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- Effects of variable viscosity and variable permeability on fluid flow through porous media
- Author(s):
- Alharbi
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2016
- Type:
- Thesis / Dissertation
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- In this work, we study the effects of variable viscosity and variable permeability on single-phase fluid flow through porous...
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- Multi-patch Laplace dispersal across biased interfaces
- Author(s):
- Beykzadeh
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2019
- Type:
- Thesis / Dissertation
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- In the study of the dispersal of species across a landscape, most previous models approximate heterogeneous landscapes by a...
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- Dynamics of a pathogen-immune interaction model
- Author(s):
- Alshobrami
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2013
- Type:
- Thesis / Dissertation
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- A new mathematical model is proposed to describe the interaction between the virus and the immune cells in an HIV infected...
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- A Poisson mixed modeling approach to longitudinal multinomial data of varying cluster sizes
- Author(s):
- Fu
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2020
- Type:
- Thesis / Dissertation
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- Longitudinal studies and categorical data analysis are commonly used in many areas, such as medicine, public health, and...
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- Multiplicative binary mixed models with application to spatial analysis of Atlantic cod data
- Author(s):
- Zhao
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2021
- Type:
- Thesis / Dissertation
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- In many subject areas, various phenomena can be characterized by a binary variable that describes two opposing outcomes....
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- Joint generalized nonlinear mixed models for longitudinal data
- Author(s):
- Haque
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2020
- Type:
- Thesis / Dissertation
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- Joint modeling of multiple longitudinal responses enables us to account for the association between them and is thus more...
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- Machine learning implementations in baseball: an algorithmic prediction of the next pitch
- Author(s):
- Morehouse
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2020
- Type:
- Thesis / Dissertation
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- Machine Learning (ML) has recently begun gaining traction in the statistical analysis of baseball. Major League Baseball (MLB...
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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
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- Recently, statisticians are very interested in developing new methods for the data with different responses types. The...
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- 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
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- The current statistical modeling of coronavirus (COVID-19) spread has mainly focused on spreading patterns and forecasting of...
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- Spatial Tweedie mixed models
- Author(s):
- Pellegrini
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2020
- Type:
- Thesis / Dissertation
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- We propose a new class of Tweedie mixed models applied to hierarchical spatial data that can model discrete, continuous and...
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- Outer approximations of core points for integer programming
- Author(s):
- Shahverdizadeh Shargh
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2021
- Type:
- Thesis / Dissertation
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- The main objective of this thesis is to develop some new algorithms for solving some hard symmetric integer linear programs ...
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- An algebraic approach to group equivariant neural networks
- Author(s):
- Hennick
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2021
- Type:
- Thesis / Dissertation
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- In recent years, two distinct paradigms have been emerging in machine learning. The first is the “data driven” paradigm which...
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- Equivariant KK-theory and its application in index theory
- Author(s):
- Abdolmaleki
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2022
- Type:
- Thesis / Dissertation
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- In this thesis, using the calculation of a couple of Kasparov products of asymptotically equivariant cycles, we find the...
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- Flow through and over porous layers of variable thicknesses and variable permeability
- Author(s):
- Zaytoon
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2015
- Type:
- Thesis / Dissertation
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- Single-phase fluid flow through variable permeability porous layers is considered. The variable permeability layers are...
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- Aspects of modified gravity
- Author(s):
- Rahmati
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2017
- Type:
- Thesis / Dissertation
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- To date, General Relativity provides the best description of the gravitational interaction. It can accurately describe the...
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- Assessing oncolytic viral therapy and its barriers: a mathematical approach
- Author(s):
- Jahedi
- Discipline:
- Mathematics & Statistics
- Discipline:
- Mathematics & Statistics
- Date:
- 2022
- Type:
- Thesis / Dissertation
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- Oncolytic viral therapy is a targeted therapy in which natural or genetically modified viruses are used specifically to...
