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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
Source
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RePEc 3,458 ECONIS (ZBW) 3
Showing 1,551 - 1,560 of 3,461
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On random perturbations of Hamiltonian systems with many degrees of freedom
Freidlin, Mark; Weber, Matthias - In: Stochastic Processes and their Applications 94 (2001) 2, pp. 199-239
We consider a class of random perturbations of Hamiltonian systems with many degrees of freedom. We assume that the perturbations consist of two components: a larger one which preserves the energy and destroys all other first integrals, and a smaller one which is a non-degenerate white noise...
Persistent link: https://www.econbiz.de/10008874852
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On Bernstein-type inequalities for martingales
Dzhaparidze, K.; van Zanten, J. H. - In: Stochastic Processes and their Applications 93 (2001) 1, pp. 109-117
Bernstein-type inequalities for local martingales are derived. The results extend a number of well-known exponential inequalities and yield an asymptotic inequality for a sequence of asymptotically continuous martingales.
Persistent link: https://www.econbiz.de/10008874889
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Lyapunov exponents of Poisson shot-noise velocity fields
Çaglar, Mine; Çinlar, Erhan - In: Stochastic Processes and their Applications 94 (2001) 1, pp. 29-49
We consider the Lyapunov exponents of flows generated by a class of Markovian velocity fields. The existence of the exponents is obtained for flows on a compact set, but with the most general form of the velocity field. As a particular class, we study the homogeneous and incompressible flows. In...
Persistent link: https://www.econbiz.de/10008874940
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On stochastic partial differential equations with spatially correlated noise: smoothness of the law
Márquez-Carreras, D.; Mellouk, M.; Sarrà, M. - In: Stochastic Processes and their Applications 93 (2001) 2, pp. 269-284
We deal with the following general kind of stochastic partial differential equations:with null initial conditions, L a second-order partial differential operator and F a Gaussian noise, white in time and correlated in space. Firstly, we prove that the solution u(t,x) possesses a smooth density...
Persistent link: https://www.econbiz.de/10008874944
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Free lunch and arbitrage possibilities in a financial market model with an insider
Imkeller, Peter; Pontier, Monique; Weisz, Ferenc - In: Stochastic Processes and their Applications 92 (2001) 1, pp. 103-130
We consider financial market models based on Wiener space with two agents on different information levels: a regular agent whose information is contained in the natural filtration of the Wiener process W, and an insider who possesses some extra information from the beginning of the trading...
Persistent link: https://www.econbiz.de/10008874967
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Fluctuation of the transition density for Brownian motion on random recursive Sierpinski gaskets
Hambly, B. M.; Kumagai, Takashi - In: Stochastic Processes and their Applications 92 (2001) 1, pp. 61-85
We consider a class of random recursive Sierpinski gaskets and examine the short-time asymptotics of the on-diagonal transition density for a natural Brownian motion. In contrast to the case of divergence form operators in or regular fractals we show that there are unbounded fluctuations in the...
Persistent link: https://www.econbiz.de/10008874979
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Stochastic viscosity solutions for nonlinear stochastic partial differential equations. Part I
Buckdahn, Rainer; Ma, Jin - In: Stochastic Processes and their Applications 93 (2001) 2, pp. 181-204
This paper, together with the accompanying work (Part II, Stochastic Process. Appl. 93 (2001) 205-228) is an attempt to extend the notion of viscosity solution to nonlinear stochastic partial differential equations. We introduce a definition of stochastic viscosity solution in the spirit of its...
Persistent link: https://www.econbiz.de/10008874992
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Long-time behaviour of nonautonomous SPDE's
Maslowski, Bohdan; Simão, Isabel - In: Stochastic Processes and their Applications 95 (2001) 2, pp. 285-309
It is proved that under suitable conditions the probability laws of two arbitrary solutions of the infinite dimensional stochastic equationdXt=AXt dt+f(t,Xt) dt+Q1/2 dWtconverge to each other, as time goes to infinity, in the strong (variational) topology. To this end, some lower estimates on...
Persistent link: https://www.econbiz.de/10008875009
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Stationary self-similar random fields on the integer lattice
Chi, Zhiyi - In: Stochastic Processes and their Applications 91 (2001) 1, pp. 99-113
We establish several methods for constructing stationary self-similar random fields (ssf's) on the integer lattice by "random wavelet expansion", which stands for representation of random fields by sums of randomly scaled and translated functions, or more generally, by composites of random...
Persistent link: https://www.econbiz.de/10008875029
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Percolation diffusion
Lundh, Torbjörn - In: Stochastic Processes and their Applications 95 (2001) 2, pp. 235-244
Let a Brownian motion in the unit ball be absorbed if it hits a set generated by a radially symmetric Poisson point process. The point set is "fattened" by putting a ball with a constant hyperbolic radius on each point. When is the probability non-zero that the Brownian motion hits the boundary...
Persistent link: https://www.econbiz.de/10008875129
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