Showing papers by "Enzo Orsingher published in 1999"
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TL;DR: In this paper, some extensions of the distributions of the maximum of the Brownian bridge in [0,t] when the conditioning event is placed at a future timeu>t or at an intermediate timeu t andu
Abstract: We present some extensions of the distributions of the maximum of the Brownian bridge in [0,t] when the conditioning event is placed at a future timeu>t or at an intermediate timeu t andu
56 citations
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TL;DR: In this article, the authors construct models obtained by suitably combining Brownian motions and telegraphs in such a way that their transition functions satisfy higher-order parabolic or hyperbolic equations of different types.
Abstract: In this paper we construct models obtained by suitably combining Brownian motions and telegraphs in such a way that their transition functions satisfy higher-order parabolic or hyperbolic equations of different types. Equations with time-varying coefficients are also derived by considering processes endowed either with drift or with suitable modifications of their structure. Finally the distribution of the maximum of the iterated Brownian motion (along with some other properties) is presented.
19 citations
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TL;DR: In this article, the hyperbolic equations governing the joint distri- butions of the vector process are derived and analyzed, and a special care is given to the case of the process (X0(t,X1,t, X2, t > 0) representing a randomly accelerated motion where some explicit results on the probability distribution are derived.
Abstract: We analyse the vector process (X0(t);X1(t);:::;Xn(t), t > 0) where Xk(t) = t R 0 XkA1(s)ds, k = 1;:::;n, and X0(t) is the two-valued telegraph process. In particular, the hyperbolic equations governing the joint distri- butions of the process are derived and analysed. Special care is given to the case of the process (X0(t);X1(t); X2(t), t > 0) representing a randomly accelerated motion where some explicit results on the probability distribution are derived.
5 citations