79 citations · 82 across the 6 of their papers we have counts for
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stat.ME2026
Multi-Resolution Analysis of Variable Selection for Road Safety in St. Louis and Its Neighboring Area
Debjoy Thakur, Soumendra N. Lahiri
Generally, Lasso, Adaptive Lasso, and SCAD are standard approaches in variable selection in the presence of a large number of predictors. In recent years, during intensity function…
stat.ME2022
Fitting Sparse Markov Models to Categorical Time Series Using Convex Clustering
Tuhin Majumder, Soumendra Lahiri, Donald Martin
Higher-order Markov chains are frequently used to model categorical time series. However, a major problem with fitting such models is the exponentially growing number of parameters…
stat.ME2017★ 3 cited
Perturbation Bootstrap in Adaptive Lasso
Debraj Das, Karl Gregory, S. N. Lahiri
The Adaptive Lasso(Alasso) was proposed by Zou [\textit{J. Amer. Statist. Assoc. \textbf{101} (2006) 1418-1429}] as a modification of the Lasso for the purpose of simultaneous vari…