Now showing items 41-60 of 321

    • Composite likelihood for aggregate data from clustered multistate processes under intermittent observation 

      Jiang, Shu; Cook, Richard J. (Taylor & Francis, 2019-03-11)
      Markov processes offer a useful basis for modeling the progression of organisms through successive stages of their life cycle. When organisms are examined intermittently in developmental studies, likelihoods can be constructed ...
    • Composite likelihood for joint analysis of multiple multistate processes via copulas 

      Cook, Richard J.; Diao, Liqun (Oxford Journals, 2014-10)
      A copula-based model is described which enables joint analysis of multiple progressive multistate processes. Unlike intensity-based or frailty-based approaches to joint modeling, the copula formulation proposed herein ...
    • Compressions of Compact Tuples 

      Passer, Benjamin; Shalit, Orr (Elsevier, 2019-03-01)
      We study the matrix range of a tuple of compact operators on a Hilbert space and examine the notions of minimal, nonsingular, and fully compressed tuples. In this pursuit, we refine previous results by characterizing ...
    • Computing lower rank approximations of matrix polynomials 

      Giesbrecht, Mark; Haraldson, Joseph; Labahn, George (Elsevier, 2020-05)
      Given an input matrix polynomial whose coefficients are floating point numbers, we consider the problem of finding the nearest matrix polynomial which has rank at most a specified value. This generalizes the problem of ...
    • Concatenating Bipartite Graphs 

      Chudnovsky, Maria; Hompe, Patrick; Scott, Alex; Seymour, Paul; Spirkl, Sophie (The Electronic Journal of Combinatorics, 2022)
      Let x, y E (0, 1], and let A, B, C be disjoint nonempty stable subsets of a graph G, where every vertex in A has at least x |B| neighbors in B, and every vertex in B has at least y|C| neighbors in C, and there are no edges ...
    • A conceptual IoT-based early-warning architecture for remote monitoring of COVID-19 patients in wards and at home 

      Paganelli, Antonio Iyda; Velmovitsky, Pedro Elkind; Miranda, Pedro; Branco, Adriano; Alencar, Paulo; Cowan, Donald; Endler, Markus; Morita, Plinio Pelegrini (Elsevier, 2022-05)
      Due to the COVID-19 pandemic, health services around the globe are struggling. An effective system for monitoring patients can improve healthcare delivery by avoiding in-person contacts, enabling early-detection of severe ...
    • Constrained-CNN losses for weakly supervised segmentation 

      Kervadec, Hoel; Dolz, Jose; Tang, Meng; Granger, Eric; Boykov, Yuri; Ben Ayed, Ismail (Elsevier, 2019-05)
      Weakly-supervised learning based on, e.g., partially labelled images or image-tags, is currently attracting significant attention in CNN segmentation as it can mitigate the need for full and laborious pixel/voxel annotations. ...
    • Constraint bubbles and affine regions: reduced fluid models for efficient immersed bubbles and flexible spatial coarsening 

      Goldade, Ryan; Aanjaneya, Mridul; Batty, Christopher (Association for Computing Machinery, 2020-07)
      We propose to enhance the capability of standard free-surface flow simulators with efficient support for immersed bubbles through two new models: constraint-based bubbles and affine fluid regions. Unlike its predecessors, ...
    • Continuous approximation of linear impulsive systems and a new form of robust stability 

      Church, Kevin E. M.; Smith, Robert J. (Elsevier, 2018-01-01)
      The time-scale tolerance for linear ordinary impulsive differential equations is introduced. How large the time-scale tolerance is directly reflects the degree to which the qualitative dynamics of the linear impulsive ...
    • Continuum Foam: A Material Point Method for Shear-Dependent Flows 

      Yue, Yonghao; Smith, Breannan; Batty, Christopher; Zheng, Changxi; Grinspun, Eitan (Association for Computing Machinery, 2015-10-01)
      We consider the simulation of dense foams composed of microscopic bubbles, such as shaving cream and whipped cream. We represent foam not as a collection of discrete bubbles, but instead as a continuum. We employ the ...
    • Control of the Landau–Lifshitz equation 

