| A circular–circular regression model S Kato, K Shimizu, GS Shieh Statistica Sinica, 633-645, 2008 | 115 | 2008 |
| A family of distributions on the circle with links to, and applications arising from, Möbius transformation S Kato, MC Jones Journal of the American Statistical Association 105 (489), 249-262, 2010 | 97 | 2010 |
| An extended family of circular distributions related to wrapped Cauchy distributions via Brownian motion S Kato, MC Jones Bernoulli 19 (1), 154-171, 2013 | 63 | 2013 |
| A tractable and interpretable four-parameter family of unimodal distributions on the circle S Kato, MC Jones Biometrika 102 (1), 181-190, 2015 | 61 | 2015 |
| Entropy and divergence associated with power function and the statistical application S Eguchi, S Kato Entropy 12 (2), 262-274, 2010 | 54 | 2010 |
| A Möbius transformation-induced distribution on the torus S Kato, A Pewsey Biometrika 102 (2), 359-370, 2015 | 43 | 2015 |
| On a class of circulas: copulas for circular distributions MC Jones, A Pewsey, S Kato Annals of the Institute of Statistical Mathematics 67, 843-862, 2015 | 42 | 2015 |
| Dependent models for observations which include angular ones S Kato, K Shimizu Journal of Statistical Planning and Inference 138 (11), 3538-3549, 2008 | 40 | 2008 |
| A Markov process for circular data S Kato Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2010 | 39 | 2010 |
| Projective power entropy and maximum Tsallis entropy distributions S Eguchi, O Komori, S Kato Entropy 13 (10), 1746-1764, 2011 | 34 | 2011 |
| A distribution for a pair of unit vectors generated by Brownian motion S Kato Bernoulli 15 (3), 898-921, 2009 | 32 | 2009 |
| Robust estimation of location and concentration parameters for the von Mises–Fisher distribution S Kato, S Eguchi Statistical Papers 57, 205-234, 2016 | 26 | 2016 |
| Some properties of a Cauchy family on the sphere derived from the Möbius transformations S Kato, P McCullagh Bernoulli 26 (4), 3224-3248, 2020 | 21 | 2020 |
| Parametric bootstrap goodness-of-fit testing for Wehrly–Johnson bivariate circular distributions A Pewsey, S Kato Statistics and Computing 26, 1307-1317, 2016 | 16 | 2016 |
| Models for circular data from time series spectra M Taniguchi, S Kato, H Ogata, A Pewsey Journal of Time Series Analysis 41 (6), 808-829, 2020 | 13 | 2020 |
| A further study of t-distributions on spheres S Kato, K Shimizu Keio University. Department of Mathematics, 2004 | 11 | 2004 |
| The generalized t-distribution on the circle HY Siew, S Kato, K Shimizu Ouyou toukeigaku 37 (1), 1-16, 2008 | 10 | 2008 |
| A circular-linear dependence measure under Johnson–Wehrly distributions and its application in Bayesian networks I Leguey, P Larrañaga, C Bielza, S Kato Information Sciences 486, 240-253, 2019 | 8 | 2019 |
| Meta-analysis using flexible random-effects distribution models H Noma, K Nagashima, S Kato, S Teramukai, TA Furukawa Journal of Epidemiology 32 (10), 441-448, 2022 | 7 | 2022 |
| A random‐effects model for clustered circular data LP Rivest, S Kato Canadian Journal of Statistics 47 (4), 712-728, 2019 | 7 | 2019 |
