Another very interesting day. The highlight of the morning was, in my opinion, David Ohlssen's talk. David is with Novartis US and has discussed a few issues related with subgroup analysis, pointing out the potential strengths of applying a Bayesian ap...
The first day of the conference was quite good, I thought. I was pleased with the audience's response to my talk and also the other talks were quite good. The level is even higher than last year. There are about 75 people attending (which is ...
Earlier today, I've arrived in Rotterdam for the Bayes Pharma conference. As I already said in a previous post, I think we have quite an exciting line up. In fact, I think that the finalised programme is packed with interesting talks!My first impressio...
Lee Sechrest sends along this article by Brian Haig and writes that it “presents what seems to me a useful perspective on much of what scientists/statisticians do and how science works, at least in the fields in which I work.” Here’s Haig’s abstract: A broad theory of scientific method is sketched that has particular relevance [...]The post Where do theories come from? appeared first on Statistical Modeling, Causal Inference, and…
David Kessler, Peter Hoff, and David Dunson write: Marginally specified priors for nonparametric Bayesian estimation Prior specification for nonparametric Bayesian inference involves the difficult task of quantifying prior knowledge about a parameter of high, often infinite, dimension. Realistically, a statistician is unlikely to have informed opinions about all aspects of such a parameter, but may [...]The post Reputations changeable, situations tolerable appeared first on Statistical Modeling, Causal Inference, and Social…
I think it’s part of my duty as a blogger to intersperse, along with the steady flow of jokes, rants, and literary criticism, some material that will actually be useful to you. So here goes. Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville Tolvanen, and Aki Vehtari write: The GPstuff toolbox is a versatile [...]The post GPstuff: Bayesian Modeling with Gaussian Processes appeared first on Statistical Modeling, Causal Inference,…
Guy Freeman writes: I thought you’d all like to know that Stan was used and referenced in a peer-reviewed Rapid Communications paper on influenza. Thank you for this excellent modelling language and sampler, which made it possible to carry out this work quickly! I haven’t actually read the paper, but I’m happy to see Stan [...]The post Stan! appeared first on Statistical Modeling, Causal Inference, and Social Science.
In an email I sent to a colleague who’s writing about lasso and Bayesian regression for R users: The one thing you might want to add, to fit with your pragmatic perspective, is to point out that these different methods are optimal under different assumptions about the data. However, these assumptions are never true (even [...]The post Same old same old appeared first on Statistical Modeling, Causal Inference, and Social…
Yesterday Gareth pointed me to this article on the BBC website. The underlying story has to do with Meredith Kercher's murder and the subsequent trial involving mainly her flat-mate Amanda Knox, in Perugia (Italy). As often in these grue...
Sam Behseta writes: There is a report by Martin Tingley and Peter Huybers in Nature on the unprecedented high temperatures at northern latitudes (Russia, Greenland, etc). What is more interesting is the authors are have used a straightforward hierarchical Bayes model, and for the first time (as far as I can remember) the results are [...]The post Plain old everyday Bayesianism! appeared first on Statistical Modeling, Causal Inference, and Social…
