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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
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RePEc 3,458 ECONIS (ZBW) 3
Showing 1,741 - 1,750 of 3,461
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Nonlinearly perturbed regenerative processes and pseudo-stationary phenomena for stochastic systems
Gyllenberg, Mats; Silvestrov, Dmitrii S. - In: Stochastic Processes and their Applications 86 (2000) 1, pp. 1-27
New types of mixed large deviation and ergodic theorems are obtained for nonlinearly perturbed regenerative processes, semi-Markov processes, and continuous-time Markov chains with absorption. Applications to the analysis of pseudo-stationary phenomena for stochastic systems are discussed....
Persistent link: https://www.econbiz.de/10008874312
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Gaussian limit theorems for diffusion processes and an application
Conlon, Joseph G.; Song, Renming - In: Stochastic Processes and their Applications 81 (1999) 1, pp. 103-128
Suppose that L=[summation operator]i, j=1daij(x)[not partial differential]2/[not partial differential]xi[not partial differential]xj is uniformly elliptic. We use XL(t) to denote the diffusion associated with L. In this paper we show that, if the dimension of the set is strictly less than d, the...
Persistent link: https://www.econbiz.de/10008874923
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Variance-type estimation of long memory
Giraitis, Liudas; Robinson, Peter M.; Surgailis, Donatas - In: Stochastic Processes and their Applications 80 (1999) 1, pp. 1-24
The aggregation procedure when a sample of length N is divided into blocks of length m=o(N), m--[infinity] and observations in each block are replaced by their sample mean, is widely used in statistical inference. Taqqu et al. (1995, Fractals, 3, 785-798), and Teverovsky and Taqqu (1997, J. Time...
Persistent link: https://www.econbiz.de/10008874998
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Sharp asymptotics for the multidimensional KPP equation
Cohen, Serge; Rossignol, Stéphane - In: Stochastic Processes and their Applications 83 (1999) 1, pp. 237-255
In this article sharp asymptotics for the solution of nonhomogeneous Kolmogorov, Petrovskii and Pisciunov equation depending on a small parameter are considered when the initial condition is the characteristic function of a set . We show how to extend the Ben Arous and Rouault's result that...
Persistent link: https://www.econbiz.de/10008875045
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Stability of nonlinear AR(1) time series with delay
Cline, Daren B. H.; Pu, Huay-min H. - In: Stochastic Processes and their Applications 82 (1999) 2, pp. 307-333
The stability of generally defined nonlinear time series is of interest as nonparametric and other nonlinear methods are used more and more to fit time series. We provide sufficient conditions for stability or nonstability of general nonlinear AR(1) models having delay d[greater-or-equal,...
Persistent link: https://www.econbiz.de/10008875063
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Self-collisions of superprocesses: renormalization and limit theorems
Rosen, Jay - In: Stochastic Processes and their Applications 80 (1999) 1, pp. 25-53
In this paper, we study a renormalized self-collision local time for superprocesses over stable processes and classical diffusions. When the renormalization breaks down, we obtain limit theorems.
Persistent link: https://www.econbiz.de/10008875494
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Some dichotomy results for functionals of Harris recurrent Markov chains
Chen, Xia - In: Stochastic Processes and their Applications 83 (1999) 1, pp. 211-236
Let {Xn}n[greater-or-equal, slanted]0 be a Harris recurrent Markov chain with state space E and let [xi] be a measurable map from E to a separable Banach space B and setSome integrabilities and tail behaviors of Sn over one excursion between two visits to a subset A of E are considered. It is...
Persistent link: https://www.econbiz.de/10008875698
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Large deviations formalism for multifractals
Zohar, Gady - In: Stochastic Processes and their Applications 79 (1999) 2, pp. 229-242
For a wide class of measures, the multifractal spectrum is shown to exist iff an appropriate large deviations principle holds, in which case the spectrum is directly obtained from the corresponding rate function. A large deviations tool, enabling the use of the Gärtner-Ellis theorem for the...
Persistent link: https://www.econbiz.de/10008875803
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Almost Gibbsian versus weakly Gibbsian measures
Maes, C.; Redig, F.; Moffaert, A. Van; Leuven, K. U. - In: Stochastic Processes and their Applications 79 (1999) 1, pp. 1-15
We consider two possible extensions of the standard definition of Gibbs measures for lattice spin systems. When a random field has conditional distributions which are almost surely continuous (almost Gibbsian field), then there is a potential for that field which is almost surely summable...
Persistent link: https://www.econbiz.de/10008875812
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The random cluster model on a general graph and a phase transition characterization of nonamenability
Jonasson, Johan - In: Stochastic Processes and their Applications 79 (1999) 2, pp. 335-354
The random cluster model on a general infinite graph with bounded degree wired at infinity is considered and a "ghost vertex" method is introduced in order to explicitly construct random cluster measures satisfying the Dobrushin-Lanford-Ruelle condition for q[greater-or-equal, slanted]1. It is...
Persistent link: https://www.econbiz.de/10008872676
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