Recent Developments in Statistics and Data Science : SPE2021, Évora, Portugal, October 13-16

Recent Developments in Statistics and Data Science SPE2021, Évora, Portugal, October 13-16

This volume presents a collection of twenty-five peer-reviewed articles carefully selected from the contributions presented at the XXV Congress of the Portuguese Statistical Society (2021). Containing state-of-the-art developments in theoretical and applied statistics, the book will be accessible to...

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Detalles Bibliográficos
Otros Autores: Bispo, Regina (-), Henriques-Rodrigues, Lígia, Alpizar-Jara, Russell, de Carvalho, Miguel
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2022.
Edición:1st ed. 2022.
Colección:Springer eBooks.
Springer Proceedings in Mathematics & Statistics ; 398.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b47352905*spi
Tabla de Contenidos:
  • N. Sepúlveda, How to Increase the Visibility of Statisticians in the Modern World of Dataism?
  • M. Souto de Miranda, M. C. Miranda, M. I. Gomes, A Robust Hurdle Poisson Model in the Estimation of the Extremal Index
  • F. Caeiro, Maria Ivette Gomes, Computational Study of the Adaptive Estimation of the Extreme Value Index with Probability Weighted Moments
  • M. I. Gomes, F. Caeiro, L. Henriques-Rodrigues , Estimation of the Weibull Tail Coefficient through the Power Mean-of-Order p
  • S. Dias, M. da Graça Temido, On the Maximum of a Bivariate Max-INAR(1) process
  • M. Cardoso, A. Martins, The Performance of a Combined Distance Between Time Series
  • E. Gonçalves, D. Sousa, Zero-distorted Generalized Geometric Distribution with Application to Time Series of Counts
  • A. Borges, M. R. Ramos, Clara Cordeiro, Uncovering Abnormal Water Consumption Patterns for Sustainability's Sake: A Statistical Approach
  • P. Fernando Cabral dos Anjos Junior, P. Milheiro-Oliveira, Modeling and Forecasting Wind Energy Production by Stochastic Differential Equations
  • A. Monteiro, M. Lucília Carvalho, I. Figueiredo, P. Simões, I. Natário, Intensity-Dependent Point Processes
  • P. Simões, M. Lucília Carvalho, I. Figueiredo, A. Monteiro, I. Natário, Geostatistical Sampling Designs Under Preferential Sampling for Black Scabbardfish
  • C. Goldstein, R. Bispo, Miguel Espinosa, Modeling Residential Adoption of Solar Photovoltaic Systems
  • D. Pereira, A. Afonso, Comparison of Semiparametric Approaches to Two-way ANOVA in the Presence of Heteroscedastity
  • P. Infante, A. Afonso, G. Jacinto, L. Rego, P. Nogueira, M. Silva, V. Nogueira, J. Saias, P. Quaresma, D. Santos, P. Góis, P. Rebelo Manuel, Some Determinants for Road Accidents Severity in the District of Setúbal
  • J. Malato, L. Graça, N. Sepulveda, Impact of Misclassification and Imperfect Serological Tests in Association Analyses of ME/CFS Applied to COVID-19 data
  • A. Fonseca, C. Cordeiro, N. Sepulveda, Identification of Immune Responses Predictive of Clinical Protection Against Malaria
  • V. Velasco-Pardo, M. Papathomas, A. Lynch, Statistical Challenges in Mutational Signature Analyses of Cancer Sequencing Data
  • A. Lynch, M. Smith, M. Eldridge, S. Tavaré, PCR Duplicate Proportion Estimation and Consequences for DNA Copy Number Calculations
  • R. São João, A. Cardoso, T. Dias Domingues, M. Fradinho, V. Silva, A. Feliciano, A Retrospective Study on Obstructive Sleep Apnea
  • R. Sousa, I. Pereira, M. E. Silva, Censored Multivariate Linear Regression Model
  • A. Carvalho, D. Vaz, T. Silva, C. Casaca, A Methodology to Reveal Terrain Effects from Wind Farm SCADA Data Using a Wind Signature Sousa Concept
  • M. C. Miranda, Robust FGLS estimator for Panel Data
  • I. Sousa-Ferreira, C. Rocha, A. M. Abreu, The Extended Chen-Poisson Marginal Rate Model for Recurrent Gap Time Data
  • E. Bernieri, Miguel de Carvalho, On Classical Measurement Error Within a Bayesian Nonparametric Framework.

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