Sparse least trimmed squares regression. [PDF]
Sparse model estimation is a topic of high importance in modern data analysis due to the increasing availability of data sets with a large number of variables. Another common problem in applied statistics is the presence of outliers in the data.
Croux, Christophe +2 more
core
Early stages of tooth development in the harbor porpoise Phocoena phocoena
Abstract Here we describe the stages of tooth development in toothed whales on the basis of the harbor porpoise (Phocoena phocoena). The aim of the study was to find out whether these stages are identical to those of other mammals analyzed so far although toothed whales are homodont and monophyodont.
Lasse M. Mathes +2 more
wiley +1 more source
The Application of Kernel Ridge Regression for the Improvement of a Sensing Interferometric System. [PDF]
Guzman-Chavez AD, Vargas-Rodriguez E.
europepmc +1 more source
Clade‐wide morphological and functional variation of the sauropsid columella
Abstract The columella (=stapes) is the middle ear bone of reptiles that transmits vibrations from the environment to the inner ear. It has been shown to exhibit extensive interspecific morphological disparity in several clades; however, its morphological variation and associated functional consequences remain poorly described.
John Peacock +4 more
wiley +1 more source
Integrating gene expression data via weighted multiple kernel ridge regression improved accuracy of genomic prediction. [PDF]
Wang X +5 more
europepmc +1 more source
Comment: Feature Screening and Variable Selection via Iterative Ridge Regression. [PDF]
Fan J, Li R.
europepmc +1 more source
Abstract Fishes of the genus Enchodus were abundant and cosmopolitan in the Late Cretaceous, but are primarily known from isolated remains in Canada. Four well‐preserved fish skulls were recovered in recent years from ammolite mines sampling the Bearpaw Formation of Southern Alberta, and are here referred to Enchodus petrosus Cope, 1874.
Luke E. Nelson +2 more
wiley +1 more source
Enhancing accuracy in modelling highly multicollinear data using alternative shrinkage parameters for ridge regression methods. [PDF]
Akhtar N, Alharthi MF.
europepmc +1 more source
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka +4 more
wiley +1 more source
Refining penalized ridge regression: a novel method for optimizing the regularization parameter in genomic prediction. [PDF]
Montesinos-López A +5 more
europepmc +1 more source

