Results 21 to 30 of about 10,039,445 (243)
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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Oceanography, 2013 In this issue of Oceanography, Holliday and Cunningham (2013) extol the significance of long-term data sets in understanding the marine environment and, in particular, climate change.
Simon Boxall
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Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data [PDF]
, 2017 Similarity-based approaches represent a promising direction for time series analysis. However, many such methods rely on parameter tuning, and some have shortcomings if the time series are multivariate (MTS), due to dependencies between attributes, or ...
Bianchi, Filippo Maria +3 more
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Explainable Time Series Tree: An Explainable Top-Down Time Series Segmentation Framework
IEEE Access, 2023 A wide range of Machine Learning algorithms can model time series to address classification, forecasting, and clustering problems. However, time series may exhibit characteristics that complicate these tasks, such as repeating patterns and seasonal ...
Vitor de Castro Silva +3 more
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Multiscale reconstruction of time series [PDF]
, 2006 A new method is proposed which allows a reconstruction of time series based on higher order multiscale statistics given by a hierarchical process. This method is able to model the time series not only on a specific scale but for a range of scales.
A.P. Nawroth +18 more
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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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Predictive analytics beyond time series: Predicting series of events extracted from time series data
Wind Energy, 2022 Realizing carbon neutral energy generation creates the challenge of accurately predicting time‐series generation data for long‐term capacity planning and for short‐term operational decisions.
Sambeet Mishra +3 more
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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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Real-Time Monitoring System for Shelf Life Estimation of Fruit and Vegetables
Sensors, 2020 The control of the main environmental factors that influence the quality of perishable products is one of the main challenges of the food industry.
Roque Torres-Sánchez +4 more
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A Three-Stage Nonparametric Kernel-Based Time Series Model Based on Fuzzy Data
Mathematics, 2023 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
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