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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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Online availability
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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 301 - 310 of 3,461
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Convergence in total variation on Wiener chaos
Nourdin, Ivan; Poly, Guillaume - In: Stochastic Processes and their Applications 123 (2013) 2, pp. 651-674
Let {Fn} be a sequence of random variables belonging to a finite sum of Wiener chaoses. Assume further that it converges in distribution towards F∞ satisfying V ar(F∞)0. Our first result is a sequential version of a theorem by Shigekawa (1980) [23]. More precisely, we prove, without...
Persistent link: https://www.econbiz.de/10011065031
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Derivative formulas and gradient estimates for SDEs driven by α-stable processes
Zhang, Xicheng - In: Stochastic Processes and their Applications 123 (2013) 4, pp. 1213-1228
In this paper we prove a derivative formula of Bismut–Elworthy–Li’s type as well as a gradient estimate for stochastic differential equations driven by α-stable noises, where α∈(0,2). As an application, the strong Feller property for stochastic partial differential equations driven by...
Persistent link: https://www.econbiz.de/10011065034
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Law of large numbers for super-Brownian motions with a single point source
Grummt, Robert; Kolb, Martin - In: Stochastic Processes and their Applications 123 (2013) 4, pp. 1183-1212
We investigate the super-Brownian motion with a single point source in dimensions 2 and 3 as constructed by Fleischmann and Mueller in 2004. Using analytic facts we derive the long time behavior of the mean in dimensions 2 and 3 thereby complementing previous work of Fleischmann, Mueller and...
Persistent link: https://www.econbiz.de/10011065036
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Time homogeneous diffusions with a given marginal at a deterministic time
Noble, John M. - In: Stochastic Processes and their Applications 123 (2013) 3, pp. 675-718
In this article, it is proved that for any probability law μ over R with finite first moment and a given deterministic time t>0, there exists a gap diffusion with law μ at the prescribed time t.
Persistent link: https://www.econbiz.de/10011065038
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Block sampling under strong dependence
Zhang, Ting; Ho, Hwai-Chung; Wendler, Martin; Wu, Wei Biao - In: Stochastic Processes and their Applications 123 (2013) 6, pp. 2323-2339
The paper considers the block sampling method for long-range dependent processes. Our theory generalizes earlier ones by Hall et al. (1998) [11] on functionals of Gaussian processes and Nordman and Lahiri (2005) [16] on linear processes. In particular, we allow nonlinear transforms of linear...
Persistent link: https://www.econbiz.de/10011065039
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Nonparametric estimation for stochastic differential equations with random effects
Comte, F.; Genon-Catalot, V.; Samson, A. - In: Stochastic Processes and their Applications 123 (2013) 7, pp. 2522-2551
We consider N independent stochastic processes (Xj(t),t∈[0,T]), j=1,…,N, defined by a one-dimensional stochastic differential equation with coefficients depending on a random variable ϕj and study the nonparametric estimation of the density of the random effect ϕj in two kinds of mixed...
Persistent link: https://www.econbiz.de/10011065043
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Power variation from second order differences for pure jump semimartingales
Todorov, Viktor - In: Stochastic Processes and their Applications 123 (2013) 7, pp. 2829-2850
We introduce power variation constructed from powers of the second-order differences of a discretely observed pure-jump semimartingale processes. We derive the asymptotic behavior of the statistic in the setting of high-frequency observations of the underlying process with a fixed time span....
Persistent link: https://www.econbiz.de/10011065044
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Optimally thresholded realized power variations for Lévy jump diffusion models
Figueroa-López, José E.; Nisen, Jeffrey - In: Stochastic Processes and their Applications 123 (2013) 7, pp. 2648-2677
Thresholded Realized Power Variations (TPVs) are one of the most popular nonparametric estimators for general continuous-time processes with a wide range of applications. In spite of their popularity, a common drawback lies in the necessity of choosing a suitable threshold for the estimator, an...
Persistent link: https://www.econbiz.de/10011065046
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Muller’s ratchet clicks in finite time
Audiffren, Julien; Pardoux, Etienne - In: Stochastic Processes and their Applications 123 (2013) 6, pp. 2370-2397
We consider the accumulation of deleterious mutations in an asexual population, a phenomenon known as Muller’s ratchet, using the continuous time model proposed by Alison et al. (2009) [4]. We show that for any parameter λ0 (the rate at which mutations occur), for any α0 (the toxicity of...
Persistent link: https://www.econbiz.de/10011065051
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Splitting trees with neutral Poissonian mutations II: Largest and oldest families
Champagnat, Nicolas; Lambert, Amaury - In: Stochastic Processes and their Applications 123 (2013) 4, pp. 1368-1414
We consider a supercritical branching population, where individuals have i.i.d. lifetime durations (which are not necessarily exponentially distributed) and give birth (singly) at constant rate. We assume that individuals independently experience neutral mutations, at constant rate θ during...
Persistent link: https://www.econbiz.de/10011065053
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