At EMLAR 2022 I will teach two sessions that will introduce Bayesian methods. Here is the abstract for the two sessions:EMLAR 2022: An introduction to Bayesian data analysisTaught by Shravan Vasishth (vasishth.github.io)Session 1. 19 April 2022 (... [Read more...]

Generating data from a uniform distribution using R, without using the runif function Generating data from a uniform distribution using R, without using the runif functionShravan Vasishth12/19/2021 One can easily generate data from a uniform(0,1) using the runif function in R:

runif(10)

##  [1] 0.25873184 0.06723362 0.07725857 0.65281945 0.43817895 0.35372059<br>##  [7] 0.14399150 0.16840633 0.24538047 0.95230596

But what if one doesn’t have ... [Read more...]

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 Applications are now open for the sixth SMLP summer school, to be held in person (hopefully) in the Griebnitzsee campus of the University of Potsdam, Germany, 12-16 Sept 2022.Apply here: https://vasishth.github.io/smlp2022/ [Read more...]

A Common Mistake in Data Analysis (in Psychology/Linguistics): Subsetting data to carry out nested analyses (Part 2 of 2) A Common Mistake in Data Analysis (in Psychology/Linguistics): Subsetting data to carry out nested analyses (Part 2 of 2)Shravan Vasishth8/8/2021 tl;drSubsetting data to carry out pairwise comparisons within one level of ... [Read more...]

A Common Mistake in Data Analysis (in Psychology/Linguistics): Subsetting data to carry out nested analyses (Part 1 of 2) A Common Mistake in Data Analysis (in Psychology/Linguistics): Subsetting data to carry out nested analyses (Part 1 of 2)Shravan Vasishth8/8/2021 tl;drIf you subset the data to analyze effects within one level ... [Read more...]

 Workflow Techniques for the Robust Use of Bayes FactorsDownload from: https://arxiv.org/abs/2103.08744 Daniel J. Schad, Bruno Nicenboim, Paul-Christian Bürkner, Michael Betancourt, Shravan Vasishth ... [Read more...]

 Workflow Techniques for the Robust Use of Bayes FactorsDownload from: https://arxiv.org/abs/2103.08744 Daniel J. Schad, Bruno Nicenboim, Paul-Christian Bürkner, Michael Betancourt, Shravan Vasishth ... [Read more...]

Bayesian statistics Taught by Shravan Vasishth (vasishth.github.io) When: Sometime between 13 and 15 April 2021 Where: https://emlar.wp.hum.uu.nl/tutorial/bayesian-statistics/ Bayesian methods are increasingly becoming mainstream in psychology and ps... [Read more...]

The annual summer school, now in its fifth edition, will happen 6-10 Sept 2021, and will be conducted virtually over zoom. The summer school is free and is funded by the DFG through SFB 1287. Instructors: Doug Bates, Reinhold Kliegl, Phillip Alday, Br... [Read more...]

 There was an interesting thread on twitter about linear mixed models (LMMs) that someone made me aware of recently. (I stopped following twitter because of its general inanity, but this thread is worth commenting on.) The gist of the complaints (trying to recreate this list from memory) were. My list ... [Read more...]

 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...]