UMBC Mathematics and Statistics Department
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Variational Bayes Estimation of Hidden Markov Models for Daily Precipitation with Semi-Continuous Emissions
(UMBC HPCF, 2021)Stochastic precipitation generators can simulate dry and wet rainfall stretches for long durations. Generated precipitation time series data are used in climate projections, impact assessment of extreme weather events, ... -
Home Learning Environments for Young Children in the U.S. during COVID-19
(Taylor & Francis, 2021-06-27)Research Findings: During COVID-19 many countries, including the U.S., implemented stayat-home policies that closed most schools and childcare centers. This research focuses on the home learning environment reported by ... -
Race and other sociodemographic categories are differentially linked to multiple dimensions of interpersonal-level discrimination: Implications for intersectional, health research
(PLOS, 2021-05-19)Objectives To examine whether intersections of race with other key sociodemographic categories contribute to variations in multiple dimensions of race- and non-race-related, interpersonal-level discrimination and burden ... -
Simultaneous spectral decomposition in Euclidean Jordan algebras and related systems
(2021-03-12)This article deals with necessary and sufficient conditions for a family of elements in a Euclidean Jordan algebra to have simultaneous (order) spectral decomposition. Motivated by a well-known matrix theory result that ... -
Exploring Deep Learning to Improve Compton Camera Based Prompt Gamma Image Reconstruction for Proton Radiotherapy
(2021)Proton beam radiotherapy is a cancer treatment method that uses proton beams to irradiate cancerous tissue while simultaneously sparing doses to healthy tissue. In order to optimize radiational doses to the tumor and ... -
Lessons from an Online Multidisciplinary Undergraduate Summer Research Program
(2021)During 2018, 2019, and 2020, the UMBC CyberTraining initiative “Big Data + HPC + Atmospheric Sciences” created an online team-based training program for advanced graduate students and junior researchers that trained a ... -
A Penalty Decomposition Algorithm with Greedy Improvement for Mean-Reverting Portfolios with Sparsity and Volatility Constraints
(2021-04-16)Mean-reverting portfolios with few assets, but high variance, are of great interest for investors in financial markets. Such portfolios are straightforwardly profitable because they include a small number of assets whose ... -
Nonconvex, Fully Distributed Optimization based CAV Platooning Control under Nonlinear Vehicle Dynamics
(2021-04-18)CAV platooning technology has received considerable attention in the past few years, driven by the next generation smart transportation systems. Unlike most of the existing platooning methods that focus on linear vehicle ... -
Attraction–repulsion taxis mechanisms in a predator–prey model
(Springer Nature, 2021-04-14)We consider a predator–prey model where the predator population favors the prey through biased diffusion toward the prey density, while the prey population employs a chemical repulsive mechanism. This leads to a quasilinear ... -
Flipping the switch on the hub cell: Islet desynchronization through cell silencing
(PLOS, 2021-04-08)Pancreatic β cells, responsible for secreting insulin into the bloodstream and maintaining glucose homeostasis, are organized in the islets of Langerhans as clusters of electrically coupled cells. Gap junctions, connecting ... -
On the negative dependence inequalities and maximal score in round-robin tournament
We extend Huber's (1963) inequality for the joint distribution function of negative dependent scores in the round-robin tournament. As a byproduct, this extension implies convergence in probability of the maximal score in ... -
Fully Distributed Optimization based CAV Platooning Control under Linear Vehicle Dynamics
This paper develops distributed optimization based, platoon centered CAV car following schemes, motivated by the recent interest in CAV platooning technologies. Various distributed optimization or control schemes have been ... -
Weak Solutions for a Poro-elastic Plate System
(2021-03-16)We consider a recent plate model obtained as a scaled limit of the three dimensional Biot system of poro-elasticity. The result is a "2.5" dimensional linear system that couples traditional Euler-Bernoulli plate dynamics ... -
Team-Based Online Multidisciplinary Education on Big Data + High-Performance Computing + Atmospheric Sciences
(UMBC HPCF, 2020)Given the context of many institutions moving to online instruction due to the COVID-19 pandemic in 2020, we share our experiences of an online team-based multidisciplinary education program on big data + high performance ... -
State and parameter estimation from exact partial state observation in stochastic reaction networks
(2020-12-09)We consider chemical reaction networks modeled by a discrete state and continuous in time Markov process for the vector copy number of the species and provide a novel particle filter method for state and parameter estimation ... -
ModelingToolkit: A Composable Graph Transformation System For Equation-Based Modeling
Getting good performance out of numerical equation solvers requires that the user has provided stable and efficient functions representing their model. However, users should not be trusted to write good code. In this ... -
Nested Group Testing Procedures for Screening
This article reviews a class of adaptive group testing procedures that operate under a probabilistic model assumption as follows. Consider a set of N items, where item i has the probability p (pi in the generalized group ... -
A generalized model of flocking with steering
(2021-02-07)We introduce and analyze a model for the dynamics of flocking and steering of a finite number of agents. In this model, each agent's acceleration consists of flocking and steering components. The flocking component is a ... -
A High‐Dimensional Classification Rule Using Sample Covariance Matrix Equipped With Adjusted Estimated Eigenvalues
(Wiley Online Library, 2021-02-03)High‐dimensional classification have had challenges mainly due to the singularity issue of the sample covariance matrix. In this work, we propose a different approach to get a more reliable sample covariance matrix by ... -
On Surrogate Learning for Linear Stability Assessment of Navier-Stokes Equations with Stochastic Viscosity
(2021-02-28)We study linear stability of solutions to the Navier\textendash Stokes equations with stochastic viscosity. Specifically, we assume that the viscosity is given in the form of a~stochastic expansion. Stability analysis ...
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