      Chow, Amenda; Morris, Kirsten (Elsevier, 2016-05)
      The Landau–Lifshitz equation describes the dynamics of magnetization inside a ferromagnet. This equation is nonlinear and has an infinite number of stable equilibria. It is desirable to control the system from one equilibrium ...
    • Controlling the workload of M/G/1 queues via the q-policy 

      Drekic, Steve; Fajardo, Val Andrei (Elsevier, 2015-06-01)
      We consider a single-server queueing system with Poisson arrivals and generally distributed service times. To systematically control the workload of the queue, we define for each busy period an associated timer process, ...
    • Convective flow reversal in self-powered enzyme micropumps 

      Ortiz-Rivera, Isamar; Shum, Henry; Agrawal, Arjun; Sen, Ayusman; Balazs, Anna C. (Proceedings of the National Academy of Sciences, 2016-02-22)
      Surface-bound enzymes can act as pumps that drive large-scale fluid flows in the presence of their substrates or promoters. Thus, enzymatic catalysis can be harnessed for "on demand" pumping in nano-and microfluidic devices ...
    • A copula model for marked point processes 

      Diao, Liqun; Cook, Richard J.; Lee, Ker-Ai (Springer, 2013)
      Many chronic diseases feature recurring clinically important events. In addition, however, there often exists a random variable which is realized upon the occurrence of each event reflecting the severity of the event, a ...
    • Cost-Effectiveness Evaluation Of Quadrivalent Influenza Vaccines For Seasonal Influenza Prevention: A Dynamic Modeling Study Of Canada And The United Kingdom 

      Thommes, Edward W.; Ismaila, Afisi; Chit, Ayman; Meier, Genevieve; Bauch, Chris T. (BioMed Central, 2015-10-27)
      Background: The adoption of quadrivalent influenza vaccine (QIV) to replace trivalent influenza vaccine (TIV) in immunization programs is growing worldwide, thus helping to address the problem of influenza B lineage mismatch. ...
    • Could The Human Papillomavirus Vaccines Drive Virulence Evolution? 

      Murall, Carmen Lia; Bauch, Chris T.; Day, Troy (Royal Society, The, 2015-01-07)
      The human papillomavirus (HPV) vaccines hold great promise for preventing several cancers caused by HPV infections. Yet little attention has been given to whether HPV could respond evolutionarily to the new selection ...
    • A Counterexample to a Conjecture About Triangle-Free Induced Subgraphs of Graphs with Large Chromatic Number 

      Carbonero, Alvaro; Hompe, Patrick; Moore, Benjamin; Spirkl, Sophie (Elsevier ScienceDirect, 2023-01)
      We prove that for every n, there is a graph G with χ(G) ≥ n and ω(G) ≤ 3 such that every induced subgraph H of G with ω(H) ≤ 2 satisfies χ(H) ≤ 4.This disproves a well-known conjecture. Our construction is a digraph with ...
    • Coupled Human-Environment Dynamics Of Forest Pest Spread And Control In A Multi-Patch, Stochastic Setting 

      Ali, Qasim; Bauch, Chris T.; Anand, Madhur (Public Library of Science, 2015-10-02)
      Background The transportation of camp firewood infested by non-native forest pests such as Asian long-horned beetle (ALB) and emerald ash borer (EAB) has severe impacts on North American forests. Once invasive forest pests ...
    • Coupling Fishery Dynamics, Human Health And Social Learning In A Model Of Fish-Borne Pollution Exposure 

      Yodzis, Michael; Bauch, Chris T.; Anand, Madhur (Springer, 2016-03-01)
      Pollution-induced illnesses are caused by toxicants that result from human activity and are often entirely preventable. However, where industrial priorities have undermined responsible governance, exposed populations must ...
    • A Cox-Aalen model for interval-censored data 

      Cook, Richard J.; Boruvka, Audrey (Wiley, 2015-06)
      The Cox-Aalen model, obtained by replacing the baseline hazard function in the well-known Cox model with a covariate-dependent Aalen model, allows for both fixed and dynamic covariate effects. In this paper, we examine ...

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