13 citations · 38 across the 26 of their papers we have counts for
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math.PR2021
Limit theorems for linear random fields with innovations in the domain of attraction of a stable law
Magda Peligrad, Hailin Sang, Yimin Xiao +1
In this paper we study the convergence in distribution and the local limit theorem for the partial sums of linear random fields with i.i.d. innovations that have infinite second mo…
stat.ML2021★ 1 cited
A Statistician Teaches Deep Learning
G. Jogesh Babu, David Banks, Hyunsoon Cho +3
Deep learning (DL) has gained much attention and become increasingly popular in modern data science. Computer scientists led the way in developing deep learning techniques, so the…
math.ST2021
Variable bandwidth kernel regression estimation
Janet Nakarmi, Hailin Sang, Lin Ge
In this paper we propose a variable bandwidth kernel regression estimator for observations in to improve the classical Nadaraya-Watson estimator. The bias i…