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Minimal kernels of Dirac operators along maps Early View

  • Journal: Mathematische Nachrichten
  • Authors: Johannes Wittmann
  • Published Date: Feb 14, 2019

Abstract Let M be a closed spin manifold and let N be a closed manifold. For maps and Riemannian metrics g on M and h on N, we consider the Dirac operator of the twisted Dirac bundle . To this Dirac...

A matheuristic for the firefighter problem on graphs Early View

  • Journal: International Transactions in Operational Research
  • Authors: Natanael Ramos, Cid Carvalho de Souza, Pedro Jussieu de Rezende
  • Published Date: Feb 14, 2019

Abstract In this paper, we describe a computational study conducted on The Firefighter Problem (FFP), which models fire spreading and containment in a graph. Once the fire breaks out on a set of...

Longitudinal assessment of exercise capacity and quality of life outcome measures in cystic fibrosis: A year‐long prospective pilot study Early View

  • Journal: Journal of Evaluation in Clinical Practice
  • Authors: Rajeev Bhatia, Melissa Kaye, Adria Roberti‐Miller
  • Published Date: Feb 13, 2019

Abstract Background Multiple outcomes measures including exercise capacity and quality of life are necessary to get complete and accurate picture of cystic fibrosis (CF) progression. In this pilot...

Evaluating functional covariate‐environment interactions in the Cox regression model Early View

  • Journal: Canadian Journal of Statistics
  • Authors: Ling Zhou, Haoqi Li, Huazhen Lin, Peter X.‐K. Song
  • Published Date: Feb 13, 2019

Résumé Les enfants exposés à des perturbateurs endocriniens comme les phtalates courrent un risque élevé de problèmes relatifs à leur croissance et leur maturation sexuelle. Les auteurs s'intéressent...

Robust network‐based regularization and variable selection for high‐dimensional genomic data in cancer prognosis Early View

  • Journal: Genetic Epidemiology
  • Authors: Jie Ren, Yinhao Du, Shaoyu Li, Shuangge Ma, Yu Jiang, Cen Wu
  • Published Date: Feb 11, 2019

Abstract In cancer genomic studies, an important objective is to identify prognostic markers associated with patients' survival. Network‐based regularization has achieved success in variable...

Large‐scale automated forecasting for network safety and security monitoring Early View

  • Journal: Applied Stochastic Models in Business and Industry
  • Authors: Roi Naveiro, Simón Rodríguez, David Ríos Insua
  • Published Date: Feb 11, 2019

Abstract Large‐scale real‐time streaming data pose major challenges to forecasting, in particular, defying the presence of human experts to perform the required analysis. We present here a class of...

Bayesian semiparametric Markov switching stochastic volatility model Early View

  • Journal: Applied Stochastic Models in Business and Industry
  • Authors: Audronė Virbickaitė, Hedibert F. Lopes
  • Published Date: Feb 11, 2019

Abstract This paper proposes a novel Bayesian semiparametric stochastic volatility model with Markov switching regimes for modeling the dynamics of the financial returns. The distribution of the error...

Bayesian analysis for step‐stress accelerated life testing under progressive interval censoring Early View

  • Journal: Applied Stochastic Models in Business and Industry
  • Authors: Christian Kohl, Maria Kateri
  • Published Date: Feb 11, 2019

Abstract A step‐stress accelerated life testing model is considered for progressive type‐I censored experiments when the tested items are not monitored continuously but inspected at prespecified time...

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