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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
Type of publication (narrower categories)
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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 1,801 - 1,810 of 3,461
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Hydrodynamic limit for a nongradient system in infinite volume
Perrut, Anne - In: Stochastic Processes and their Applications 84 (1999) 2, pp. 227-253
The hydrodynamic limit of the symmetric generalized exclusion process on the torus [0,1) has previously been proved to be a nonlinear diffusive equation. We consider in this paper this model in infinite volume. We prove that the H-1 norm of the difference between the process and the solution of...
Persistent link: https://www.econbiz.de/10008875780
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Stabilization of partial differential equations by noise
Kwiecinska, Anna A. - In: Stochastic Processes and their Applications 79 (1999) 2, pp. 179-184
We provide an example of a class of partial differential equations being stabilized (in terms of Lyapunov exponents) by noise. In particular, we show that the stability of the heat equation can be improved by adding a stochastic term to the equation. We also give an example of an unstable PDE...
Persistent link: https://www.econbiz.de/10008875804
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Signed Poisson approximations for Markov chains
Cekanavicius, V.; Mikalauskas, M. - In: Stochastic Processes and their Applications 82 (1999) 2, pp. 205-227
Consider a sum of Markov dependent lattice variables. The normal approximation is trivial for this sum if the total variation distance is considered. Replacement of the normal approximation by its Poisson structured analogue changes the situation radically. Moreover, considering the Markov...
Persistent link: https://www.econbiz.de/10008875854
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Innovations algorithm for periodically stationary time series
Anderson, Paul L.; Meerschaert, Mark M.; Vecchia, Aldo V. - In: Stochastic Processes and their Applications 83 (1999) 1, pp. 149-169
Periodic ARMA, or PARMA, time series are used to model periodically stationary time series. In this paper we develop the innovations algorithm for periodically stationary processes. We then show how the algorithm can be used to obtain parameter estimates for the PARMA model. These estimates are...
Persistent link: https://www.econbiz.de/10008872569
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Bounds on regeneration times and convergence rates for Markov chains
Roberts, G. O.; Tweedie, R. L. - In: Stochastic Processes and their Applications 80 (1999) 2, pp. 211-229
In many applications of Markov chains, and especially in Markov chain Monte Carlo algorithms, the rate of convergence of the chain is of critical importance. Most techniques to establish such rates require bounds on the distribution of the random regeneration time T that can be constructed, via...
Persistent link: https://www.econbiz.de/10008872615
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Risk and duality in multidimensions
Blaszczyszyn, Bartlomiej; Sigman, Karl - In: Stochastic Processes and their Applications 83 (1999) 2, pp. 331-356
We present, in discrete time, general-state-space dualities between content and insurance risk processes that generalize the stationary recursive duality of Asmussen and Sigman (1996, Probab. Eng. Inf. Sci. 10, 1-20) and the Markovian duality of Siegmund (1976, Ann. Probab. 4, 914-924) (both of...
Persistent link: https://www.econbiz.de/10008872616
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Invariant measures for generalized Langevin equations in conuclear space
Bojdecki, Tomasz; Jakubowski, Jacek - In: Stochastic Processes and their Applications 84 (1999) 1, pp. 1-24
We investigate existence of an invariant probability measure for the equation in a conuclear space [Phi]', where W is a Wiener process in [Phi]' and generates a semigroup in [Phi]. In the first part of the paper we formulate a sufficient and necessary condition for the existence of an invariant...
Persistent link: https://www.econbiz.de/10008872629
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On exponential stability criteria of stochastic partial differential equations
Caraballo, Tomás; Liu, Kai - In: Stochastic Processes and their Applications 83 (1999) 2, pp. 289-301
Some criteria for the mean square and almost sure exponential stability of nonlinear stochastic partial differential equations are shown in this paper. In particular, the main results obtained in Caraballo and Real (1994, Stochast. Anal. Appl. 12(5), 517-525) are improved, since the new...
Persistent link: https://www.econbiz.de/10008872646
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Point processes with finite-dimensional conditional probabilities
Asmussen, Søren; Bladt, Mogens - In: Stochastic Processes and their Applications 82 (1999) 1, pp. 127-142
We study the structure of point processes N with the property that the vary in a finite-dimensional space where [theta]t is the shift and the [sigma]-field generated by the counting process up to time t. This class of point processes is strictly larger than Neuts' class of Markovian arrival...
Persistent link: https://www.econbiz.de/10008872734
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On the regularity of spectral densities of continuous-time completely linearly regular processes
Murua, Alejandro - In: Stochastic Processes and their Applications 79 (1999) 2, pp. 213-227
This paper deals with the study of the relationship between the complete linear regularity of continuous-time weakly stationary processes and the smoothness of their spectral densities. It is shown that when the coefficient of complete linear regularity behaves like O([tau]-(r+[mu])) as [tau] --...
Persistent link: https://www.econbiz.de/10008872735
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