Results 21 to 30 of about 4,476,990 (351)
A Review of Random Walk-Based Method for the Identification of Disease Genes and Disease Modules
IEEE Access, 2023 Traditional techniques for identifying disease genes and disease modules involve high-cost clinical experiments and unpredictable time consumption for analysis.
Tay Xin Hui +9 more
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Journal of The Royal Society Interface, 2018 In empirical studies, trajectories of animals or individuals are sampled in space and time. Yet, it is unclear how sampling procedures bias the recorded data. Here, we consider the important case of movements that consist of alternating rests and moves of random durations and study how the estimate of their statistical properties is affected by the way
Gallotti, Riccardo +3 more
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A phase transition in the random transposition random walk [PDF]
Discrete Mathematics & Theoretical Computer Science, 2003 Our work is motivated by Bourque-Pevzner's simulation study of the effectiveness of the parsimony method in studying genome rearrangement, and leads to a surprising result about the random transposition walk in continuous time on the group of ...
Nathanael Berestycki, Rick Durrett
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Random walks on the random graph [PDF]
The Annals of Probability, 2018 We study random walks on the giant component of the Erdős–Rényi random graph G(n,p) where p=λ/n for λ>1 fixed. The mixing time from a worst starting point was shown by Fountoulakis and Reed, and independently by Benjamini, Kozma and Wormald, to have order log2n.
Berestycki, Nathanaël +3 more
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The Annals of Probability, 2015 Published at http://dx.doi.org/10.1214/13-AOP867 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Denisov, Denis +2 more
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Convolutional Random Walk Networks for Semantic Image Segmentation [PDF]
Computer Vision and Pattern Recognition, 2016 Most current semantic segmentation methods rely on fully convolutional networks (FCNs). However, their use of large receptive fields and many pooling layers cause low spatial resolution inside the deep layers.
Gedas Bertasius +3 more
semanticscholar +1 more source
A martingale approach for the elephant random walk [PDF]
, 2017 The purpose of this paper is to establish, via a martingale approach, some refinements on the asymptotic behavior of the one-dimensional elephant random walk (ERW).
B. Bercu
semanticscholar +1 more source
Journal of Applied Probability, 2014 This paper provides tools for the study of the Dirichlet random walk in Rd. We compute explicitly, for a number of cases, the distribution of the random variable W using a form of Stieltjes transform of W instead of the Laplace transform, replacing the Bessel functions with hypergeometric functions. This enables us to simplify some existing results, in
G. Letac, PICCIONI, MAURO
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Random Walk on the Range of Random Walk [PDF]
Journal of Statistical Physics, 2009 We study the random walk $X$ on the range of a simple random walk on $\mathbb{Z}^d$ in dimensions $d\geq 4$. When $d\geq 5$ we establish quenched and annealed scaling limits for the process $X$, which show that the intersections of the original simple random walk path are essentially unimportant.
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Multifractal random walk [PDF]
Physical Review E, 2001 We introduce a class of multifractal processes, referred to as Multifractal Random Walks (MRWs). To our knowledge, it is the first multifractal processes with continuous dilation invariance properties and stationary increments. MRWs are very attractive alternative processes to classical cascade-like multifractal models since they do not involve any ...
Bacry, Emmanuel, Delour, J., Muzy, J. F.
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