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  • Search: subject:"Intersection local time"
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Year of publication
Subject
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Fractional Brownian motion 2 Intersection local time 2 Kernel regression 1 Local time 1 Method of moments 1 Nonlinear nonparametric model 1 Ornstein-Uhlenbeck process 1 Self-intersection local time 1 Specification tests 1 Tanaka formula 1 Weak convergence 1 Wiener chaos 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 2 Book / Working Paper 1
Language
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Undetermined 2 English 1
Author
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Jung, Paul 1 Markowsky, Greg 1 Nualart, David 1 Phillips, Peter C.B. 1 Wang, Qiying 1 Xu, Fangjun 1
Institution
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Cowles Foundation for Research in Economics, Yale University 1
Published in...
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Stochastic Processes and their Applications 2 Cowles Foundation Discussion Papers 1
Source
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RePEc 3
Showing 1 - 3 of 3
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Specification Testing for Nonlinear Cointegrating Regression
Wang, Qiying; Phillips, Peter C.B. - Cowles Foundation for Research in Economics, Yale University - 2011
depends on the self intersection local time of a Gaussian process. A new weak convergence result is developed for certain … partial sums of functions involving nonstationary time series that converges to the intersection local time process. This …
Persistent link: https://www.econbiz.de/10008790283
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Central limit theorem for functionals of two independent fractional Brownian motions
Nualart, David; Xu, Fangjun - In: Stochastic Processes and their Applications 124 (2014) 11, pp. 3782-3806
We prove a central limit theorem for functionals of two independent d-dimensional fractional Brownian motions with the same Hurst index H in (2d+2,2d) using the method of moments.
Persistent link: https://www.econbiz.de/10010907048
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On the Tanaka formula for the derivative of self-intersection local time of fractional Brownian motion
Jung, Paul; Markowsky, Greg - In: Stochastic Processes and their Applications 124 (2014) 11, pp. 3846-3868
The derivative of self-intersection local time (DSLT) for Brownian motion was introduced by Rosen (2005) and …
Persistent link: https://www.econbiz.de/10011065021
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