...

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Summer school in Leuven

October 9, 2017
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Summer school in Leuven

Emmanuel has organised earlier this year the first edition of the Summer School on Advanced Bayesian Methods, in the beautiful Belgian town of Leuven (which is also where we had our Bayes conference a couple of years ago).For next year, they have ...

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Rich maths with Dragons

October 9, 2017
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Rich maths with Dragons

Thanks to the Unlocking Curious Minds fund, StatsLC have been enabled to visit thirty rural schools in Canterbury and the West Coast and provide a two-hour maths event to help the children to see themselves as mathematicians. The groups include … Continue reading →

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IEEE VIS 2017: Best Papers and Other Awards

October 9, 2017
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IEEE VIS 2017: Best Papers and Other Awards

The IEEE VIS 2017 conference took place last week in Phoenix, AZ. I’m slower to write about it than in previous years, but to make up for that I’m not going in chronological order this time, but will break this report up in a more logical manner. This first part covers the opening, which included […]

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Thanks, Jean-Olivier Irisson, for Mentioning Cross-posting!

Many people cross-post the same questions in different places: private emails, StackOverflow, Disqus threads, Twitter, and mailing lists, etc. It is totally fine to cross-post questions. You may be eager to obtain an answer, which is understandable. What is bad, however, is that you do not mention that you cross-posted the question in other places. This has happened several times in the past to me: after I try hard to…

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