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  • Search: isPartOf:"Stochastic Processes and their Applications"
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Subject
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Malliavin calculus 17 Large deviations 16 Lévy process 16 Lévy processes 16 Fractional Brownian motion 15 Central limit theorem 13 Backward stochastic differential equations 11 Stochastic differential equation 10 Stochastic differential equations 9 Weak convergence 9 Brownian motion 8 Random walk 8 Branching process 7 Coupling 7 Invariance principle 7 Limit theorems 7 Local time 7 Markov chain 7 Martingales 7 Stochastic partial differential equations 7 Branching processes 6 Comparison theorem 6 Percolation 6 Regular variation 6 Scale function 6 Scaling limit 6 Stable convergence 6 Stochastic partial differential equation 6 Viscosity solution 6 Feynman–Kac formula 5 G-expectation 5 Gaussian process 5 Gaussian processes 5 Harmonic function 5 Large deviation 5 Long memory 5 Markov chains 5 Optimal stopping 5 Poisson point process 5 Wiener chaos 5
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Undetermined 3,458 Free 2
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Article 3,458 Book / Working Paper 3
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Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Undetermined 3,458 English 3
Author
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Nualart, David 21 Taqqu, Murad S. 17 Horváth, Lajos 15 Samorodnitsky, Gennady 15 Csáki, Endre 13 Khoshnevisan, Davar 13 Shi, Zhan 13 Csörgo, Miklós 12 Shao, Qi-Man 12 Davis, Richard A. 11 Hall, Peter 11 Imkeller, Peter 11 Kim, Panki 11 Mikosch, Thomas 11 Hsing, Tailen 10 Klüppelberg, Claudia 10 Peng, Shige 10 Révész, Pál 10 Wang, Feng-Yu 10 Zhang, Xicheng 10 Asmussen, Søren 9 Heyde, C. C. 9 Mao, Xuerong 9 Rosen, Jay 9 Surgailis, Donatas 9 Yor, Marc 9 Adler, Robert J. 8 Albeverio, Sergio 8 Albin, J. M. P. 8 Berkes, István 8 Braverman, Michael 8 Fleischmann, Klaus 8 Fournier, Nicolas 8 Hu, Ying 8 Last, Günter 8 Masry, Elias 8 Orsingher, Enzo 8 Pakes, Anthony G. 8 Podolskij, Mark 8 Thorisson, Hermann 8
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Stochastic Processes and their Applications 3,458 38th Conference on Stochastic Processes and their Applications, Oxford, UK 1 Forthcoming publication in Stochastic Processes and their Applications 1 Research paper series / Swiss Finance Institute 1 Stochastic Processes and their Applications, 2018, 128(10): 3353-3386 1
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RePEc 3,458 ECONIS (ZBW) 3
Showing 2,051 - 2,060 of 3,461
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On central and non-central limit theorems in density estimation for sequences of long-range dependence
Hwai-Chung, Ho - In: Stochastic Processes and their Applications 63 (1996) 2, pp. 153-174
This paper studies the asymptotic properties of the kernel probability density estimate of stationary sequences which are observed through some non-linear instantaneous filter applied to long-range dependent Gaussian sequences. It is shown that the limiting distribution of the kernel estimator...
Persistent link: https://www.econbiz.de/10008874872
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Tails of subordinated laws: The regularly varying case
Geluk, J. L. - In: Stochastic Processes and their Applications 61 (1996) 1, pp. 147-161
Suppose Xi, I = 1, 2, ... are i.i.d. positive random variables with d.f. F. We assume the tail d.f. to be regularly varying with 0 < [beta] < 1. The asymptotic behaviour of P(SN > x) as x -- [infinity] where SN = [Sigma]N1Xi and N,Xi(i = 1) independent with [Sigma][infinity]n=0P(N = n)xn analytic at x = 1 is studied under an additional...</[beta]>
Persistent link: https://www.econbiz.de/10008874928
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An averaging principle for dynamical systems in Hilbert space with Markov random perturbations
Hoppensteadt, F.; Salehi, H.; Skorokhod, A. - In: Stochastic Processes and their Applications 61 (1996) 1, pp. 85-108
We study the asymptotic behavior of solutions of differential equations dx[var epsilon](t)/dt = A(y(t/[var epsilon]))x[var epsilon](t), x[var epsilon](0) = x0, where A(y), for y in a space Y, is a family of operators forming the generators of semigroups of bounded linear operators in a Hilbert...
