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Información profesores completa

Datos persoais
Nome   Francisco Fernández, Mario
Área coñecemento   Estadística e investigación operativa
Categoría   Catedrático de Universidad
Dedicación   Total
Correo   mariofr@udc.es
Web persoal   http://dm.udc.es/staff/mario_francisco
Grupo investigación   MODES

Localizacion
Centro Campus Teléfono Extensión

Docencia
Titulación(s) Materia(s)
Máster en Técnicas Estadísticas Modelos de probabilidad
Grado en Ingeniería Informática Estadística
Máster Universitario en Materiales Complejos: Análisis Térmico y Reología Análisis Estadístico de Datos

Artigos publicados
  • Meilán-Vila, A., Crujeiras, R. M., Francisco-Fernández, M..
    Nonparametric estimation for a functional-circular regression model.
    Statistical Papers, 65 (2024) , 945–974.

  • Fernández-Casal, R., Castillo-Páez, S., Francisco-Fernández, M.
    Nonparametric Conditional Risk Mapping Under Heteroscedasticity.
    Journal of Agricultural, Biological, and Environmental Statistics, 29 (2024) , 56-72.

  • Antonio Meneses, Salvador Naya, Mario Francisco Fernández, Jorge López Beceiro, Carlos Gracia Fernández, Javier Tarrío Saavedra.
    TTS package: Computational tools for the application of the Time Temperature Superposition principle.
    Heliyon, 9 (2023) , 5 , e15816.

  • Meilán-Vila, A., Francisco-Fernández, M., Crujeiras, R.M.
    Goodness-of-fit tests for parametric regression models with circular response.
    Journal of Statistical Computation and Simulation, 92 (2022) , 9 , 1941-1963.

  • Meilán-Vila, A., Fernández-Casal, R., Crujeiras, R.M., Francisco-Fernández, M.
    A computational validation for nonparametric assessment of spatial trends.
    Computational Statistics, 36 (2021) , 2939–2965.

  • Meilán-Vila, A., Crujeiras, R.M., Francisco-Fernández, M..
    Nonparametric estimation of circular trend surfaces with application to wave directions.
    Stochastic Environmental Research and Risk Assessment, 35 (2021) , 923–939.

  • Daniel Barreiro-Ures, Ricardo Cao, Mario Francisco-Fernández y Jeffrey D. Hart.
    Bagging cross-validated bandwidths with application to Big Data.
    Biometrika, 108 (2021) , 4 , 981-988.

  • Meilán-Vila, A., Francisco-Fernández, M., Crujeiras, R. M., Panzera, A.
    Nonparametric multiple regression estimation for circular response.
    Test, 30 (2021) , 650-672.

  • Andrea Meilán-Vila, Jean D. Opsomer, Mario Francisco-Fernández, Rosa M. Crujeiras.
    A goodness-of-fit test for regression models with spatially correlated errors.
    Test, 29 (2020) , 728–749.

  • Beatriz Remeseiro, Javier Tarrío Saavedra, Mario Francisco-Fernández , Manuel G. Penedo, Salvador Naya, Ricardo Cao.
    Automatic detection of defective crankshafts by image analysis and supervised classification.
    The International Journal of Advanced Manufacturing Technology, 105 (2019) , 9 , 3761-3777.

  • Miguel Reyes, Mario Francisco-Fernández, Ricardo Cao, Daniel Barreiro-Ures.
    Kernel distribution estimation for grouped data.
    SORT-Statistics and Operations Research Transactions, 43 (2019) , 2 , 259-288.

  • Daniel Barreiro-Ures, Mario Francisco-Fernández, Ricardo Cao, Basilio B. Fraguela, Ramón Doallo, Miguel Reyes.
    Analysis of interval-grouped data in weed science: The 2 binnednp Rcpp package.
    Ecology and Evolution, 9 (2019) , 10903-10915.

  • Fernández-Casal, R., Castillo-Páez, S., Francisco-Fernández, M.
    Nonparametric geostatistical risk mapping.
    Stochastic Environmental Research and Risk Assessment, 32 (2018) , 675-684.

  • A. Quintela-del-Río, M. Francisco-Fernández.
    River flow modelling using nonparametric functional data analysis.
    Journal of Flood Risk Management, 11 (2018) , S2 , S902-S915.

  • Miguel Reyes, Mario Francisco-Fernández, Ricardo Cao.
    Bandwidth selection in kernel density estimation for interval-grouped data.
    Test, 26 (2017) , 3 , 527-545.

  • M. Francisco-Fernández, J. Tarrío-Saavedra, S. Naya, J. López-Beceiro, R. Artiaga.
    Statistical classification of early and late wood through the growth rings using thermogravimetric analysis.
    Journal of Thermal Analysis and Calorimetry, 127 (2017) , 1 , 499-506.

