3 papers
stat.ME2022
Precision education: A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment data
Tianyu Pan, Weining Shen, Clintin P. Davis-Stober +1
We propose a novel nonparametric Bayesian IRT model in this paper by introducing the clustering effect at question level and further assume heterogeneity at examinee level under ea…
stat.CO2018
Multinomial Models with Linear Inequality Constraints: Overview and Improvements of Computational Methods for Bayesian Inference
Daniel W. Heck, Clintin P. Davis-Stober
Many psychological theories can be operationalized as linear inequality constraints on the parameters of multinomial distributions (e.g., discrete choice analysis). These constrain…
math.OC2017
Extended Formulations for Order Polytopes through Network Flows
Clintin P. Davis-Stober, Jean-Paul Doignon, Samuel Fiorini +2
Mathematical psychology has a long tradition of modeling probabilistic choice via distribution-free random utility models and associated random preference models. For such models,…