Results 101 to 110 of about 2,530,237 (313)
Time Series Analysis Using Composite Multiscale Entropy
Entropy, 2013 Multiscale entropy (MSE) was recently developed to evaluate the complexity of time series over different time scales. Although the MSE algorithm has been successfully applied in a number of different fields, it encounters a problem in that the ...
Kung-Yen Lee +4 more
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On Consistency in Time Series Analysis
The Annals of Statistics, 1978 A number of statistics that arise in time series analysis can be represented as the sum of a partial realization of a possibly serially dependent and nonstationary discrete-parameter stochastic process. The almost sure and $L_p, p > 1$, convergence of such statistics is investigated, under various moment conditions. The results are applied to the least
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The Econometric Analysis of Economic Time Series
International Statistical Review / Revue Internationale de Statistique, 1983 AbstractThis overview proposes a general framework linking economic analysis to a reduction‐based statistical methodology based on parameter change, expectations and contingent plans, conditioning and weak exogeneity. Both long‐run economic theory and dynamic adjustment are discussed and general‐to‐specific modelling is linked to the theory of ...
Hendry, D, Richard, J
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Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
SIGNIFICANT VARIABLE SELECTION AND AUTOREGRESSIVE ORDER DETERMINATION FOR TIME-SERIES PARTIALLY LINEAR MODELS [PDF]
, 2014 This paper is concerned with the regression coefficient and autoregressive order shrinkage and selection via the smoothly clipped absolute deviation (SCAD) penalty for a partially linear model with time-series errors.
You, J +5 more
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Multiple Time Series Analysis [PDF]
, 2000 This chapter demonstrates how to use XploRe for specifying, estimating, and interpreting vector autoregressive (VAR) models. VAR modeling belongs to multiple time series analysis. It is one approach in econometrics to describe a system of more than one equation and was introduced by Sims (1980). The classical multi equation modeling (e.g. Dhrymes, 1978)
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Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Modelling Stabilometric Time Series [PDF]
, 2010 Stabilometry is a branch of medicine that studies balance-related human functions. Stabilometric systems generate time series. The analysis of these time series using data mining techniques can be very useful for domain experts.
Caraça-Valente Hernández, Juan Pedro +3 more
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Time averaging, ageing and delay analysis of financial time series
New Journal of Physics, 2017 We introduce three strategies for the analysis of financial time series based on time averaged observables. These comprise the time averaged mean squared displacement (MSD) as well as the ageing and delay time methods for varying fractions of the ...
Andrey G Cherstvy +4 more
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Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source