16 citations · 25 across the 3 of their papers we have counts for
3 papers
eess.SP2022
Model Selection in High-Dimensional Block-Sparse Linear Regression
Prakash B. Gohain, Magnus Jansson
Model selection is an indispensable part of data analysis dealing very frequently with fitting and prediction purposes. In this paper, we tackle the problem of model selection in a…
eess.SP2022★ 16 cited
Robust Information Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models
Prakash B. Gohain, Magnus Jansson
Model selection in linear regression models is a major challenge when dealing with high-dimensional data where the number of available measurements (sample size) is much smaller th…
stat.OT2017★ 9 cited
PUMA criterion = MODE criterion
Dave Zachariah, Petre Stoica, Magnus Jansson
We show that the recently proposed (enhanced) PUMA estimator for array processing minimizes the same criterion function as the well-established MODE estimator. (PUMA = principal-si…