  • Quintela-del-Río, A. and Francisco-Fernández, M.
    Excel Templates: A Helpful Tool for Teaching Statistics.
    The American Statistician, 71 (2017) , 4 , 317-325.

  • G. D. Berentsen, R. Cao, M. Francisco-Fernández, D. Tjøstheim.
    Some properties of local Gaussian correlation and other nonlinear dependence measures.
    Journal of Time Series Analysis, 38 (2017) , 2 , 352-380.

  • M. Reyes, M. Francisco-Fernández, R. Cao.
    Nonparametric kernel density estimation for general grouped data.
    Journal of Nonparametric Statistics, 28 (2016) , 2 , 235-249.

  • J.L. Gonzalez-Andujar, M. Francisco-Fernandez, R. Cao, M. Reyes, J.M. Urbano, F. Forcella, F. Bastida.
    A comparative study between non-linear regression and non-parametric approaches for modelling Phalaris paradoxa seedling emergence.
    Weed Research, 56 (2016) , 367-376.

  • M. Francisco-Fernández, A. Quintela-del-Río.
    Comparing simultaneous and pointwise confidence intervals for hydrological processes.
    PLoS ONE, 11 (2016) , 2 , 1-28.

  • Mario Francisco-Fernández, Javier Tarrío-Saavedra, Salvador Naya, Jorge López-Beceiro, Ramón Artiaga.
    Classification of wood using diferential thermogravimetric analysis.
    Journal of Thermal Analysis and Calorimetry, 120 (2015) , 1 , 541-551.

  • Naya, S., Tarrío-Saavedra. J., López-Beceiro, J., Francisco Fernández, M., Flores, M. y Artiaga, R.
    Statistical functional approach for interlaboratory studies with thermal data.
    Journal of Thermal Analysis and Calorimetry, 118 (2014) , 2 , 1229-1243.

  • J. Tarrío-Saavedra, J. López-Beceiro, S. Naya, M. Francisco-Fernández, R. Artiaga.
    Simulation Study for Generalized Logistic Function in Thermal Data Modelling.
    Journal of Thermal Analysis and Calorimetry, 118 (2014) , 2 , 1253 - 1268.

  • R. Fernández-Casal, M. Francisco-Fernández.
    Nonparametric bias-corrected variogram estimation under non-constant trend.
    Stochastic Environmental Research and Risk Assessment, 28 (2014) , 5 , 1247-1259.

  • J. Tarrío-Saavedra, M. Francisco-Fernández, S. Naya, J. López-Beceiro, C. Gracia-Fernández, R. Artiaga.
    Wood identification using Pressure DSC data.
    Journal of Chemometrics, 27 (2013) , 475-487.

  • S. Naya, R.Cao, M. Francisco-Fernández, J. Tarrío-Saavedra, H. Brage and C. Cancelo.
    Estimating Water and Solid Impurities in Jet Fuel from ISO Codes.
    Energy & Fuels, 27 (2013) , 12 , 7858–7867.

  • R. Cao, M. Francisco-Fernandez, A. Anand, F. Bastida, J. L. Gonzalez-Andujar.
    Modeling Bromus diandrus seedling emergence using nonparametric estimation.
    Journal of Agricultural, Biological, and Environmental Statistics, 0 (2013) , 18 , 64-68.

  • M. Francisco-Fernández, A. Quintela-del-Río.
    Nonparametric analysis of high wind speed data.
    Climate Dynamics, 40 (2013) , 1 , 429-441.

  • M. Francisco-Fernández, A. Quintela-del-Río, R. Fernández-Casal.
    Nonparametric methods for spatial regression. An application to seismic events.
    Environmetrics, 23 (2012) , 85-93.

  • M. Francisco-Fernández, J. Tarrío-Saavedra,A. Mallik, S. Naya.
    A comprehensive classification of wood from thermogravimetric curves.
    Chemometrics and Intelligent Laboratory Systems, 118 (2012) , 159-172.

  • J.D. Opsomer, M. Francisco-Fernández, X. Li.
    Model-based nonparametric variance estimation for systematic sampling.
    Scandinavian Journal of Statistics. Theory and Applications, 0 (2012) , 39 , 528-542.

  • A. Quintela-del-Río. M. Francisco-Fernández.
    Nonparametric functional data estimation applied to ozone data: prediction and extreme valyue analysis.
    Chemosphere, 82 (2011) , 800-808.

  • Mallik, A., Tarrío-Saavedra J., Francisco-Fernández M. and Naya S..
    Classification of wood micrographs by image segmentation.
    Chemometrics and Intelligent Laboratory Systems, 107 (2011) , 351-362.

  • M. Francisco-Fernández, A. Quintela-del-Río.
    Nonparametric seismic hazard estimation: a spatio-temporal application to the northwest of the Iberian Peninsula.
    Tectonophysics, 505 (2011) , 35-43.

