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: A joint mixed model for clustered binary and continuous outcomes
Author(s):: Xia
Discipline:: Mathematics & Statistics
Discipline:: Mathematics & Statistics
Date:: 2020
Type:: Thesis / Dissertation
: Recently, statisticians are very interested in developing new methods for the data with different responses types. The...

: Two level random coefficient longitudinal modelling of COVID-19 spreads in Italy
Author(s):: Hao
Discipline:: Mathematics & Statistics
Discipline:: Mathematics & Statistics
Date:: 2020
Type:: Thesis / Dissertation
: The current statistical modeling of coronavirus (COVID-19) spread has mainly focused on spreading patterns and forecasting of...

: An algebraic approach to group equivariant neural networks
Author(s):: Hennick
Discipline:: Mathematics & Statistics
Discipline:: Mathematics & Statistics
Date:: 2021
Type:: Thesis / Dissertation
: In recent years, two distinct paradigms have been emerging in machine learning. The first is the “data driven” paradigm which...

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