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Modern Problems of Stochastic Analysis and Statistics

Overview of attention for book
Cover of 'Modern Problems of Stochastic Analysis and Statistics'

Table of Contents

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    Book Overview
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    Chapter 1 Random Walks in Nonhomogeneous Poisson Environment
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    Chapter 2 Random Motions with Space-Varying Velocities
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    Chapter 3 Parametrix Methods for One-Dimensional Reflected SDEs
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    Chapter 4 Harnack Inequalities and Bounds for Densities of Stochastic Processes
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    Chapter 5 A Survey on Conditioned Limit Theorems for Products of Random Matrices and Affine Random Walks
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    Chapter 6 Bounds in the Local Limit Theorem for a Random Walk Conditioned to Stay Positive
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    Chapter 7 Regression-Based Variance Reduction Approach for Strong Approximation Schemes
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    Chapter 8 Quadratic Approximation for Log-Likelihood Ratio Processes
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    Chapter 9 Noise Sensitivity of Functionals of Fractional Brownian Motion Driven Stochastic Differential Equations: Results and Perspectives
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    Chapter 10 Drift Parameter Estimation in the Models Involving Fractional Brownian Motion
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    Chapter 11 Convergence to Equilibrium for Many Particle Systems
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    Chapter 12 Large Deviations for the Rightmost Position in a Branching Brownian Motion
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    Chapter 13 Bounds on the Prediction Error of Penalized Least Squares Estimators with Convex Penalty
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    Chapter 14 Structured Nonparametric Curve Estimation
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    Chapter 15 New Research Directions in Modern Actuarial Sciences
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    Chapter 16 Population Processes with Immigration
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    Chapter 17 Spatial Models of Population Processes
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    Chapter 18 Ergodic Markov Processes and Poisson Equations (Lecture Notes)
Attention for Chapter 18: Ergodic Markov Processes and Poisson Equations (Lecture Notes)
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Citations

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Chapter title
Ergodic Markov Processes and Poisson Equations (Lecture Notes)
Chapter number 18
Book title
Modern Problems of Stochastic Analysis and Statistics
Published in
arXiv, May 2016
DOI 10.1007/978-3-319-65313-6_18
Book ISBNs
978-3-31-965312-9, 978-3-31-965313-6
Authors

Alexander Veretennikov, Veretennikov, Alexander

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 42%
Researcher 2 17%
Professor 1 8%
Student > Master 1 8%
Lecturer 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Mathematics 6 50%
Computer Science 4 33%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 November 2023.
All research outputs
#15,853,601
of 25,877,363 outputs
Outputs from arXiv
#241,707
of 952,695 outputs
Outputs of similar age
#196,417
of 354,418 outputs
Outputs of similar age from arXiv
#2,768
of 12,910 outputs
Altmetric has tracked 25,877,363 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 952,695 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12,910 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.