  • A. Quintela del Rí­o, M. Francisco Fernández.
    Analysis of high level ozone concentrations using nonparametric methods.
    Science of the Total Environment, 409 (2011) , 1123-1133.

  • J. Tarrío-Saavedra, S. Naya, M. Francisco-Fernández, J. López-Beceiro, R. Artiaga.
    Functional nonparametric classification of wood species from thermal data .
    Journal of Thermal Analysis and Calorimetry, 104 (2011) , 87-100.

  • J. Tarrí­o-Saavedra, S. Naya, M. Francisco-Fernández, R. Artiaga y J. López-Beceiro.
    Application of functional ANOVA to the study of thermal stability of micro-nano silica epoxy composites.
    Chemometrics and Intelligent Laboratory Systems, 105 (2011) , 114-124.

  • R. Cao, M. Francisco-Fernández, A. Anand, F. Bastida y J. L. González-Andújar.
    Computing statistical indices for hydrothermal times using weed emergence data.
    Journal of Agricultural Science, 0 (2011) , 149 , 701-712.

  • M. Francisco-Fernández, A. Quintela-del Rí­o, R. Fernández-Casal.
    A nonparametric analysis of the spatial distribution of the earthquakes magnitude.
    Bulletin of the Seismological Society of America, 101 (2011) , 4 , 1660-1673.

  • J. D. Opsomer, M. Francisco-Fernández.
    Finding Local Departures from a Parametric Model Using Nonparametric Regression.
    Statistical Papers, 51 (2010) , 69-84.

  • S. Naya, M. Francisco-Fernández, J. Tarrío-Saavedra, J. López-Beceiro.
    New Statistical Functional nonparametric methods for study of nanomaterials.
    World Journal of Engineering, 7 (2010) , 3 , 853-854.

  • R. Cao, M. Francisco-Fernández, E. J. Quinto.
    A random effect multiplicative heteroscedastic model for bacterial growth.
    BMC Bioinformatics, 11 (2010) , 77.

  • M. Francisco-Fernández, J. M. Vilar-Fernández.
    Two tests for heteroscedasticity in nonparametric regression.
    Computational Statistics, 24 (2009) , 145-163.

  • F. López-Granados, J. M. Peña-Barragán, M. Jurado-Expósito, M. Francisco-Fernández, R. Cao, A. Alonso-Betanzos, O. Fontenla-Romero.
    Multispectral classification of grass weeds and wheat (Triticum durum) crop using linear and nonparametric functional discriminant analysis, and neural networks.
    Weed Research, 48 (2008) , 28-37.

  • J.M. Vilar-Fernández, M. Francisco-Fernández.
    Nonparametric estimation of the conditional variance function with correlated errors.
    Journal of Nonparametric Statistics, 18 (2006) , 4-6 , 375-391.

  • M. Francisco-Fernández, M. Jurado-Expósito, J. D. Opsomer, F. López-Granados.
    A nonparametric analysis of the distribution of "Convolvulus arvensis" in wheat-sunflower rotations.
    Environmetrics, 17 (2006) , 849-860.

  • M. Francisco-Fernández, J. Opsomer.
    Smoothing parameter selection methods for nonparametric regression with spatially correlated errors.
    Canadian Journal of Statistics / Revue canadienne de statistique, 33 (2005) , 279-295.

  • M. Francisco-Fernández, J. M. Vilar.
    Bandwidth selection for the local polynomial estimator under dependence: a simulation study.
    Computational Statistics, 20 (2005) , 4 , 539-558.

  • J. M. Matí­as, W. González-Manteiga, M. Francisco-Fernández, C. Ordóñez.
    Variography for model selection in local polynomial regression with spatial data.
    Journal of Mathematical Modelling and Algorithms, 4 (2005) , 3 , 237-252.

  • M. Francisco-Fernández, J. M. Vilar.
    Weighted local nonparametric regression with dependent errors: study of real private residential fixed investment in the USA.
    Statistical Inference for Stochastic Processes, 7 (2004) , 1 , 69-93.

  • M. Francisco-Fernández, J. Opsomer, J. M. Vilar.
    A plug-in bandwidth selector for local polynomial regression estimator with correlated errors.
    Journal of Nonparametric Statistics, 16 (2004) , 1-2 , 127-151.

  • M. Francisco-Fernández, J. M. Vilar, J. A. Vilar.
    On the uniform strong consistency of local polynomial regression under dependence conditions.
    Communications in Statistics / Theory and Methods, 32 (2003) , 12 , 2441-2463.

  • J. M. Vilar, M. Francisco-Fernández.
    Local polynomial regression smoothers with AR-error structure.
    Test, 11 (2002) , 2 , 439-464.

  • M. Francisco-Fernández, J. M. Vilar.
    Local polynomial regression estimation with correlated errors.
    Communications in Statistics / Theory and Methods, 30 (2001) , 7 , 1271-1293.