We use 21 Hubble parameter versus redshift data points, from Simon et al. (2005), Gazta~naga et al. (2009), Stern et al. (2010), and Moresco et al. (2012a), to place constraints on model parameters of constant and time-evolving ...
Dimension reduction and variable selection play important roles in high dimensional data analysis. The sparse MAVE, a model-free variable selection method, is a nice combination of shrinkage estimation, Lasso, and an ...
Smith, David R.; Hamaji, Takashi; Olson, Bradley J.; Durand, Pierre M.; Ferris, Patrick; Michod, Richard E.; Featherston, Jonathan; Nozaki, Hisayoshi; Keeling, Patrick J.(2013)
It has been argued that for certain lineages noncoding DNA expansion is a consequence of the increased random genetic drift associated with long-term escalations in organism size. But a lack of data has prevented the ...
The goal of this work is to show that the numerical solution of the obstacle scattering problem based on the MRC (modified Rayleigh conjecture) method is a competitive alternative to the BIEM (boundary integral equations ...