2 citations · 3 across the 9 of their papers we have counts for
8 papers · 1 filter
Robust estimation via -divergence for diffusion processes
Tomoyuki Nakagawa, Yusuke Shimizu
This paper deals with the problem of outliers in high frequency observation data from diffusion processes. Robust estimation methods are needed because the inclusion of outliers ca…
Geometric Mean Type of Proportional Reduction in Variation Measure for Two-Way Contingency Tables
Wataru Urasaki, Yuki Wada, Tomoyuki Nakagawa +2
In a two-way contingency table analysis with explanatory and response variables, the analyst is interested in the independence of the two variables. However, if the test of indepen…
Robustness of Bayesian ordinal response model against outliers via divergence approach
Tomotaka Momozaki, Tomoyuki Nakagawa
Ordinal response model is a popular and commonly used regression for ordered categorical data in a wide range of fields such as medicine and social sciences. However, it is empiric…
Robustness against outliers in ordinal response model via divergence approach
Tomotaka Momozaki, Tomoyuki Nakagawa
This study deals with the problem of outliers in ordinal response model, which is a regression on ordered categorical data as the response variable. ``Outlier" means that the combi…
Generalized Cramér's coefficient via -divergence for contingency tables
Wataru Urasaki, Tomoyuki Nakagawa, Tomotaka Momozaki +1
Various measures in two-way contingency table analysis have been proposed to express the strength of association between row and column variables in contingency tables. Tomizawa et…
Dynamic Spatio-temporal Zero-inflated Poisson Models for Predicting Capelin Distribution in the Barents Sea
Shonosuke Sugasawa, Tomoyuki Nakagawa, Hiroko Kato Solvang +2
We consider modeling and prediction of Capelin distribution in the Barents sea based on zero-inflated count observation data that vary continuously over a specified survey region.…
Improving the accuracy of estimating indexes in contingency tables using Bayesian estimators
Tomotaka Momozaki, Koji Cho, Tomoyuki Nakagawa +1
In contingency table analysis, one is interested in testing whether a model of interest (e.g., the independent or symmetry model) holds using goodness-of-fit tests. When the null h…
On default priors for robust Bayesian estimation with divergences
Tomoyuki Nakagawa, Shintaro Hashimoto
This paper presents objective priors for robust Bayesian estimation against outliers based on divergences. The minimum -divergence estimator is well-known to work well estimatio…