1 citations · 3 across the 3 of their papers we have counts for
4 papers
Hierarchical clustered multiclass discriminant analysis via cross-validation
Kei Hirose, Kanta Miura, Atori Koie
Linear discriminant analysis (LDA) is a well-known method for multiclass classification and dimensionality reduction. However, in general, ordinary LDA does not achieve high predic…
Interpretable modeling for short- and medium-term electricity load forecasting
Kei Hirose
We consider the problem of short- and medium-term electricity load forecasting by using past loads and daily weather forecast information. Conventionally, many researchers have dir…
Robust relative error estimation
Kei Hirose, Hiroki Masuda
Relative error estimation has been recently used in regression analysis. A crucial issue of the existing relative error estimation procedures is that they are sensitive to outliers…
Estimation of oblique structure via penalized likelihood factor analysis
Kei Hirose, Michio Yamamoto
We consider the problem of sparse estimation via a lasso-type penalized likelihood procedure in a factor analysis model. Typically, the model estimation is done under the assumptio…