Results 71 to 80 of about 2,354,212 (232)
On the Future of Data Analysis
This contribution is based on a discussion on the future of data analysis which took place on the last day of the symposium IDA 2000. By different discussants the main problems of current data analysis as well as future developments were discussed ...
Reinhard Viertl
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Existence and uniqueness of mild solution to fractional stochastic heat equation
For a class of non-autonomous parabolic stochastic partial differential equations defined on a bounded open subset $D\subset {\mathbb{R}^{d}}$ and driven by an ${L^{2}}(D)$-valued fractional Brownian motion with the Hurst index $H>1/2$, a new result on ...
Kostiantyn Ralchenko, Georgiy Shevchenko
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Wiley Series in Probability and Statistics [PDF]
Linda M. Collins, Stephanie T. Lanza
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A Fractional Process with Jumps for Modeling Karstic Spring Discharge Data
Fractal dimensions for the daily discharge data series of several karstic springs in northeast Hungary have recently been computed and analyzed. We model four of those series with similar fractal dimensions using a superposition of a fractional Ornstein ...
Dániel Boros +4 more
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Maximum likelihood estimation in the non-ergodic fractional Vasicek model
We investigate the fractional Vasicek model described by the stochastic differential equation $d{X_{t}}=(\alpha -\beta {X_{t}})\hspace{0.1667em}dt+\gamma \hspace{0.1667em}d{B_{t}^{H}}$, ${X_{0}}={x_{0}}$, driven by the fractional Brownian motion ${B^{H}}$
Stanislav Lohvinenko +1 more
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Probability and statistics with reliability, queueing, and computer science applications (trivedi, k.s.) [book review] [PDF]
Faysal Marzuk
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The stochastic correlation for Brownian motions is the integrand in the formula of their quadratic covariation. The estimation of this stochastic process becomes available from the temporally localized correlation of latent price driving Brownian motions
László Márkus +2 more
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Wiley Series in Probability and Statistics [PDF]
David J. Marchette +16 more
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Fractional Gaussian Noise: Projections, Prediction, Norms
We examine the one-sided and two-sided (bilateral) projections of an element of fractional Gaussian noise onto its neighboring elements. We establish several analytical results and conduct a numerical study to analyze the behavior of the coefficients of ...
Iryna Bodnarchuk +2 more
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A confounding bridge approach for double negative control inference on causal effects
Unmeasured confounding is a key challenge for causal inference. In this paper, we establish a framework for unmeasured confounding adjustment with negative control variables.
Wang Miao +3 more
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