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We report on the generation, subsequent oscillation and interaction of a pair of matter-wave dark solitons. These are created by releasing a Bose-Einstein condensate from a double well potential into ...
In the following article we consider approximate Bayesian parameter inference for observation driven time series models. Such statistical models appear in a wide variety of applications, including eco...
In nonlinear state-space models, sequential learning about the hidden state can proceed by particle filtering when the density of the observation conditional on the state is available analytically (...
Appealing to several multivariate information measures|some familiar, some new here|we ana- lyze the information embedded in discrete-valued stochastic time series. We dissect the uncertainty of a s...
In the classical version of the Bayesian quickest change detection problem proposed by Shiryaev, there is a sequence of observations whose distribution changes at a random time, and the goal is to m...
Consider independent and identically distributed random variables (X, XRj, I < j < k, k > 1) from a particular distribution with EX = oo. We show that there exists an unusual generalized Law of the...

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