Results 11 to 20 of about 10,025,866 (332)
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
doaj +3 more sources
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 +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 +4 more
core +1 more source
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 +3 more
doaj +1 more source
Language Time Series Analysis [PDF]
, 2006 We use the Detrended Fluctuation Analysis (DFA) and the Grassberger-Proccacia analysis (GP) methods in order to study language characteristics. Despite that we construct our signals using only word lengths or word frequencies, excluding in this way huge ...
Abrams +41 more
core +2 more sources
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 +1 more
doaj +1 more source
Frontiers in Physics, 2021 Time irreversibility of a time series, which can be defined as the variance of properties under the time-reversal transformation, is a cardinal property of non-equilibrium systems and is associated with predictability in the study of financial time ...
Ryutaro Mori, Ruiyun Liu, Yu Chen
doaj +1 more source
Time Series Compression Survey
ACM Computing Surveys, 2023 Smart objects are increasingly widespread and their ecosystem, also known as the Internet of Things (IoT), is relevant in many application scenarios. The huge amount of temporally annotated data produced by these smart devices demands efficient techniques for the transfer and storage of time series data.
Chiarot, Giacomo, Silvestri, Claudio
openaire +3 more sources
Entropy, 2023 Time series are sequentially observed data in which important information about the phenomenon under consideration is contained not only in the individual observations themselves, but also in the way these observations follow one another [...]
Christian H. Weiß
doaj +1 more source
Mandelbrot's Stochastic Time Series Models
Earth and Space Science, 2019 I survey and illustrate the main time series models that Mandelbrot introduced into time series analysis in the 1960s and 1970s. I focus particularly on the members of the additive fractional stable family including Lévy flights and fractional Brownian ...
N. W. Watkins
doaj +1 more source