Persistent link: https://www.econbiz.de/10008874947
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Diffusion approximation for hyperbolic stochastic differential equations
Florit, Carme; Nualart, David - In: Stochastic Processes and their Applications 65 (1996) 1, pp. 1-15
In this paper we show an approximation diffusion theorem for a stochastic integral equation on the plane driven by a two-parameter Wiener process. This result is obtained by means of the martingale problem approach for two-parameter processes.
Persistent link: https://www.econbiz.de/10008875028
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Unpredictability of an exit time
Brassesco, S. - In: Stochastic Processes and their Applications 63 (1996) 1, pp. 55-65
We consider a process u[var epsilon](x,t), for x in a bounded interval, t [greater-or-equal, slanted] 0 and [var epsilon] a small parameter, given as the solution of a nonlinear heat equation perturbed by a space-time white noise multiplied by [var epsilon]. The nonlinear part is the derivative...
Persistent link: https://www.econbiz.de/10008875042
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Asymmetric conservative processes with random rates
Benjamini, I.; Ferrari, P. A.; Landim, C. - In: Stochastic Processes and their Applications 61 (1996) 2, pp. 181-204
We study a one-dimensional nearest neighbor simple exclusion process for which the rates of jump are chosen randomly at time zero and fixed for the rest of the evolution. The ith particle's right and left jump rates are denoted pi and qi respectively; pi+ qi = 1. We fix c [epsilon] (1/2, 1) and...
Persistent link: https://www.econbiz.de/10008875096
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Superposed continuous renewal processes A Markov renewal approach
Alsmeyer, Gerold - In: Stochastic Processes and their Applications 61 (1996) 2, pp. 311-322
Lam and Lehoczky (1991) have recently given a number of extensions of classical renewal theorems to superpositions of p independent renewal processes. In this article we want to advertise an approach that more explicitly uses a Markov renewal theoretic framework and thus leads to a simplified...
Persistent link: https://www.econbiz.de/10008875120
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Recuit simulé partiel
Miclo, Laurent - In: Stochastic Processes and their Applications 65 (1996) 2, pp. 281-298
Let (L[theta])[theta][epsilon]N be a family of elliptic diffusion operators on a compact and connected smooth manifold M, whose terms of first order are indexed by a parameter [theta] living in N, the n-dimensional torus. For each fixed [theta], we associate to L[theta] its invariant probability...
Persistent link: https://www.econbiz.de/10008875235
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Parameter estimation and reverse martingales
Björk, Tomas; Johansson, Björn - In: Stochastic Processes and their Applications 63 (1996) 2, pp. 235-263
Within the framework of transitive sufficient processes we investigate identifiability properties of unknown parameters. In particular we consider unbiased parameter estimators, which are shown to be closely connected to time reversal and to reverse martingales. One of the main results is that,...
Persistent link: https://www.econbiz.de/10008875362
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Asymptotic singular windings of ergodic diffusions
Franchi, J. - In: Stochastic Processes and their Applications 62 (1996) 2, pp. 277-298
Let M be a complete connected oriented Riemannian manifold of dimension n [greater-or-equal, slanted] 3; let X be a symmetrizable ergodic diffusion on M; let y be an oriented compact submanifold of M, of codimension 2; let Nt be the linking number between y and X [0, t]; then t-1 Nt converges in...
Persistent link: https://www.econbiz.de/10008875413
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