Results 71 to 80 of about 2,530,237 (313)
Flexible Time Series Analysis [PDF]
, 2000 In this chapter we present nonparametric methods and available quantlets for nonlinear modelling of univariate time series. A general nonlinear time series model for an univariate stochastic process Y t t=1 T is given by the heteroskedastic nonlinear autoregressive (NAR) process $${Y_t} = f\left( {{Y_{t - i1}},{Y_{t - i2}}, \ldots ,{Y_{t - im ...
Härdle, Wolfgang, Tschernig, Rolf
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
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Journal of Time Series Analysis [PDF]
During the last 30 years Time Series Analysis has become one of the most important and widely used branches of Mathematical Statistics. Its fields of application range from neurophysiology to astrophysics and it covers such well-known areas as economic ...
Cavaliere, Giuseppe
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EntropyThis study examines a cross-correlation analysis of companies included in the S&P 500 Index at three different intervals: before, during, and after the pandemic’s onset.
Janusz Miśkiewicz
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The Spectral Analysis of Time-Series
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1957 Summary (i) A review has been made of spectral analysis and its relation with other branches of time-series analysis. A detailed account has been given of the methods available for estimating the spectral density, the band spectrum and the integrated spectrum; suggestions have also been made for confidence intervals for the latter two ...
Jenkins, G. M., Priestley, M. B.
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Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
Time series regression studies in environmental epidemiology. [PDF]
, 2013 Time series regression studies have been widely used in environmental epidemiology, notably in investigating the short-term associations between exposures such as air pollution, weather variables or pollen, and health outcomes such as mortality ...
Smeeth, Liam +4 more
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Computer Sciences & Mathematics ForumEffective forecasting is vital in various domains as it supports informed decision-making and risk mitigation. This paper aims to improve the selection of appropriate forecasting methods for univariate time series.
Leonard Dervishi +2 more
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Expectation-maximization analysis of spatial time series [PDF]
Nonlinear Processes in Geophysics, 2007 Expectation maximization (EM) is used to estimate the parameters of a Gaussian Mixture Model for spatial time series data. The method is presented as an alternative and complement to Empirical Orthogonal Function (EOF) analysis.
K. W. Smith, A. L. Aretxabaleta
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