Results 11 to 20 of about 66,118 (249)
Multiscale influenza forecasting [PDF]
Nature Communications, 2021 AbstractInfluenza forecasting in the United States (US) is complex and challenging due to spatial and temporal variability, nested geographic scales of interest, and heterogeneous surveillance participation. Here we present Dante, a multiscale influenza forecasting model that learns rather than prescribes spatial, temporal, and surveillance data ...
Dave Osthus, Kelly R. Moran
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Applied Intelligence, 2022 Machine learning methods have greatly changed science, engineering, finance, business, and other fields. Despite the tremendous accomplishments of machine learning and deep learning methods, many challenges still remain. In particular, the performance of machine learning methods is often severely affected in case of diverse data, usually associated ...
Ekaterina Merkurjev +2 more
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Multiscale Quantile Segmentation [PDF]
Journal of the American Statistical Association, 2021 We introduce a new methodology for analyzing serial data by quantile regression assuming that the underlying quantile function consists of constant segments. The procedure does not rely on any distributional assumption besides serial independence.
Jula Vanegas, Laura +2 more
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Proceedings of the National Academy of Sciences, 2001 Multiscale computing (MSC) involves the computation, manipulation, and analysis of information at different resolution levels. Widespread use of MSC algorithms and the discovery of important relationships between different approaches to implementation were catalyzed, in part, by the recent interest in wavelets.
M, Kobayashi, T, Irino, W, Sweldens
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MULTISCALE TREND ANALYSIS [PDF]
Fractals, 2004 This paper introduces a multiscale analysis based on optimal piecewise linear approximations of time series. An optimality criterion is formulated, and on its base, a computationally effective algorithm is constructed for decomposition of a time series into a hierarchy of trends (local linear approximations) at different scales.
Zaliapin, Ilya +2 more
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Multiscale substitution tilings [PDF]
Proceedings of the London Mathematical Society, 2021 49 pages, 14 figures. Revision after the referee report. The lower bound on the discrepancy in chapter 8 has been improved.
Smilansky, Yotam, Solomon, Yaar
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Multiscale Granger causality [PDF]
Physical Review E, 2017 In the study of complex physical and biological systems represented by multivariate stochastic processes, an issue of great relevance is the description of the system dynamics spanning multiple temporal scales. While methods to assess the dynamic complexity of individual processes at different time scales are well-established, multiscale analysis of ...
Faes L. +3 more
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Entropy, 2021 Multiscale thermodynamics is a theory of the relations among the levels of investigation of complex systems. It includes the classical equilibrium thermodynamics as a special case, but it is applicable to both static and time evolving processes in externally and internally driven macroscopic systems that are far from equilibrium and are investigated at
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Journal of Non-Equilibrium Thermodynamics, 2023 Abstract Boltzmann kinetic equation is put into the form of an abstract time evolution equation representing links connecting autonomous mesoscopic dynamical theories involving varying amount of details. In the chronological order we present results that led to the abstract time equation evolution in both state space and the space of ...
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Multiscale systematic risk [PDF]
Journal of International Money and Finance, 2005 Abstract In this paper we propose a new approach to estimating systematic risk (the beta of an asset). The proposed method is based on a wavelet multiscaling approach that decomposes a given time series on a scale-by-scale basis. The empirical results from different economies show that the relationship between the return of a portfolio and its beta ...
Gencay, R., Selcuk, F., Whitcher, B.
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