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As put by Gelman et al. (2013, page 148): ‘because a probability model can fail to reflect the process that generated the data in any number of ways, posterior predictive p-values can be computed for a variety of test quantities in order to evaluate more than one possible model failure’.

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What is the difference between the errors and the residuals ? What does it mean for a model to predict something ? What is a link function ? In the current post, we use four R functions (viz., the predict, fitted, residuals and simulate functions) to illustrate the mechanisms and assumptions of the general linear model.

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This post is a “blog version” of the vignette of my first R package, which is itself greatly inspired from the first post of this blog.

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In the current post, we present and compare three methods of obtaning an estimation of the ICC in multilevel logistic regression models.

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I have strong doubts that someone reading a blog called barely significant in this troubled period might have escaped the saga of the summer. However, as this story relates closely to the name of this blog and to the motivations behind its creation, I could not help myself to write a summary of this saga (or of its beginning, at least), to inform any unfortunate people that might have missed it.

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Selected Publications

Rumination is predominantly experienced in the form of repetitive verbal thoughts. Verbal rumination is a particular case of inner speech. According to the Motor Simulation view, inner speech is a kind of motor action, recruiting the speech motor system. In this framework, we predicted an increase in speech muscle activity during rumination as compared to rest. We also predicted increased forehead activity, associated with anxiety during rumination. We measured electromyographic activity over the orbicularis oris superior and inferior, frontalis and flexor carpi radialis muscles. Results showed increased lip and forehead activity after rumination induction compared to an initial relaxed state, together with increased self-reported levels of rumination. Moreover, our data suggest that orofacial relaxation is more effective in reducing rumination than non-orofacial relaxation. Altogether, these results support the hypothesis that verbal rumination involves the speech motor system, and provide a promising psychophysiological index to assess the presence of verbal rumination.
Biological Psychology, 2017.

Teaching

I teach the following courses at Univ. Grenoble Alpes:

  • BA Psychology: Data analysis
  • BA Psychology: Introduction to Cognitive psychology
  • BA Psychology: Cognitive psychology: perception, action and categorization
  • PhD, all disciplines: Introduction to Bayesian statistical modeling

Online ressources

Multilevel modeling

Courses on Bayesian data analysis

  • Justin Esarey’s enlightening lectures on Bayesian statistics (amongst other things), and the Learn Bayes website.

  • Statistical rethinking lectures by Richard McElreath on youtube and associated contents.

  • Bayesian data analysis and cognitive modeling by Michael Franke & Fabian Dablander (slides).

  • Bayesian Basics, wonderful introduction by Michael Clark here.

Blogs worth reading