35 citations · 113 across the 20 of their papers we have counts for
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stat.ML2016★ 32 cited
Sparse principal component regression for generalized linear models
Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada +1
Principal component regression (PCR) is a widely used two-stage procedure: principal component analysis (PCA), followed by regression in which the selected principal components are…
stat.ME2016★ 13 cited
Bayesian generalized fused lasso modeling via NEG distribution
Kaito Shimamura, Masao Ueki, Shuichi Kawano +1
The fused lasso penalizes a loss function by the norm for both the regression coefficients and their successive differences to encourage sparsity of both. In this paper, we p…