Results 21 to 30 of about 2,310 (40)
Discussion of: Brownian distance covariance
, 2013 We discuss briefly the very interesting concept of Brownian distance covariance developed by Sz\'{e}kely and Rizzo [Ann. Appl. Statist. (2009), to appear] and describe two possible extensions.
Kosorok, Michael R.
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Statistical topological data analysis using persistence landscapes [PDF]
, 2015 We define a new topological summary for data that we call the persistence landscape. Since this summary lies in a vector space, it is easy to combine with tools from statistics and machine learning, in contrast to the standard topological summaries ...
Bubenik, Peter
core
Equations defining probability tree models
, 2019 Coloured probability tree models are statistical models coding conditional independence between events depicted in a tree graph. They are more general than the very important class of context-specific Bayesian networks.
Duarte, Eliana, Görgen, Christiane
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A Geometric View on Constrained M-Estimators [PDF]
, 2015 We study the estimation error of constrained M-estimators, and derive explicit upper bounds on the expected estimation error determined by the Gaussian width of the constraint set.
Cevher, Volkan +3 more
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Random perturbation of low rank matrices: Improving classical bounds
, 2017 Matrix perturbation inequalities, such as Weyl's theorem (concerning the singular values) and the Davis-Kahan theorem (concerning the singular vectors), play essential roles in quantitative science; in particular, these bounds have found application in ...
O'Rourke, Sean, Vu, Van, Wang, Ke
core
Some remarks on sinc integrals and their connection with combinatorics, geometry and probability
, 2007 We give an alternative, combinatorial/geometrical evaluation of a class of improper sinc integrals studied by the Borweins. A probabilistic interpretation is also noted and used to shed light on a related combinatorial identity.Comment: 6 pages ...
Bradley, David M.
core +2 more sources
A new kernel estimator of hazard ratio and its asymptotic mean squared error
, 2016 The hazard function is a ratio of a density and survival function, and it is a basic tool of the survival analysis. In this paper we propose a kernel estimator of the hazard ratio function, which are based on a modification of \'{C}wik and Mielniczuk's ...
Maesono, Yoshihiko, Moriyama, Taku
core
Some of the next articles are maybe not open access.
Theory and Calculation of the Phosphorescence Phenomenon
Chemical Reviews, 2017Gleb Baryshnikov +2 more
exaly
Nuclear Quantum Effects in Water and Aqueous Systems: Experiment, Theory, and Current Challenges
Chemical Reviews, 2016Michele Ceriotti +2 more
exaly
Real-Time Time-Dependent Electronic Structure Theory
Chemical Reviews, 2020Xiaosong Li, , Christine Isborn
exaly