Results 21 to 30 of about 174,276,385 (305)
Capturing asymmetry in COVID-19 counts using an improved skewness measure for time series data
MethodsX, 2023 Capturing asymmetry among time series is an important area of research as it provides a range of information regarding the behaviour and distribution of the underlying series, which in turn proves to be useful for prediction.
Sudeep R. Bapat
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Latent Gaussian Count Time Series [PDF]
Journal of the American Statistical Association, 2021 Two previous versions of this paper appeared on arxiv under the title, the first under the title "Latent Gaussian Count Time Series Modeling" and the second under the title "Count Time Series Modeling with Gaussian Copulas"
Jia, Yisu +4 more
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Sample size issues in time series regressions of counts on environmental exposures
BMC Medical Research Methodology, 2020 Background Regression analyses of time series of disease counts on environmental determinants are a prominent component of environmental epidemiology.
Ben G. Armstrong +3 more
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Estimation of missing data in a geophysical series of precipitation
, 2021 The analysis of dynamic systems is a topic of great interest in the basic sciences since it allows direct inference of the behavior of different systems. The study of physical phenomena provides large databases that, if recorded at regular time intervals,
GALLARDO PÉREZ, HENRY DE JESÚS +5 more
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Model selection for time series of count data [PDF]
Computational Statistics & Data Analysis, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Naif Alzahrani +4 more
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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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A new time-varying coefficient regression approach for analyzing infectious disease data
Scientific Reports, 2023 Since the beginning of the global pandemic of Coronavirus (SARS-COV-2), there has been many studies devoted to predicting the COVID-19 related deaths/hospitalizations. The aim of our work is to (1) explore the lagged dependence between the time series of
Juxin Liu +6 more
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Poisson regression charts for the monitoring of surveillance time series [PDF]
, 2006 This paper presents a Poisson control chart for monitoring time series of counts typically arising in the surveillance of infectious diseases. The in-control mean is assumed to be time-varying and linear on the log-scale with intercept and seasonal ...
Höhle, Michael
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Gene-level counts for entire time-series and transcriptome.
, 2023 Gene-level counts for entire time-series and transcriptome.
Keith J. Edwards (6259301) +3 more
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A Systematic Review of INGARCH Models for Integer-Valued Time Series
Entropy, 2023 Count time series are widely available in fields such as epidemiology, finance, meteorology, and sports, and thus there is a growing demand for both methodological and application-oriented research on such data.
Mengya Liu +3 more
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