Robust rank-based variable selection in double generalized linear models with diverging number of parameters under adaptive Lasso
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1607346
Abstract: ABSTRACT We propose a robust rank-based estimation and variable selection in double generalized linear models when the number of parameters diverges with the sample size. The consistency of the variable selection procedure and asymptotic properties… read more here.
Keywords: robust rank; rank based; selection; variable selection ... See more keywords
Optimal subsampling for double generalized linear models with heterogeneous massive data
Sign Up to like & getrecommendations! Published in 2025 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2025.2467199
Abstract: Abstract. With the development of information technology, massive data under heterogeneous characteristics are generated in the economic, financial, and other fields. Traditional statistical models and existing statistical methods are often inadequate for handling dispersion modeling… read more here.
Keywords: massive data; heterogeneous massive; double generalized; linear models ... See more keywords
On the Double-Generalized Gamma Statistics and Their Application to the Performance Analysis of V2V Communications
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DOI: 10.1109/tcomm.2017.2757466
Abstract: Important statistical properties of the double-generalized Gamma (dGG) distribution are studied in this paper. The dGG distribution is suitable for modeling non-homogeneous double-scattering radio propagation fading conditions, which can be frequently observed in vehicle-to-vehicle (V2V)… read more here.
Keywords: generalized gamma; v2v communications; performance; dgg distribution ... See more keywords