The Continuous Mapping theorem states that stochastic convergence is preserved if is a continuous function. The theoremHere is a statement of the multivariate version of the Continuous Mapping theorem. Proposition Let be a sequence of -dimensional random vectors. Let be a continuous function. Then,...
Multivariate density estimation is a fundamental problem in statistics31,32, High Energy Physics (HEP)33and in other fields of science dealing with multivariate data. For instance, particle physicists in HEP study possible distributions from a set of high energy data. Another application of density ...
partitioning26,27. To improve the accuracy of evapotranspiration partitioning, Niuet al. (2019) applied a model-fusion approach that integrates PT-JPL model with multivariate observation datasets to the estimated T/ET value of the Chinese terrestrial ecosystem. The objective of this study is to pro...
S Leorato - 《Journal of Multivariate Analysis》 被引量: 8发表: 2009年 Convex computation of extremal invariant measures of nonlinear dynamical systems and Markov processes In particular, we show how to approximate the support of the measure as well as how to construct a sequence of weakly conv...
A multisource and multivariate dataset for indoor localization methods based on WLAN and geo-magnetic field fingerprinting. In Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN), Alcala de Henares, Spain, 4–7 October 2016. [Google Scholar] Carrillo, D.;...
where\(\varvec{\sigma }_i\)is the parameter of a shift-invariant kernel,\(\odot \)is the Hadamard (element-wise) product of two vectors,his an element-wise nonlinear function (essentially an inverse quantile function), and\(\mathbf {u}_i\)is a sample drawn from a multivariate uniform...