2 papers
stat.ME2023
Fractional Polynomials Models as Special Cases of Bayesian Generalized Nonlinear Models
Aliaksandr Hubin, Georg Heinze, Riccardo De Bin
We propose a framework for fitting fractional polynomials models as special cases of Bayesian Generalized Nonlinear Models, applying an adapted version of the Genetically Modified…
physics.ed-ph2021
A Framework for Evaluating Statistical Models in Physics Education Research
John M. Aiken, Riccardo De Bin, H. J. Lewandowski +1
Across the field of education research there has been an increased focus on the development, critique, and evaluation of statistical methods and data usage due to recently created,…