Results 11 to 20 of about 162,558 (262)
Nonlinear time series models for the North Atlantic Oscillation [PDF]
Advances in Statistical Climatology, Meteorology and Oceanography, 2020 The North Atlantic Oscillation (NAO) is the dominant mode of climate variability over the North Atlantic basin and has a significant impact on seasonal climate and surface weather conditions.
T. Önskog +3 more
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Chaotic time series. Part II. System Identification and Prediction [PDF]
Modeling, Identification and Control, 1994 This paper is the second in a series of two, and describes the current state of the art in modeling and prediction of chaotic time series. Sample data from deterministic non-linear systems may look stochastic when analysed with linear methods.
Bjørn Lillekjendlie +2 more
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Eddies: Fluid Dynamical Niches or Transporters?–A Case Study in the Western Baltic Sea
Frontiers in Marine Science, 2019 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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NoLiTiA: An Open-Source Toolbox for Non-linear Time Series Analysis
Frontiers in Neuroinformatics, 2022 In many scientific fields including neuroscience, climatology or physics, complex relationships can be described most parsimoniously by non-linear mechanics.
Immo Weber +2 more
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Preface "Extreme Events: Nonlinear Dynamics and Time Series Analysis" [PDF]
Nonlinear Processes in Geophysics, 2011 No abstract available.
H. W. Rust, P. Yiou, B. D. Malamud
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Forecasting With Nonlinear Time Series Models [PDF]
SSRN Electronic Journal, 2010 AbstractThis article considers nonlinear forecasting models, such as switching-regime models. These models are typically “small” compared to vector autoregressive and factor models, being either univariate or single-equation models, but tend to nest a linear relationship and so invite an assessment of whether allowing for nonlinearity improves forecast
Timo Terasvirta, Anders Bredahl Kock
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Model-free prognostication of non-linear time series
PLoS ONEObjectiveThe COVID-19 pandemic has highlighted the importance of studying the course of infectious progression. Similar needs exist for time series of other origins.
Xiaoyong Wu +2 more
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Control Charts for Multivariate Nonlinear Time Series
Revstat Statistical Journal, 2015 In this paper control charts for the simultaneous monitoring of the means and the variances of multivariate nonlinear time series are introduced. The underlying target process is assumed to be a constant conditional correlation process (cf. [3]).
Robert Garthoff +2 more
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Kernel Methods for Nonlinear Connectivity Detection
Entropy, 2019 In this paper, we show that the presence of nonlinear coupling between time series may be detected using kernel feature space F representations while dispensing with the need to go back to solve the pre-image problem to gauge model adequacy.
Lucas Massaroppe, Luiz A. Baccalá
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Estimation of Right-censored SETAR-type Nonlinear Time-series Model [PDF]
E3S Web of Conferences, 2023 This paper focuses on estimating the Self-Exciting Threshold Autoregressive (SETAR) type time-series model under right-censored data. As is known, the SETAR model is used when the underlying function of the relation-ship between the time-series itself ...
Ahmed Syed Ejaz +2 more
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