Jian Hong

发表

Generalization error minimization: a new approach to model evaluation and selection with an application to penalized regression

Timothy C. G. Fisher, N. Xu, Jian Hong, 2016, 1610.05448.

Finite-sample and asymptotic analysis of generalization ability with an application to penalized regression pdf

Ning Xu, Jian Hong, Timothy C. G. Fisher, 2016, ArXiv.

Model selection consistency from the perspective of generalization ability and VC theory with an application to Lasso

Ning Xu, Timothy C. G. Fisher, Jian Hong, 2016, 1606.00142.

Instrument variable detection with graph learning : an application to high dimensional GIS-census data for house pricing

Ning Xu, Timothy C. G. Fisher, Timothy C.G. Fisher, 2020 .

Ultrahigh dimensional instrument detection using graph learning: an application to high dimensional GIS-census data for house pricing pdf

Ning Xu, Timothy C. G. Fisher, Timothy C.G. Fisher, 2020, ArXiv.

$\left( \beta, \varpi \right)$-stability for cross-validation and the choice of the number of folds

Ning Xu, Timothy C. G. Fisher, Jian Hong, 2017, 1705.07349.

Rademacher upper bounds for cross-validation errors with an application to the lasso pdf

Ning Xu, Timothy C. G. Fisher, Timothy C.G. Fisher, 2020, ArXiv.

Solar: a least-angle regression for accurate and stable variable selection in high-dimensional data pdf

Ning Xu, Timothy C. G. Fisher, Timothy C.G. Fisher, 2020, ArXiv.