research-notes/rmd-header.tex at master · ErickChacon/research-notes · GitHub

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\doctype{Research Notes:}
\title{Introduction to Dynamic Spatio-Temporal Models}
\titleshort{Dynamic Spatio-Temporal Models}
\author{Erick A. Chacon-Montalvan\textsuperscript{1}, Erick A. Chacon-Montalvan\textsuperscript{2}, Erick A. Chacon-Montalvan\textsuperscript{3}, Erick A. Chacon-Montalvan\textsuperscript{3}}
\authorfoot{Research student: Erick A. Chacon-Montalvan}
\institute{\textsuperscript{1}\textit{CHICAS, Medical School, Lancaster University, Lancaster, United Kingdom}\\
\textsuperscript{2}\textit{CHICAS, Medical School, Lancaster University, Lancaster, United Kingdom}
}
\date{\today}
\abstract[Abstract:]{In the geometric distribution, $\theta$ represents the probability of succes in each trial. Furthermore, it should follow that $y$ is countable and greater than one. In general, in the negative binomial distribution, $y$ is the number of trials until get the $k$ first success. For this reason, the negative binomial distribution has certain assumptions considering that each event come from a Bernoulli distribution.(i) Each $x_i$ is independent of any.In the geometric distribution, $\theta$ represents the probability of succes in each trial. Furthermore, it should follow that $y$ is countable and greater than one. In general, in the negative binomial distribution, $y$ is the number of trials until get the $k$ first success. For this reason, the negative binomial distribution has certain assumptions considering that each event come from a Bernoulli distribution.(i) Each $x_i$ is independent of any.}
\keywords[Keywords:]{Spatio-temporal, Climate variability, Malaria prevalence, geostatistics, matern}

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