Results 21 to 30 of about 13,606,645 (327)
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
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Targeted model evaluations for climate services: A case study on heat waves in Bangladesh
Though not a sufficient condition, the ability to reproduce key elements of climate variability over the historical record should be a minimum requirement for placing any confidence in a model’s climate forecasts or projections of climate change.
Hannah Nissan +2 more
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Time series analysis in environmental epidemiology: challenges and considerations
In environmental epidemiology, time series analyses represent a widely used statistical tool. However, though being commonly used, there is soften confusion regarding the specific requirements, such as which link function might be most appropriate, when ...
Sandra Gudziunaite +3 more
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Contracts, Business Models and Barriers to Investing in Low Temperature District Heating Projects
Approximately 1.2 EJ of energy are potentially available for recovery each year from urban heat sources in the EU. This corresponds to more than 10 percent of the EU’s total energy demand for heat and hot water.
Kristina Lygnerud +2 more
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EVALUATING THE IMPACT OF DATA.GOV.RO ON THE ACADEMIC RESEARCH [PDF]
In the context of the digital revolution, data is the most valuable resource which gains in value the more it is used. Freely available open source data and institutional data repositories encourage and connect, both academia and industry.
MIRICĂ ANDREEA, PETCU IONELA-ROXANA
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A Parametric Factor Model of the Term Structure of Mortality
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
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A new method for analysing nonlinear and non-stationary data has been developed. The key part of the method is the ‘empirical mode decomposition’ method with which any complicated data set can be decomposed into a finite and often small number of ...
Norden E. Huang +8 more
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Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis [PDF]
Multivariate Time Series (MTS) analysis is crucial to understanding and managing complex systems, such as traffic and energy systems, and a variety of approaches to MTS forecasting have been proposed recently.
Zezhi Shao +11 more
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Hybrid Time Series Method for Long-Time Temperature Series Analysis
This paper combines discrete wavelet transform (DWT), autoregressive moving average (ARMA), and XGBoost algorithm to propose a weighted hybrid algorithm named DWTs-ARMA-XGBoost (DAX) on long-time temperature series analysis.
Guangdong Huang, Jiahong Li
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Mandelbrot's Stochastic Time Series Models
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
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