Results 41 to 50 of about 20,293,735 (305)
Bermuda Atlantic Time-Series Study (BATS) Zooplankton Biomass
<p>The BATS (Bermuda Atlantic Time-series Study) zooplankton biomass dataset is time-series spanning from 1994 to 2022. The dataset contains zooplankton biomass measurements.</p><p>Due to an ambiguity with depth a subset of the dataset ...
Simons CMAP +1 more
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Fractional integration and cointegration in US financial time series data [PDF]
This paper examines several US monthly financial time series data using fractional integration and cointegration techniques. The univariate analysis based on fractional integration aims to determine whether the series are I(1) (in which case markets ...
Gil-Alana, Luis A. +5 more
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A Three-Stage Nonparametric Kernel-Based Time Series Model Based on Fuzzy Data
In this paper, a nonlinear time series model is developed for the case when the underlying time series data are reported by LR fuzzy numbers. To this end, we present a three-stage nonparametric kernel-based estimation procedure for the center as well as ...
Gholamreza Hesamian +2 more
doaj +1 more source
On predictability of time series [PDF]
The method to estimate the predictability of human mobility was proposed in [C. Song \emph{et al.}, Science {\bf 327}, 1018 (2010)], which is extensively followed in exploring the predictability of disparate time series. However, the ambiguous description in the original paper leads to some misunderstandings, including the inconsistent logarithm bases ...
Xu, Paiheng +3 more
openaire +2 more sources
Information theoretic results for stationary time series and the Gaussian-generalized von Mises time series [PDF]
This chapter presents some novel information theoretic results for the analysis of stationary time series in frequency domain. In particular, the spectral distribution that corresponds to the most uncertain or unpredictable time series with some values ...
Gatto, Riccardo
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Essays on Time Series Momentum
The three essays in this dissertation are all related to the topic of time series momentum. In the first essay, my co-authors and I introduce a cross-asset extension of time series momentum that we call cross-asset time series momentum.
Pitkäjärvi, Aleksi
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Time series momentum: Is it there?
Time series momentum (TSM) refers to the predictability of the past 12-month return on the next one-month return and is the focus of several recent influential studies. This paper shows that asset-by-asset time series regressions reveal little evidence of TSM, both in- and out-of-sample. While the t-statistic in a pooled regression appears large, it is
HUANG, Dashan +3 more
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PTB-M4D/time-series-metadata: v0.2.0
v0.2.0 (2023-08-01) Documentation <ul> <li><p>docs(Python version): upgrade Python versions from greater or equal 3.5 to greater or equal 3.7 (<a href="https://github.com/PTB-M4D/time-series-metadata/commit ...
Ludwig, Björn, Gruber, Maximilian
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Multivariate time series is a very active topic in the research community and many machine learning tasks are being used in order to extract information from this type of data. However, in real-world problems data has missing values, which may difficult the application of machine learning techniques to extract information. In this paper we focus on the
Samuel Arcadinho, Paulo Mateus
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Este artículo forma parte de las actas del "The 8th International Conference on Time Series and Forecasting."
Florian Combes +2 more
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