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  • Search: isPartOf:"Stochastic Processes and their Applications"
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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
Source
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RePEc 3,458 ECONIS (ZBW) 3
Showing 1,731 - 1,740 of 3,461
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Weak convergence of multivariate fractional processes
Marinucci, D.; Robinson, P. M. - In: Stochastic Processes and their Applications 86 (2000) 1, pp. 103-120
Weak convergence to a form of fractional Brownian motion is established for a wide class of nonstationary fractionally integrated multivariate processes. Instrumental for the main argument is a result of some independent interest on approximations for partial sums of stationary linear vector...
Persistent link: https://www.econbiz.de/10008874067
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Stochastic calculus with respect to fractional Brownian motion with Hurst parameter lesser than
Alòs, Elisa; Mazet, Olivier; Nualart, David - In: Stochastic Processes and their Applications 86 (2000) 1, pp. 121-139
In this paper we introduce a stochastic integral with respect to the process where 0[alpha]1/2, and Wt is a Brownian motion. Sufficient integrability conditions are deduced using the techniques of the Malliavin calculus and the notion of fractional derivative. We study continuity properties of...
Persistent link: https://www.econbiz.de/10008874072
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Poisson equation, moment inequalities and quick convergence for Markov random walks
Fuh, Cheng-Der; Zhang, Cun-Hui - In: Stochastic Processes and their Applications 87 (2000) 1, pp. 53-67
We provide moment inequalities and sufficient conditions for the quick convergence for Markov random walks, without the assumption of uniform ergodicity for the underlying Markov chain. Our approach is based on martingales associated with the Poisson equation and Wald equations for the second...
Persistent link: https://www.econbiz.de/10008874080
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On the volume of the supercritical super-Brownian sausage conditioned on survival
Engländer, János - In: Stochastic Processes and their Applications 88 (2000) 2, pp. 225-243
Let [alpha] and [beta] be positive constants. Let X be the supercritical super-Brownian motion corresponding to the evolution equation in and let Z be the binary branching Brownian-motion with branching rate [beta]. For t[greater-or-equal, slanted]0, let , that is R(t) is the (accumulated)...
Persistent link: https://www.econbiz.de/10008874114
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A new method for proving weak convergence results applied to nonparametric estimators in survival analysis
Dauxois, Jean-Yves - In: Stochastic Processes and their Applications 90 (2000) 2, pp. 327-334
Using the limit theorem for stochastic integral obtained by Jakubowski et al. (Probab. Theory Related Fields 81 (1989) 111-137), we introduce in this paper a new method for proving weak convergence results of empirical processes by a martingale method which allows discontinuities for the...
Persistent link: https://www.econbiz.de/10008874177
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Reflected BSDEs and mixed game problem
Hamadène, S.; Lepeltier, J. -P. - In: Stochastic Processes and their Applications 85 (2000) 2, pp. 177-188
Under smooth assumptions and notably the Isaacs's condition on the Hamiltonian, we prove the existence of a saddle-point for the "mixed" zero-sum stochastic differential game with payoffThe main tool is the notion of double barrier reflected backward SDEs.
Persistent link: https://www.econbiz.de/10008874229
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Non-degenerate conditionings of the exit measures of super Brownian motion
Salisbury, Thomas S.; Verzani, John - In: Stochastic Processes and their Applications 87 (2000) 1, pp. 25-52
We introduce several martingale changes of measure of the law of the exit measure of super Brownian motion. We represent these laws in terms of "immortal particle" branching processes with immigration of mass, and relate them to the study of solutions to Lu=cu2 in D. The changes of measure...
Persistent link: https://www.econbiz.de/10008874258
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Weak convergence to the multiple Stratonovich integral
Bardina, Xavier; Jolis, Maria - In: Stochastic Processes and their Applications 90 (2000) 2, pp. 277-300
We have considered the problem of the weak convergence, as [var epsilon] tends to zero, of the multiple integral processesin the space , where f[set membership, variant]L2([0,T]n) is a given function, and {[eta][var epsilon](t)}[var epsilon]0 is a family of stochastic processes with absolutely...
Persistent link: https://www.econbiz.de/10008874266
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Distributional limit theorems over a stationary Gaussian sequence of random vectors
Arcones, Miguel A. - In: Stochastic Processes and their Applications 88 (2000) 1, pp. 135-159
Let {Xj}j=1[infinity] be a stationary Gaussian sequence of random vectors with mean zero. We study the convergence in distribution of an-1[summation operator]j=1n (G(Xj)-E[G(Xj)]), where G is a real function in with finite second moment and {an} is a sequence of real numbers converging to...
Persistent link: https://www.econbiz.de/10008874287
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Asymptotic behaviour of Gaussian processes with integral representation
Garet, Olivier - In: Stochastic Processes and their Applications 89 (2000) 2, pp. 287-303
The aim of this work is the study of limit points of Gaussian processes with continuous paths defined by an integral representation. Precisely, we control the asymptotic behaviour of a(t)Xt, where a is a function which vanishes at infinity and X is a Gaussian process. At first, we study...
Persistent link: https://www.econbiz.de/10008874292
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