Listar GI-MODES - Artigos por autor "Cao, Ricardo"

Mostrando ítems 1-20 de 20

    • A cardiotoxicity dataset for breast cancer patients 

      Piñeiro Lamas, Beatriz; López-Cheda, Ana; Cao, Ricardo; Ramos-Alonso, Laura; González-Barbeito, Gabriel; Barbeito Caamaño, Cayetana; Bouzas-Mosquera, Alberto (Nature Research, 2023)
      [Abstract] This dataset is a result of the collaboration between the University of A Coruña and the University Hospital of A Coruña. It contains information about 531 women diagnosed with HER2+ breast cancer, treated with ...

    • Analysis of interval‐grouped data in weed science: The binnednp Rcpp package 

      Barreiro-Ures, Daniel; Francisco-Fernández, Mario; Cao, Ricardo; Fraguela, Basilio B.; Doallo, Ramón; González-Andújar, José Luis; Reyes, Miguel (John Wiley & Sons Ltd., 2019-09-13)
      [Abstract] Weed scientists are usually interested in the study of the distribution and density functions of the random variable that relates weed emergence with environmental indices like the hydrothermal time (HTT). ...

    • Automatic detection of defective crankshafts by image analysis and supervised classification 

      Remeseiro, Beatriz; Tarrío-Saavedra, Javier; Francisco-Fernández, Mario; Penedo, Manuel; Naya, Salvador; Cao, Ricardo (2019)
      [Abstract]: A crankshaft is a mechanical component of an engine that performs a conversion of an alternative movement of a piston in a rotational motion of a shaft. It is a critical part and one of the most expensive of ...

    • Bagging cross-validated bandwidths with application to big data 

      Barreiro-Ures, Daniel; Cao, Ricardo; Francisco-Fernández, Mario; Hart, Jeffrey D. (2021)
      Hall & Robinson (2009) proposed and analysed the use of bagged cross-validation to choose the band-width of a kernel density estimator. They established that bagging greatly reduces the noise inherent in ordinary ...

    • Bandwidth selection for statistical matching and prediction 

      Barbeito Cal, Inés; Cao, Ricardo; Sperlich, Stephan (Springer, 2022)
      [Abstract]: While there exist many bandwidth selectors for estimation, bandwidth selection for statistical matching and prediction has hardly been studied so far. We introduce a computationally attractive selector for ...

    • Big-But-Biased Data Analytics for Air Quality 

      Borrajo, Laura; Cao, Ricardo (MDPI AG, 2020-09-22)
      [Abstract] Air pollution is one of the big concerns for smart cities. The problem of applying big data analytics to sampling bias in the context of urban air quality is studied in this paper. A nonparametric estimator ...

    • Bootstrap Bandwidth Selection and Confidence Regions for Double Smoothed Default Probability Estimation 

      Peláez, Rebeca; Cao, Ricardo; Vilar, Juan M. (MDPI, 2022)
      [Abstract] For a fixed time, t, and a horizon time, b, the probability of default (PD) measures the probability that an obligor, that has paid his/her credit until time t, runs into arrears not later that time t+b. This ...

    • Comments on: Nonparametric estimation in mixture cure models with covariates 

      Cao, Ricardo (Springer Science and Business Media Deutschland GmbH, 2023)
      [Abstract]: This paper discusses the invited paper by López-Cheda, Peng and Jácome on nonparametric mixture cure models with covariates. An alternative estimation procedure is proposed in this context. The situation when ...

    • Cost-sensitive thresholding over a two-dimensional decision region for fraud detection 

      C-Rella, Jorge; Cao, Ricardo; Vilar, Juan M. (Elsevier B.V., 2024-02)
      [Absctract]: Credit fraud poses a challenging task in terms of detection. It can result in significant losses depending on the amount, so a cost-sensitive perspective needs to be taken. Classical approaches focus on ...

    • Cure models to estimate time until hospitalization due to COVID-19 

      Pedrosa-Laza, Maria; López-Cheda, Ana; Cao, Ricardo (Springer Nature, 2022-01)
      [Abstract]: A short introduction to survival analysis and censored data is included in this paper. A thorough literature review in the field of cure models has been done. An overview on the most important and recent ...

    • Effectiveness of non-pharmaceutical interventions in nine fields of activity to decrease SARS-CoV-2 transmission (Spain, September 2020–May 2021) 

      Barbeito, Inés; Precioso, Daniel; Sierra, María José; Vegas-Azcárate, Susana; Fernández-Balbuena, Sonia; Vitoriano, Begoña; Gómez-Ullate, David; Cao, Ricardo; Monge, Susana (Frontiers Media S.A., 2023)
      [Abstract]: Background: We estimated the association between the level of restriction in nine different fields of activity and SARS-CoV-2 transmissibility in Spain, from 15 September 2020 to 9 May 2021. Methods: A stringency ...

