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PROBABILITY AND MOMENT INEQUALITIES UNDER DEPENDENCE
by
Liu, Weidong
, Xiao, Han
, Wu, Wei Biao
in
Density estimation
/ Martingales
/ Mathematical constants
/ Mathematical inequalities
/ Mathematical moments
/ Partial sums
/ Probabilities
/ Random variables
/ Stationary processes
/ Time series
2013
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Do you wish to request the book?
PROBABILITY AND MOMENT INEQUALITIES UNDER DEPENDENCE
by
Liu, Weidong
, Xiao, Han
, Wu, Wei Biao
in
Density estimation
/ Martingales
/ Mathematical constants
/ Mathematical inequalities
/ Mathematical moments
/ Partial sums
/ Probabilities
/ Random variables
/ Stationary processes
/ Time series
2013
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Journal Article
PROBABILITY AND MOMENT INEQUALITIES UNDER DEPENDENCE
2013
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Overview
We establish Nagaev and Rosenthal-type inequalities for dependent random variables. The imposed dependence conditions, which are expressed in terms of functional dependence measures, are directly related to the physical mechanisms of the underlying processes and are easy to work with. Our results are applied to nonlinear time series and kernel density estimates of linear processes.
Publisher
Institute of Statistical Science, Academia Sinica and International Chinese Statistical Association
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