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stat.ME2025
Divergence-based Robust Generalised Bayesian Inference for Directional Data via von Mises-Fisher models
Tomoyuki Nakagawa, Yasuhito Tsuruta, Sho Kazari +1
This paper focusses on robust estimation of location and concentration parameters of the von Mises-Fisher distribution in the Bayesian framework. The von Mises-Fisher (or Langevin)…
stat.ME2024
A measure of departure from symmetry via the Fisher-Rao distance for contingency tables
Wataru Urasaki, Go Kawamitsu, Tomoyuki Nakagawa +1
A measure of asymmetry is a quantification method that allows for the comparison of categorical evaluations before and after treatment effects or among different target populations…
stat.ME2024
Visualization for departures from symmetry with the power-divergence-type measure in two-way contingency tables
Wataru Urasaki, Tomoyuki Nakagawa, Jun Tsuchida +1
When the row and column variables consist of the same category in a two-way contingency table, it is specifically called a square contingency table. Since it is clear that the squa…