Results 31 to 40 of about 945,466 (294)
Analyzing Multiple Nonlinear Time Series with Extended Granger Causality [PDF]
, 2004 Identifying causal relations among simultaneously acquired signals is an important problem in multivariate time series analysis. For linear stochastic systems Granger proposed a simple procedure called the Granger causality to detect such relations.
Arnhold +28 more
core +2 more sources
Nonlinear time series analysis of geomagnetic pulsations [PDF]
Nonlinear Processes in Geophysics, 1994 A detailed nonlinear time series analysis has been made of two daytime geomagnetic pulsation events being recorded at L'Aquila (Italy, L ≈ 1.6) and Niemegk (Germany, L ≈ 2.3).
Z. Vörös, J. Verö, J. Kristek
doaj
Non-linear auto-regressive models for cross-frequency coupling in neural time series. [PDF]
PLoS Computational Biology, 2017 We address the issue of reliably detecting and quantifying cross-frequency coupling (CFC) in neural time series. Based on non-linear auto-regressive models, the proposed method provides a generative and parametric model of the time-varying spectral ...
Tom Dupré la Tour +6 more
doaj +1 more source
Applied Sciences, 2022 Objective: Converging evidence supporting an effect of transcranial direct current stimulation (tDCS) on postural control and human verticality perception highlights this strategy as promising for post-stroke rehabilitation.
Diandra B. Favoretto +10 more
doaj +1 more source
Asymptotic spectral theory for nonlinear time series
, 2007 We consider asymptotic problems in spectral analysis of stationary causal processes. Limiting distributions of periodograms and smoothed periodogram spectral density estimates are obtained and applications to the spectral domain bootstrap are given ...
Shao, Xiaofeng, Wu, Wei Biao
core +2 more sources
Nonlinear time-series analysis of Hyperion's lightcurves [PDF]
, 2015 Hyperion is a satellite of Saturn that was predicted to remain in a chaotic rotational state. This was confirmed to some extent by Voyager 2 and Cassini series of images and some ground-based photometric observations. The aim of this aticle is to explore
A. Celletti +37 more
core +2 more sources
Surrogate-assisted network analysis of nonlinear time series
, 2016 The performance of recurrence networks and symbolic networks to detect weak nonlinearities in time series is compared to the nonlinear prediction error. For the synthetic data of the Lorenz system, the network measures show a comparable performance.
Christoph Räth +6 more
core +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Sensors, 2022 Photoplethysmography is a widely used technique to noninvasively assess heart rate, blood pressure, and oxygen saturation. This technique has considerable potential for further applications—for example, in the field of physiological and mental health ...
Nina Sviridova +3 more
doaj +1 more source
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source