Essays about: "bivariate"
Showing result 16 - 20 of 145 essays containing the word bivariate.
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16. COVID-19 vaccine uptake among female students at Pwani University in Kilifi, Kenya
University essay from Örebro universitet/Institutionen för medicinska vetenskaperAbstract : Introduction: COVID-19 infection in pregnant women increases the risk for maternal complications and they are also more likely to suffer from more severe disease. Reasons for COVID-19 vaccine acceptance and hesitancy are well-studied in the general population. READ MORE
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17. School pressure and psychosomatic complaints among Swedish adolescents: does physical activity play a buffering role?
University essay from Stockholms universitet/Institutionen för folkhälsovetenskapAbstract : Aim: The aim of the study was to explore the association between school pressure and psychosomatic health complaints and the potentially moderating effect of physical activity in a Swedish cohort of adolescents.Method: Cross-sectional data from the Swedish Health Behavior in School-aged Children (HBSC) survey of 2017/2018 was used, with participants aged 11-15 (n=3,745). READ MORE
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18. Copula approach to fitting bivariate time series
University essay from Lunds universitet/Matematisk statistikAbstract : We apply the GARCH-copula method to estimate Value at Risk (VaR) for European and Stockholm stock indices. First, marginal distributions are estimated by the ARMA-GARCH model with normal, Student-t, and skewed t distributions. READ MORE
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19. A short bit on copulas and alternative versions of Spearmans rho
University essay from Lunds universitet/Matematisk statistikAbstract : This thesis aims to understand copula theory and its application in measuring dependence, particularly in the context of the paper "Multivariate conditional versions of Spearman’s rho and related measures of tail dependence" by Schmid and Schmidt. We clarify certain statements and formulas in Schmid and Schmidt's work, explore the potential of the conditional version of Spearman's rho, and demonstrate empirical versions of copulas and Spearman's rho using a bivariate normal distribution. READ MORE
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20. Hawkes Processes on Socialand Mass Media: : A Causal Study of the #BlackLivesMatter Movement inthe Summer of 2020
University essay from Uppsala universitet/Statistik, AI och data scienceAbstract : In this work we study interactions in social media and the reports in mass media during the Black LivesMatter (BLM) protests following the death of George Floyd. We implement open-source pipelines to process the data at scale and employ the self-exciting counting process known as Hawkes process to address our main question: is there a causal relation between interactions in social media and reports of street protests in mass media? Specifically, we use distributed label propagation to identify such interactions in Twitter, that supported the BLM movement, and compared the timing of these interaction to those of news reports of street protests mentioning George Floyd, via the Global Database of Events, Language, and Tone (GDELT) Project. READ MORE