Results 11 to 20 of about 10,097,276 (285)

Time Series Modelling [PDF]

Entropy, 2021
Time series consist of data observed sequentially in time, and they are assumed to stem from an underlying stochastic process [...]
Christian H. Weiß
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Surrogate time series

Physica D: Nonlinear Phenomena, 2000
28 pages, 23 figures, software at http://www.mpipks-dresden.mpg.de ...
Schreiber, Thomas, Schmitz, Andreas
openaire   +6 more sources

Multifractality in time series [PDF]

Journal of Physics A: Mathematical and General, 2000
22 pages, Revtex, 4 ps figures - To appear J. Phys. A (2000)
, Anderson P W, Baumol W J, Caldarelli G, Canessa E, Champenowne D G, Clements D L, Cont R, Enrique Canessa, Feigenbaum J A, Feigenbaum J A, Gallucio S, Ghashghaie S, Gluzman S, Henderson J V, Ilinsky K, Kesten H, Krouglov A, Mandelbrot B B, Mantegna R, Mantegna R, Meakin P, Nagatani T, Potters M, Prohorov Yu V, Sharpe W F, Sornette D, Sornette D, Sornette D, Thirkettle G L   +29 more
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Time for Time Series [PDF]

Oceanography, 2013
In this issue of Oceanography, Holliday and Cunningham (2013) extol the significance of long-term data sets in understanding the marine environment and, in particular, climate change.
Simon Boxall
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Time and memory in time series analysis [PDF]

Epidemiologia e Serviços de Saúde, 2023
Flávia Reis de Andrade, José Leopoldo Ferreira Antunes   +1 more
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Approximations of Time Series [PDF]

ISRN Applied Mathematics, 2011
A method is proposed to approximate the main features or patterns including interventions that may occur in a time series. Collision data from the Ontario Ministry of Transportation illustrate the approach using monthly collision counts from police reports over a 10-year period from 1990 to 1999.
M. Brackstone, A. S. Deakin
openaire   +2 more sources

Time Series Sampling

The 8th International Conference on Time Series and Forecasting, 2022
Este artículo forma parte de las actas del "The 8th International Conference on Time Series and Forecasting."
Florian Combes, Ricardo Fraiman, Badih Ghattas   +2 more
openaire   +2 more sources

Implementation of quasi-static time series simulations for analysis of the impact of electric vehicles on the grid [PDF]

, 2019
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Allenspach, Cyril Armand, Hogger, Reto, Korba, Petr, Obusevs, Artjoms, Reist, Helen   +4 more
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Efficient Bayesian inference for natural time series using ARFIMA processes [PDF]

Nonlinear Processes in Geophysics, 2015
Many geophysical quantities, such as atmospheric temperature, water levels in rivers, and wind speeds, have shown evidence of long memory (LM). LM implies that these quantities experience non-trivial temporal memory, which potentially not only enhances ...
T. Graves, R. B. Gramacy, C. L. E. Franzke, N. W. Watkins   +3 more
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A Parametric Factor Model of the Term Structure of Mortality

Econometrics, 2019
The prototypical Lee–Carter mortality model is characterized by a single common time factor that loads differently across age groups. In this paper, we propose a parametric factor model for the term structure of mortality where multiple factors are
Niels Haldrup, Carsten P. T. Rosenskjold   +1 more
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