Results 11 to 20 of about 2,196,460 (253)
Contracts, Business Models and Barriers to Investing in Low Temperature District Heating Projects
Applied Sciences, 2019 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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Targeted model evaluations for climate services: A case study on heat waves in Bangladesh
Climate Risk Management, 2020 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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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
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Singular Spectrum Analysis of Tremorograms for Human Neuromotor Reaction Estimation
Mathematics, 2022 Singular spectrum analysis (SSA) is a method of time series analysis and is used in various fields, including medicine. A tremorogram is a biological signal that allows evaluation of a person’s neuromotor reactions in order to infer the state of the ...
Olga Bureneva +2 more
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Hybrid Time Series Method for Long-Time Temperature Series Analysis
Discrete Dynamics in Nature and Society, 2021 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
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
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Demonstrating the value of larger ensembles in forecasting physical systems
Tellus: Series A, Dynamic Meteorology and Oceanography, 2016 Ensemble simulation propagates a collection of initial states forward in time in a Monte Carlo fashion. Depending on the fidelity of the model and the properties of the initial ensemble, the goal of ensemble simulation can range from merely quantifying ...
Reason L. Machete, Leonard A. Smith
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Assessing pricing assumptions for weather index insurance in a changing climate
Climate Risk Management, 2014 Weather index insurance is being offered to low-income farmers in developing countries as an alternative to traditional multi-peril crop insurance. There is widespread support for index insurance as a means of climate change adaptation but whether or not
J.D. Daron, D.A. Stainforth
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Flexible Time Series Analysis [PDF]
, 2000 In this chapter we present nonparametric methods and available quantlets for nonlinear modelling of univariate time series. A general nonlinear time series model for an univariate stochastic process Y t t=1 T is given by the heteroskedastic nonlinear autoregressive (NAR) process $${Y_t} = f\left( {{Y_{t - i1}},{Y_{t - i2}}, \ldots ,{Y_{t - im ...
Härdle, Wolfgang, Tschernig, Rolf
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Economics: Journal Articles, 2019 Both mathematical modelling and simulation methods in general have contributed greatly to understanding, insight and forecasting in many fields including macroeconomics.
Thompson Erica L., Smith Leonard A.
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