Results 21 to 30 of about 39,145,954 (311)
Estimation of missing data in a geophysical series of precipitation
The analysis of dynamic systems is a topic of great interest in the basic sciences since it allows direct inference of the behavior of different systems. The study of physical phenomena provides large databases that, if recorded at regular time intervals,
GALLARDO PÉREZ, HENRY DE JESÚS +5 more
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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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Demonstrating the value of larger ensembles in forecasting physical systems
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
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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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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findstructureintime/Time-Series-Analysis v0.0.1
This is the github repository containing the four Matlab code modules with sample examples introduced in the paper, Finding Structure in Time: Visualizing and Analyzing Behavioral Time ...
Tian Linger Xu
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Polynomial Regressions and Nonsense Inference
Polynomial specifications are widely used, not only in applied economics, but also in epidemiology, physics, political analysis and psychology, just to mention a few examples.
Daniel Ventosa-Santaulària +1 more
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Investor Sentiment Measurement and Time Series Analysis [PDF]
Investor sentiment is one of the destabilizing factors in the stock market. In the past, some scholars have proposed models for the measurement of emotions. On this basis, this paper selects 9 factors (closed-end fund discount rate, trading volume of the
Bai Yuchen
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Visibility Graph Based Time Series Analysis. [PDF]
Network based time series analysis has made considerable achievements in the recent years. By mapping mono/multivariate time series into networks, one can investigate both it's microscopic and macroscopic behaviors. However, most proposed approaches lead
Mutua Stephen, Changgui Gu, Huijie Yang
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Eddies: Fluid Dynamical Niches or Transporters?–A Case Study in the Western Baltic Sea
Fluid flows in the ocean have a strong impact on the growth and distribution of planktonic communities. In this case study, we applied a Lagrangian eddy detection and tracking tool and a transfer operator approach to data from a coupled hydrodynamical ...
Rahel Vortmeyer-Kley +5 more
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