Titlebook: Advances in Time Series Analysis and Forecasting; Selected Contributio Ignacio Rojas,Héctor Pomares,Olga Valenzuela Conference proceedings

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书目名称Advances in Time Series Analysis and Forecasting影响因子(影响力)




书目名称Advances in Time Series Analysis and Forecasting影响因子(影响力)学科排名




书目名称Advances in Time Series Analysis and Forecasting网络公开度




书目名称Advances in Time Series Analysis and Forecasting网络公开度学科排名




书目名称Advances in Time Series Analysis and Forecasting被引频次




书目名称Advances in Time Series Analysis and Forecasting被引频次学科排名




书目名称Advances in Time Series Analysis and Forecasting年度引用




书目名称Advances in Time Series Analysis and Forecasting年度引用学科排名




书目名称Advances in Time Series Analysis and Forecasting读者反馈




书目名称Advances in Time Series Analysis and Forecasting读者反馈学科排名

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and ,: Drivers of the Resilience of a Polynesian Coral Reefmost diverse on Earth. Long-term data series are increasingly needed to understand and evaluate the consequences of such pressures on ecosystems. This 30-years monitoring program allowed a description of the ability of the coral reef of Tiahura (French Polynesia) to recover after two main coral cove

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背叛者

Using LDA and Time Series Analysis for Timestamping Documentscould also shed some light into identifying the realities of the human society during different periods of time. In this paper, we present an attempt to estimate the publication date of books based on the time series analysis of their content. The main assumption of this experiment is that the subje

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Fractal Complexity of the Spanish Index IBEX 35s. We look for similarities and differences between the Spanish index and the markets chosen, from a self-affine perspective. For it we compute fractal parameters which provide an indication of the erraticity of the data. We perform inference statistical tests, in order to elucidate if the computed

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Fractional Brownian Motion in OHLC Crude Oil Pricese use of techniques like fundamental analysis and technical analysis, and the methods used are from all branches of mathematical sciences. Recently the fractional Brownian motion has found its way to many applications. In this paper fractional Brownian motion is studied in connection with financial

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Time-Frequency Representations as Phase Space Reconstruction in Symbolic Recurrence Structure Analysentify recurrence domains in the signal. This method allows to obtain a symbolic representation of the data. Recurrence analysis produces valid results for multidimensional data, however, in the case of univariate time series one should perform phase space reconstruction first. In this chapter, we p

radiograph

Analysis of Climate Dynamics Across a European Transect Using a Multifractal Method transect. Meteorological time series were divided into the two subsets (1980–2001 and 2002–2010) and respective spectra of these subsets were compared to check whether changes in climate dynamics can be observed using MF-DFA. Additionally, corresponding shuffled and surrogate time series were inves

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Protein

SARMA Time Series for Microscopic Electrical Load Modelinghould participate in the effort of making the grid smarter through active management strategies such as storage or demand response. These considerations involve to model electrical quantities as locally as possible and on a sequential basis. This paper explores the possibility to model . (individual