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Stochastic Analysis and Applications 2014

Overview of attention for book
Cover of 'Stochastic Analysis and Applications 2014'

Table of Contents

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    Book Overview
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    Chapter 1 Wong-Zakai Approximation of Solutions to Reflecting Stochastic Differential Equations on Domains in Euclidean Spaces II
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    Chapter 2 Symmetric Diffusions with Polynomial Eigenvectors
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    Chapter 3 Cutting Edges at Random in Large Recursive Trees
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    Chapter 4 The Master Equation for Large Population Equilibriums
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    Chapter 5 The Filtering Equations Revisited
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    Chapter 6 On the Stochastic Least Action Principle for the Navier-Stokes Equation
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    Chapter 7 KMT Theory Applied to Approximations of SDE
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    Chapter 8 Regularity Theory for Rough Partial Differential Equations and Parabolic Comparison Revisited
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    Chapter 9 Time-Inconsistent Portfolio Investment Problems
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    Chapter 10 Decompositions of Diffusion Operators and Related Couplings
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    Chapter 11 Spatial Risk Measures: Local Specification and Boundary Risk
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    Chapter 12 On Villat’s Kernels and BMD Schwarz Kernels in Komatu-Loewner Equations
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    Chapter 13 Skew-Unfolding the Skorokhod Reflection of a Continuous Semimartingale
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    Chapter 14 Normal Approximation on a Finite Wiener Chaos
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    Chapter 15 An Overview of Viscosity Solutions of Path-Dependent PDEs
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    Chapter 16 Logarithmic Asymptotics of the Densities of SPDEs Driven by Spatially Correlated Noise
Attention for Chapter 16: Logarithmic Asymptotics of the Densities of SPDEs Driven by Spatially Correlated Noise
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Chapter title
Logarithmic Asymptotics of the Densities of SPDEs Driven by Spatially Correlated Noise
Chapter number 16
Book title
Stochastic Analysis and Applications 2014
Published in
arXiv, January 2014
DOI 10.1007/978-3-319-11292-3_16
Book ISBNs
978-3-31-911291-6, 978-3-31-911292-3
Authors

Marta Sanz-Solé, André Süß, Sanz-Solé, Marta, Süß, André

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The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 December 2013.
All research outputs
#20,211,690
of 22,733,113 outputs
Outputs from arXiv
#668,072
of 932,838 outputs
Outputs of similar age
#264,727
of 305,181 outputs
Outputs of similar age from arXiv
#5,320
of 9,916 outputs
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So far Altmetric has tracked 932,838 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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