Local Stationarity
Local Stationarity is a stochastic process model that belongs to the class of non-stationary time series frameworks, distinguished by its asymptotic resemblance to a stationary process over short time intervals when appropriately rescaled in time and space.
188
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10K
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345
Authors
222
Institutions
Publications per year
2017–2026
37
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188
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff, Joan Bruna, Yann LeCun · arXiv (Cornell University) · 2015 · 1.4K citations · Full text
Classes of kernels for machine learning: a statistics perspective
Marc G. Genton · 2002 · 637 citations
Massimo Campostrini, Andrea Pelissetto, Paolo Rossi et al. · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · 2002 · 255 citations · Full text
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Ruhr University Bochum
Bochum, Germany
9 h-index
19 publications
725 citations
Lancaster University
Lancaster, United Kingdom
4 h-index
11 publications
158 citations

University of Bristol
Bristol, United Kingdom
4 h-index
5 publications
281 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
11 publications
659 citations
Heidelberg University
Heidelberg, Germany
4 h-index
5 publications
295 citations
University of Cyprus
Nicosia, Cyprus
4 h-index
5 publications
173 citations
RWTH Aachen University
Aachen, Germany
4 h-index
7 publications
192 citations

Imperial College London
London, United Kingdom
3 h-index
6 publications
428 citations
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8 publications · 1.4K citations
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7 publications · 223 citations
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4 publications · 170 citations
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4 publications · 157 citations
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4 publications · 91 citations
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