7 citations · 7 across the 2 of their papers we have counts for
3 papers
stat.ME2024
-means clustering for sparsely observed longitudinal data
Michio Yamamoto, Yoshikazu Terada
In longitudinal data analysis, observation points of repeated measurements over time often vary among subjects except in well-designed experimental studies. Additionally, measureme…
stat.ME2014
Model-based clustering of multivariate binary data with dimension reduction
Michio Yamamoto, Kenichi Hayashi
Clustering methods with dimension reduction have been receiving considerable wide interest in statistics lately and a lot of methods to simultaneously perform clustering and dimens…
stat.ME2012★ 7 cited
Sparse estimation via nonconcave penalized likelihood in a factor analysis model
Kei Hirose, Michio Yamamoto
We consider the problem of sparse estimation in a factor analysis model. A traditional estimation procedure in use is the following two-step approach: the model is estimated by max…