    • Estimating Lengths-Of-Stay of Hospitalized COVID-19 Patients Using a Non-parametric Model: A Case Study in Galicia (Spain) 

      López-Cheda, Ana; Cao, Ricardo; De Salazar, Pablo M.; Jácome, M. A. (Cambridge University Press, 2021)
      [Abstract] Estimating the lengths-of-stay (LoS) of hospitalised COVID-19 patients is key for predicting the hospital beds’ demand and planning mitigation strategies, as overwhelming the healthcare systems has critical ...

    • Kernel distribution estimation for grouped data 

      Reyes, Miguel; Francisco-Fernández, Mario; Cao, Ricardo; Barreiro-Ures, Daniel (Institut d'Estadística de Catalunya, 2019)
      [Abstract]: Interval-grouped data appear when the observations are not obtained in continuous time, but monitored in periodical time instants. In this framework, a nonparametric kernel distribution esti- mator is proposed ...

    • Modeling the Number of People Infected With SARS-COV-2 From Wastewater Viral Load in Northwest Spain 

      Vallejo, J. A.; Trigo Tasende, Noelia; Rumbo-Feal, Soraya; Conde-Pérez, Kelly; López-Oriona, Ángel; Barbeito, Inés; Vaamonde, Manuel; Tarrío-Saavedra, Javier; Reif López, Rubén; Ladra, Susana; Rodiño-Janeiro, Bruno Kotska; Nasser-Ali, Mohammed; Cid, Ángeles; Veiga, María Carmen; Acevedo, Antón; Lamora, Carlos; Bou, Germán; Cao, Ricardo; Poza, Margarita (Elsevier, 2022)
      [Abstract] The quantification of the SARS-CoV-2 RNA load in wastewater has emerged as a useful tool to monitor COVID–19 outbreaks in the community. This approach was implemented in the metropolitan area of A Coruña (NW ...

    • Nonparametric covariate hypothesis tests for the cure rate in mixture cure models 

      López-Cheda, Ana; Jácome, M. A.; Keilegom, Ingrid Van; Cao, Ricardo (John Wiley & Sons, 2020-06)
      [Abstract]: In lifetime data, like cancer studies, there may be long term survivors, which lead to heavy censoring at the end of the follow-up period. Since a standard survival model is not appropriate to handle these data, ...

    • Nonparametric forecasting in time series: a comparative study 

      Vilar, Juan M.; Cao, Ricardo (Taylor & Francis, 2007)
      The problem of predicting a future value of a time series is considered in this paper. If the series follows a stationary Markov process, this can be done by nonparametric estimation of the autoregression function. Two ...

    • Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models 

      López-Cheda, Ana; Cao, Ricardo; Jácome, M. A.; Keilegom, Ingrid Van (Elsevier, 2017-01)
      [Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. A nonparametric estimator of the incidence is extensively studied and a nonparametric estimator of the latency is presented. ...

    • Nonparametric latency estimation for mixture cure models 

      López-Cheda, Ana; Jácome, M. A.; Cao, Ricardo (Springer Nature, 2017-06)
      [Abstract]: A nonparametric latency estimator for mixture cure models is studied in this paper. An i.i.d. representation is obtained, the asymptotic mean squared error of the latency estimator is found, and its asymptotic ...

    • Probability of default estimation in credit risk using mixture cure models 

      Peláez, Rebeca; Keilegom, Ingrid Van; Cao, Ricardo; Vilar, Juan M. (Elsevier, 2024-01)
      [Abstract]: An estimator of the probability of default (PD) in credit risk is proposed. It is derived from a nonparametric conditional survival function estimator based on cure models. Asymptotic expressions for the bias ...

    • Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain 

      Trigo-Tasende, Noelia; Vallejo, Juan Andrés; Rumbo-Feal, Soraya; Conde-Pérez, Kelly; Vaamonde, Manuel; López-Oriona, Ángel; Barbeito, Inés; Nasser-Ali, Mohammed; Reif López, Rubén; Rodiño-Janeiro, Bruno Kotska; Fernández-Álvarez, Elisa; Iglesias Corrás, Iago; Tarrío-Saavedra, Javier; Tomás, Laura; Gallego-García, Pilar; Posada, David; Bou, Germán; López-de-Ullibarri, Ignacio; Cao, Ricardo; Susana, Ladra; Poza, Margarita (Springer, 2023-07)
      [Abstract]: Wastewater-based epidemiology has been widely used as a cost-effective method for tracking the COVID-19 pandemic at the community level. Here we describe COVIDBENS, a wastewater surveillance program running ...