Results 31 to 40 of about 19,312,029 (301)

ASYMPTOTICS FOR NONLINEAR TRANSFORMATIONS OF INTEGRATED TIME SERIES [PDF]

Econometric Theory, 1999
Summary: An asymptotic theory for stochastic processes generated from nonlinear transformations of nonstationary integrated time series is developed. Various nonlinear functions of integrated series such as ARIMA time series are studied, and the asymptotic distributions of sample moments of such functions are obtained and analyzed.
Peter C.B. Phillips, Joon Y. Park
openaire   +2 more sources

Higher order sigma point filter: A new heuristic for nonlinear time series filtering [PDF]

, 2013
In this paper we present some new results related to the higher order sigma point filter (HOSPoF), introduced in [1] for filtering nonlinear multivariate time series. This paper makes two distinct contributions.
Date, P, Ponomareva, K
core   +1 more source

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  

A skewed perspective of the Indian rainfall–El Niño–Southern Oscillation (ENSO) relationship [PDF]

Hydrology and Earth System Sciences, 2020
Wavelet coherence is a method that is commonly used in hydrology to extract scale-dependent, nonstationary relationships between time series. However, we show that the method cannot always determine why the time-domain correlation between two time series
J. Schulte, F. Policielli, B. Zaitchik
doaj   +1 more source

Inference for nonlinear epidemiological models using genealogies and time series. [PDF]

PLoS Computational Biology, 2011
Phylodynamics - the field aiming to quantitatively integrate the ecological and evolutionary dynamics of rapidly evolving populations like those of RNA viruses - increasingly relies upon coalescent approaches to infer past population dynamics from ...
David A Rasmussen, Oliver Ratmann, Katia Koelle   +2 more
doaj   +1 more source

Model selection for nonlinear time series [PDF]

Empirical Economics, 2004
We investigate the finite-sample performance of model selection criteria for local linear regression by simulation. Similarly to linear regression, the penalization term depends on the number of parameters of the model. In the context of nonparametric regression, we use a suitable quantity to account for the Equivalent Number of Parameters as ...
openaire   +2 more sources

Entropy measures as indicators of connectivity paths in the human brain

Scientific Reports
We develop an analytical framework that benefits from a set of information theory variables to study brain activity under different stimuli. fMRI signals from different brain regions are treated as time series, and information production as well as ...
Ania Mesa-Rodríguez, Ernesto Estevez-Rams, Holger Kantz   +2 more
doaj   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

Molecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński, Krzysztof Pastuszak, Anna Samelak‐Czajka, Zuzanna Cemka, Paulina Jackowiak, Tomasz Stefaniak, Sylwia Łapińska‐Szumczyk, Jacek Jassem, Anna J. Żaczek, Matthew T. Rondina, Myron G. Best, Sjors G. J. G. In 't Veld, Anna Supernat   +12 more
wiley   +1 more source

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, Lucille Tallot, Laetitia Grabot, Valérie Doyère, Virginie van Wassenhove, Yves Grenier, Alexandre Gramfort   +6 more
doaj   +1 more source