1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ME2025
Statistical Inference of the Matthews Correlation Coefficient for Multiclass Classification
Jun Tamura, Yuki Itaya, Kenichi Hayashi +1
Classification problems are essential statistical tasks that form the foundation of decision-making across various fields, including patient prognosis and treatment strategies for…
stat.ME2025
Robust Estimation of Item Parameters via Divergence Measures in Item Response Theory
Yuki Itaya, Kenichi Hayashi
Marginal maximum likelihood estimation (MMLE) in item response theory (IRT) is highly sensitive to aberrant responses, such as careless answering and random guessing, which can red…
stat.ME2024★ 1 cited
Asymptotic Properties of Matthews Correlation Coefficient
Yuki Itaya, Jun Tamura, Kenichi Hayashi +1
Evaluating classifications is crucial in statistics and machine learning, as it influences decision-making across various fields, such as patient prognosis and therapy in critical…