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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 2,021 - 2,030 of 3,461
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Stochastic evolution equations with a spatially homogeneous Wiener process
Peszat, Szymon; Zabczyk, Jerzy - In: Stochastic Processes and their Applications 72 (1997) 2, pp. 187-204
A semilinear parabolic equation on d with a non-additive random perturbation is studied. The noise is supposed to be a spatially homogeneous Wiener process. Conditions for the existence and uniqueness of the solution in terms of the spectral measure of the noise are given. Applications to...
Persistent link: https://www.econbiz.de/10008874120
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Uniform convergence of the empirical spectral distribution function
Mikosch, T.; Norvaisa, R. - In: Stochastic Processes and their Applications 70 (1997) 1, pp. 85-114
Let X be a linear process having a finite fourth moment. Assume is a class of square-integrable functions. We consider the empirical spectral distribution function Jn,X based on X and indexed by . If is totally bounded then Jn,X satisfies a uniform strong law of large numbers. If, in addition, a...
Persistent link: https://www.econbiz.de/10008874143
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Time reversal and reflected diffusions
Petit, Frédérique - In: Stochastic Processes and their Applications 69 (1997) 1, pp. 25-53
We extend Föllmer's results on time reversal on Wiener space to the case of some reflected diffusions.
Persistent link: https://www.econbiz.de/10008874170
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Estimation of the dependence parameter in linear regression with long-range-dependent errors
Giraitis, Liudas; Koul, Hira - In: Stochastic Processes and their Applications 71 (1997) 2, pp. 207-224
This paper establishes the consistency and the root-n asymptotic normality of the exact maximum likelihood estimator of the dependence parameter in linear regression models where the errors are a nondecreasing function of a long-range-dependent stationary Gaussian process. The spectral density...
Persistent link: https://www.econbiz.de/10008874178
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Mixed Poisson approximation in the collective epidemic model
Lefèvre, Claude; Utev, Sergei - In: Stochastic Processes and their Applications 69 (1997) 2, pp. 217-246
The collective epidemic model is a quite flexible model that describes the spread of an infectious disease of the Susceptible-Infected-Removed type in a closed population. A statistic of great interest is the final number of susceptibles who survive the disease. In the present paper, a necessary...
Persistent link: https://www.econbiz.de/10008874189
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The multifractal structure of stable occupation measure
Hu, Xiaoyu; Taylor, S. James - In: Stochastic Processes and their Applications 66 (1997) 2, pp. 283-299
Let X be a stable subordinator of index [alpha] and [mu] be the occupation measure of X. Denote d([mu],x) and as the lower and upper local dimensions of [mu]. We obtain that the Hausdorff dimension of the set of the points where is (2[alpha]2/[beta]) - [alpha] a.s. and the lower bound of packing...
Persistent link: https://www.econbiz.de/10008874216
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A microscopic mechanism for the porous medium equation
Feng, Shui; Iscoe, Ian; Seppäläinen, Timo - In: Stochastic Processes and their Applications 66 (1997) 2, pp. 147-182
The porous medium equation on a d-dimensional torus is obtained as a hydrodynamic scaling limit, with the usual diffusion scaling, of the empirical measures of a sequence of reversible Markov jump processes on approximating periodic lattices. Each process can be viewed as a randomly interacting...
Persistent link: https://www.econbiz.de/10008874230
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Uniform reconstruction of Gaussian processes
Müller-Gronbach, Thomas; Ritter, Klaus - In: Stochastic Processes and their Applications 69 (1997) 1, pp. 55-70
We consider a Gaussian process X with smoothness comparable to the Brownian motion. We analyze reconstructions of X which are based on observations at finitely many points. For each realization of X the error is defined in a weighted supremum norm; the overall error of a reconstruction is...
Persistent link: https://www.econbiz.de/10008874294
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On certain discounted arc-sine laws
Yor, Marc - In: Stochastic Processes and their Applications 71 (1997) 1, pp. 111-122
Persistent link: https://www.econbiz.de/10008874296
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A limit theorem for occupation times of fractional Brownian motion
Kasahara, Y.; Kosugi, N. - In: Stochastic Processes and their Applications 67 (1997) 2, pp. 161-175
Recently, N. Kôno gave a limit theorem for occupation times of fractional Brownian motion, which result generalizes the well-known Kallianpur-Robbins law for two-dimensional Brownian motion. This paper studies a functional limit theorem for Kôno's result. It is proved that, under a suitable...
Persistent link: https://www.econbiz.de/10008874297
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