Buscar
Mostrando ítems 1-10 de 2295
A conditional probability mass function
(Wolfram Demonstration Project, 2016)
The bivariate normal distribution
(Wolfram Demonstration Project, 2016)
The bivariate normal distribution
(Wolfram Demonstration Project, 2011)
Kuznetsov independence for interval-valued expectations and sets of probability distributions: Properties and algorithms
(Philadelphia, 2014)
Kuznetsov independence of variables X and Y means that, for any pair of bounded functions f(X)f(X) and g(Y)g(Y), E[f(X)g(Y)]=E[f(X)]⊠E[g(Y)]E[f(X)g(Y)]=E[f(X)]⊠E[g(Y)], where E[⋅]E[⋅] denotes interval-valued expectation ...
Local dimension and finite time prediction in spatiotemporal chaotic systems
(2003-06-01)
Predictability is related to the uncertainty in the outcome of future events during the evolution of the state of a system. The cluster weighted modeling (CWM) is interpreted as a tool to detect such an uncertainty and ...
Local dimension and finite time prediction in spatiotemporal chaotic systems
(2003-06-01)
Predictability is related to the uncertainty in the outcome of future events during the evolution of the state of a system. The cluster weighted modeling (CWM) is interpreted as a tool to detect such an uncertainty and ...
A class of mixtures of dependent tail-free processes
(OXFORD UNIV PRESS, 2011)
We propose a class of dependent processes in which density shape is regressed on one or more predictors through conditional tail-free probabilities by using transformed Gaussian processes. A particular linear version of ...
Subdifferential characterization of probability functions under Gaussian distribution
(Springer Verlag, 2019)
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature and Mathematical Optimization Society. Probability functions figure prominently in optimization problems of engineering. They may be nonsmooth even if all input ...
A conditional probability mass function
(Wolfram Demonstration Project, 2013)