The summer school website has been updated with the materials (lecture notes, exercises, and videos) for the Introductory frequentist and Bayesian streams. Details here: https://vasishth.github.io/smlp2020/  [Read more...]

Developing the right mindset for learning statistics: Some suggestions [Read more...]

Estimating the carbon cost of psycholinguistics conferencesShravan Vasishth 10/5/2019Note: If I have made some calculation error, please point it out and I will fix it. Suggestion At the University of Potsdam we are discussing how to reduce our carbon footprint in science-related work. One thought I had was that we ... [Read more...]

Several people wanted to have the slides from Betancourt's lectures at SMLP2018. It is possible to recreate most of the course from his writings:1. Intro to probability:https://betanalpha.github.io/assets/case_studies/probability_theory.html2. Workflow... [Read more...]

We wrote a short tutorial on contast coding, covering the common contrast coding scenarios, among them: treatment, helmert, anova, sum, and sliding (successive differences) contrasts.  The target audience is psychologists and linguists, but really it is for anyone doing planned experiments.   The paper has not been submitted anywhere yet. We ... [Read more...]

I just got back from attending this amazing conference in Paris:http://www.go-isop.org/stan-for-pharmacometrics---paris-franceA few people were disturbed/surprised by the fact that I am linguist ("what are you doing at an pharmacometrics conference?").... [Read more...]

[Thanks to Scott Glover for correcting me.] Someone recently said to me that the lower the p-value, the higher the likelihood ratio under the alternative vs the null. The arXiv paper by Michael Lew makes analogous points (thanks to Titus von der Malsb... [Read more...]

For some reason, I am unable to load this post to google blogger. I have linked the post to an html file on my home page. Please comment here on this blog. Here is the post: Posterior probability of the null hypothesis being true, given a significant... [Read more...]

I want to give a quick tutorial on fitting Linear Mixed Models (hierarchical models) with a full variance-covariance matrix for random effects (what Barr et al 2013 call a maximal model) using Stan. For a longer version of this tutorial, see: Sorensen, Hohenstein, Vasishth, 2016. Prerequisites: You need to have R and ... [Read more...]

Here are two papers that may be useful for researchers in psychology, linguistics, and cognitive science:Shravan Vasishth and Bruno Nicenboim. Statistical methods for linguistic research: Foundational Ideas - Part I. Language and Linguistics Compass, 2016. In Press. PDF: http://bit.ly/VasNicPart1Code: http://bit.ly/VasNicPart1CodeBruno Nicenboim and ... [Read more...]

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It's a pain to design statistics exercises each semester, and because students from previous share old exercises with the new incoming students, it's hard to design simple exercises that students haven't already seen the answers to. On top of that, som... [Read more...]

Here is my MSc thesis, which was submitted to the University of Sheffield in September 2015. The pdf is here.Title: A Meta-analysis of Relative Clause Processing in Mandarin Chinese using Bias Modelling AbstractThe reading difficulty associated wi... [Read more...]

I spent the last two weeks teaching frequentist and Bayesian statistics at the European Summer School in Logic, Language, and Information (ESSLLI) in Barcelona, at the beautiful and centrally located Pompeu Fabra University. The course web page for the first week is here, and the web page for the second ... [Read more...]

[This post was written between 2012 and 2015] Some background:I started using statistics for my research sometime in 1999 or 2000. I was a student at Ohio State, Linguistics, and I had just gotten interested in psycholinguistics. I knew almost nothing ... [Read more...]

Barr et al's well-intentioned paper is starting to lead to some seriously weird behavior in psycholinguistics! As a reviewer, I'm seeing submissions where people take the following approach:1. Try to fit a "maximal" linear mixed model.  If you get... [Read more...]

Recently, Barr et al published a paper in the Journal of Memory and Language, arguing that we should fit maximal linear mixed models, i.e., fit models that have a full variance-covariance matrix specification for subject and for items. I suggest here t... [Read more...]

Following a discussion on Gelman's blog, I was playing around with simulating scientists looking for significant effects. Suppose each of 1000 scientists run 200 experiments in their lifetime, and suppose that 20% of the experiments are such that the n... [Read more...]

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Here is a comparison of lmer vs Stan output on a mildly complicated dataset from a psychology expt. (Kliegl et al 2011). The data are here: https://www.dropbox.com/s/pwuz1g7rtwy17p1/KWDYZ_test.rda.The data and paper available from: http://openscience.u... [Read more...]