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Estimation of principal points for a multivariate binary distribution using a log-linear model |
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| Authors: | Haruka Yamashita Shun Matsuura Hideo Suzuki |
| Institution: | 1. Graduate School of Science and Technology, Keio University, Yokohama, Kanagawa, Japan;2. The Japan Society for the Promotion of Science, Hiyoshi, Kohoku-ku, Yokohama, Kanagawa, Japan;3. The Japan Society for the Promotion of Science, Hiyoshi, Kohoku-ku, Yokohama, Kanagawa, Japan;4. Faculty of Science and Technology, Keio University, Yokohama, Kanagawa, Japan |
| Abstract: | This article proposes a method for estimating principal points for a multivariate binary distribution, assuming a log-linear model for the distribution. Through numerical simulation studies, the proposed parametric estimation method using a log-linear model is compared with a nonparametric estimation method. |
| Keywords: | Log-linear model Maximum likelihood estimation Multinomial distribution Principal points |