55 citations · 266 across the 33 of their papers we have counts for
7 papers · 1 filter
Bayesian Rank-Based Hypothesis Testing for the Rank Sum Test, the Signed Rank Test, and Spearman's
Johnny van Doorn, Alexander Ly, Maarten Marsman +1
Bayesian inference for rank-order problems is frustrated by the absence of an explicit likelihood function. This hurdle can be overcome by assuming a latent normal representation t…
bridgesampling: An R Package for Estimating Normalizing Constants
Quentin F. Gronau, Henrik Singmann, Eric-Jan Wagenmakers
Statistical procedures such as Bayes factor model selection and Bayesian model averaging require the computation of normalizing constants (e.g., marginal likelihoods). These normal…
A Tutorial on Fisher Information
Alexander Ly, Maarten Marsman, Josine Verhagen +2
In many statistical applications that concern mathematical psychologists, the concept of Fisher information plays an important role. In this tutorial we clarify the concept of Fish…
Informed Bayesian T-Tests
Quentin F. Gronau, Alexander Ly, Eric-Jan Wagenmakers
Across the empirical sciences, few statistical procedures rival the popularity of the frequentist t-test. In contrast, the Bayesian versions of the t-test have languished in obscur…
Quantifying Uncertainty in Transdimensional Markov Chain Monte Carlo Using Discrete Markov Models
Daniel W. Heck, Antony M. Overstall, Quentin F. Gronau +1
Bayesian analysis often concerns an evaluation of models with different dimensionality as is necessary in, for example, model selection or mixture models. To facilitate this evalua…
A Tutorial on Bridge Sampling
Quentin F. Gronau, Alexandra Sarafoglou, Dora Matzke +7
The marginal likelihood plays an important role in many areas of Bayesian statistics such as parameter estimation, model comparison, and model averaging. In most applications, howe…