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stat.ME2026
Oracle high-dimensional -estimation using smooth reparameterization for sparsity
Yoichi Nishiyama
This paper establishes a unified non-linear regularization framework for high-dimensional -estimation, encompassing both linear regression and Cox's proportional hazards models.…
math.PR2026
From -domination maximal inequalities to infinite-dimensional martingales, towards high-dimensional statistics
Yoichi Nishiyama
A novel approach is proposed to establish a sharp upper bound on the expected supremum of a separable martingale random field, serving as an alternative to classical universal chai…