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pro vyhledávání: '"Cohen, Edward A. K."'
Network point processes often exhibit latent structure that govern the behaviour of the sub-processes. It is not always reasonable to assume that this latent structure is static, and detecting when and how this driving structure changes is often of i
Externí odkaz:
http://arxiv.org/abs/2407.04138
Detecting changes in data streams is a vital task in many applications. There is increasing interest in changepoint detection in the online setting, to enable real-time monitoring and support prompt responses and informed decision-making. Many approa
Externí odkaz:
http://arxiv.org/abs/2405.15576
It is often assumed that events cannot occur simultaneously when modelling data with point processes. This raises a problem as real-world data often contains synchronous observations due to aggregation or rounding, resulting from limitations on recor
Externí odkaz:
http://arxiv.org/abs/2108.12357
Structured Illumination Microscopy is a widespread methodology to image live and fixed biological structures smaller than the diffraction limits of conventional optical microscopy. Using recent advances in image up-scaling through deep learning model
Externí odkaz:
http://arxiv.org/abs/2009.02264
There is currently a gap in theory for point patterns that lie on the surface of objects, with researchers focusing on patterns that lie in a Euclidean space, typically planar and spatial data. Methodology for planar and spatial data thus relies on E
Externí odkaz:
http://arxiv.org/abs/2002.03674
Wavelets provide the flexibility to analyse stochastic processes at different scales. Here, we apply them to multivariate point processes as a means of detecting and analysing unknown non-stationarity, both within and across data streams. To provide
Externí odkaz:
http://arxiv.org/abs/1908.02634
Autor:
Taleb, Youssef, Cohen, Edward A. K.
We take a wavelet based approach to the analysis of point processes and the estimation of the first order intensity under a continuous time setting. A multiresolution analysis of a point process is formulated which motivates the definition of homogen
Externí odkaz:
http://arxiv.org/abs/1803.11202
Correcting the estimator for the mean vectors in a multivariate errors-in-variables regression model
The multivariate errors-in-variables regression model is applicable when both dependent and independent variables in a multivariate regression are subject to measurement errors. In such a scenario it is long established that the traditional least squ
Externí odkaz:
http://arxiv.org/abs/1510.03600
Akademický článek
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Autor:
Taleb, Youssef1 (AUTHOR), Cohen, Edward A. K.1 (AUTHOR) e.cohen@imperial.ac.uk
Publikováno v:
Annals of the Institute of Statistical Mathematics. Apr2021, Vol. 73 Issue 2, p395-423. 29p.