2014
DOI: 10.1051/ps/2013049
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An application of multivariate total positivity to peacocks

Abstract: Abstract:We use multivariate total positivity theory to exhibit new families of peacocks. As ). There are many random vectors which are strongly conditionally monotone (SCM). Indeed, we shall prove that multivariate totally positive of order 2 (MTP 2 ) random vectors are SCM. As a consequence, stochastic processes with MTP 2 finite-dimensional marginals are SCM. This family includes processes with independent and log-concave increments, and one-dimensional diffusions which have absolutely continuous transition… Show more

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Cited by 2 publications
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“…There are many interesting Markov processes which admit a TP 2 transition kernel. For example, processes with independent and log-concave increments, absolute values of processes with independent and symmetric PF ∞ increments, birth-death processes, one-dimensional diffusions and the bridges of one-dimensional diffusions have a TP 2 transition kernel (see e.g., [3,10,12,11]). Now, we restrict our attention to R + -valued Markov processes which admit a TP 2 transition kernel.…”
Section: Log-concavity Properties Of Nonnegative Markov Processesmentioning
confidence: 99%
“…There are many interesting Markov processes which admit a TP 2 transition kernel. For example, processes with independent and log-concave increments, absolute values of processes with independent and symmetric PF ∞ increments, birth-death processes, one-dimensional diffusions and the bridges of one-dimensional diffusions have a TP 2 transition kernel (see e.g., [3,10,12,11]). Now, we restrict our attention to R + -valued Markov processes which admit a TP 2 transition kernel.…”
Section: Log-concavity Properties Of Nonnegative Markov Processesmentioning
confidence: 99%