13 citations · 19 across the 4 of their papers we have counts for
4 papers
Optimality of the Half-Order Exponent in the Turing-Good Identities for Bayes Factors
Kensuke Okada
Bayes factors are widely computed by Monte Carlo, yet heavy-tailed sampling distributions can make numerical validation unreliable. The Turing--Good identities provide exact moment…
Variational Bayesian Inference for a Polytomous-Attribute Saturated Diagnostic Classification Model with Parallel Computing
Motonori Oka, Shun Saso, Kensuke Okada
As a statistical tool to assist formative assessments in educational settings, diagnostic classification models (DCMs) have been increasingly used to provide diagnostic information…
Scalable Bayesian Approach for the DINA Q-matrix Estimation Combining Stochastic Optimization and Variational Inference
Motonori Oka, Kensuke Okada
Diagnostic classification models (DCMs) offer statistical tools to inspect the fined-grained attribute of respondents' strengths and weaknesses. However, the diagnosis accuracy det…
Assessing the Performance of Diagnostic Classification Models in Small Sample Contexts with Different Estimation Methods
Motonori Oka, Kensuke Okada
Fueled by the call for formative assessments, diagnostic classification models (DCMs) have recently gained popularity in psychometrics. Despite their potential for providing diagno…