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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
Type of publication
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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 1,041 - 1,050 of 3,461
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Limits for weighted p-variations and likewise functionals of fractional diffusions with drift
León, José; Ludeña, Carenne - In: Stochastic Processes and their Applications 117 (2007) 3, pp. 271-296
Let Xt be the pathwise solution of a diffusion driven by a fractional Brownian motion with Hurst constant H1/2 and diffusion coefficient [sigma](t,x). Consider the successive increments of this solution, [Delta]Xi=Xi/n-X(i-1)/n. Using a cylinder approximation for the solution Xt, our main result...
Persistent link: https://www.econbiz.de/10008875070
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Estimation of the offspring mean in a controlled branching process with a random control function
Sriram, T.N.; Bhattacharya, A.; González, M.; Martínez, R. - In: Stochastic Processes and their Applications 117 (2007) 7, pp. 928-946
Controlled branching processes (CBP) with a random control function provide a useful way to model generation sizes in population dynamics studies, where control on the growth of the population size is necessary at each generation. An important special case of this process is the well known...
Persistent link: https://www.econbiz.de/10008875089
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On Gittins' index theorem in continuous time
Bank, Peter; Küchler, Christian - In: Stochastic Processes and their Applications 117 (2007) 9, pp. 1357-1371
We give a new and comparably short proof of Gittins' index theorem for dynamic allocation problems of the multi-armed bandit type in continuous time under minimal assumptions. This proof gives a complete characterization of optimal allocation strategies as those policies which follow the current...
Persistent link: https://www.econbiz.de/10008875127
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Approximations and limit theory for quadratic forms of linear processes
Bhansali, R.J.; Giraitis, L.; Kokoszka, P.S. - In: Stochastic Processes and their Applications 117 (2007) 1, pp. 71-95
The paper develops a limit theory for the quadratic form Qn,X in linear random variables X1,...,Xn which can be used to derive the asymptotic normality of various semiparametric, kernel, window and other estimators converging at a rate which is not necessarily n1/2. The theory covers practically...
Persistent link: https://www.econbiz.de/10008875135
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Estimation for the additive Gaussian channel and Monge-Kantorovitch measure transportation
Üstünel, Ali Süleyman - In: Stochastic Processes and their Applications 117 (2007) 9, pp. 1316-1329
Let (W,[mu],H) be an abstract Wiener space and assume that Y is a signal of the form Y=X+w, where X is an H-valued random variable, w is the generic element of W. Under the hypothesis of independence of w and X, we show that the quadratic estimate of X, denoted by , is of the form [backward...
Persistent link: https://www.econbiz.de/10008875148
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A large deviation principle for 2D stochastic Navier-Stokes equation
Gourcy, Mathieu - In: Stochastic Processes and their Applications 117 (2007) 7, pp. 904-927
In this paper one specifies the ergodic behavior of the 2D-stochastic Navier-Stokes equation by giving a Large Deviation Principle for the occupation measure for large time. It describes the exact rate of exponential convergence. The considered random force is non-degenerate and compatible with...
Persistent link: https://www.econbiz.de/10008875212
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Convergence of some time inhomogeneous Markov chains via spectral techniques
Saloff-Coste, L.; Zúñiga, J. - In: Stochastic Processes and their Applications 117 (2007) 8, pp. 961-979
We consider the problem of giving explicit spectral bounds for time inhomogeneous Markov chains on a finite state space. We give bounds that apply when there exists a probability [pi] such that each of the different steps corresponds to a nice ergodic Markov kernel with stationary measure [pi]....
Persistent link: https://www.econbiz.de/10008875219
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Uniform concentration inequality for ergodic diffusion processes
Galtchouk, L.; Pergamenshchikov, S. - In: Stochastic Processes and their Applications 117 (2007) 7, pp. 830-839
We consider the deviation function in the ergodic theorem for an ergodic diffusion process (yt) where [phi] is some function, m([phi]) is the integral of [phi] with respect to the ergodic distribution of (yt). We prove a concentration inequality for [Delta]T([phi]) which is uniform with respect...
Persistent link: https://www.econbiz.de/10008875224
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An empirical central limit theorem for dependent sequences
Dedecker, Jérôme; Prieur, Clémentine - In: Stochastic Processes and their Applications 117 (2007) 1, pp. 121-142
We prove a central limit theorem for the d-dimensional distribution function of a class of stationary sequences. The conditions are expressed in terms of some coefficients which measure the dependence between a given [sigma]-algebra and indicators of quadrants. These coefficients are weaker than...
Persistent link: https://www.econbiz.de/10008875232
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Exit times for a class of piecewise exponential Markov processes with two-sided jumps
Jacobsen, Martin; Jensen, Anders Tolver - In: Stochastic Processes and their Applications 117 (2007) 9, pp. 1330-1356
We consider first passage times for piecewise exponential Markov processes that may be viewed as Ornstein-Uhlenbeck processes driven by compound Poisson processes. We allow for two-sided jumps and as a main result we derive the joint Laplace transform of the first passage time of a lower level...
Persistent link: https://www.econbiz.de/10008875245
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