In recent years, data dimensionality has increasingly become a concern, leading to many parameter and dimension reduction techniques being proposed in the literature. A parameter-wise co-clustering model, for (possibly high-dimensional) modelled via continuous random variables, is presented. The although allowing more flexibility, still maintains very high degree of parsimony interpretability a...

in the past decades, much effort has been devoted to simulation of the rainfall-runoff process. hydrological models are simplified representations of the natural hydrologic system. in each case, the choice of the model to be applied depends mainly on the objective of the modeling but also on the available information. the relative performances of two lumped conceptual-based hydrology models (ta...

a projective parameter of a geodesic as solution of certain ode is defined to be a parameter which is invariant under projective change of metric. using projective parameter and poincaré metric, an intrinsic projectively invariant pseudo-distance can be constructed. in the present work, solutions of the above ode are characterized with respect to the sign of parallel ricci tensor on a finsler s...

We construct confidence sets for the regression function in nonparametric binary regression with an unknown design density– a nuisance parameter in the problem. These confidence sets are adaptive in L loss over a continuous class of Sobolev type spaces. Adaptation holds in the smoothness of the regression function, over the maximal parameter spaces where adaptation is possible, provided the des...

In this study, an investigation is carried out for laminar steady mixed 2D magnetohydrodynamic (MHD) flow of micropolar Casson fluid with thermal radiation over a horizontal circular cylinder with constant surface temperature. In the present study, an investigation is carried out on the effects of physical parameters on Casson fluid non dimensional numbers. The governing nonlinear partial diffe...