Cao Abad, R., Francisco Fernández, M., Naya Fernández, S., Presedo Quindimil, M. P., Vázquez Brage, M., Vilar Fernández, J. A. and Vilar Fernández, J. M. (1998). Estadística Básica Aplicada. Tórculo Edicións. ISBN:84-8408-024-2.
Cao Abad, R., Francisco Fernández, M., Naya Fernández, S., Presedo Quindimil, M. P., Vázquez Brage, M., Vilar Fernández, J. A. and Vilar Fernández, J. M. (2001). Introducción a la Estadística y sus Aplicaciones. Ediciones Pirámide. ISBN: 84-368-1543-2.
Francisco Fernández, M. (2001). La Regresión Polinómica Local en Diseño Fijo con Observaciones Dependientes. Universidad de Santiago de Compostela. ISBN: 84-699-7425-4.
Francisco-Fernández, M. and Vilar-Fernández, J. M. (2001). Local polynomial regression estimation with correlated erors. Communications in Statistics. Theory and Methods, 30 (7), 1271-1293.
Francisco-Fernández, M. and Vilar-Fernández, J. M. (2002). Local polynomial regression smoothers with AR-error structure. TEST, 11 (2), 439-464.
Francisco-Fernández, M., Vilar-Fernández, J. M. and Vilar-Fernández, J. A. (2003). On the uniform strong consistency of local polynomial regression under dependence conditions. Communications in Statistics. Theory and Methods, 32 (12), 2415-2440.
Francisco-Fernández, M., Opsomer, J. D. and Vilar-Fernández, J. M. (2004). A plug-in bandwidth selector for local polynomial regression estimator with correlated errors. Journal of Nonparametric Statistics, 16 (1-2), 127-151.
Francisco-Fernández, M. and Vilar-Fernández, J. M. (2004). Weighted local nonparametric regression with dependent data: study of real private residential fixed investment in the USA. Statistical Inference for Stochastic Processes, 7 (1), 69-93.
Francisco-Fernández, M. and Opsomer, J. D. (2005). Smoothing parameter selection methods for nonparametric regression with spatially correlated errors. Canadian Journal of Statistics, 33, 279-295.
Francisco-Fernández, M. and Vilar-Fernández, J. M. (2005). Bandwidth selection for the local polynomial estimator under dependence: a simulation study. Computational Statistics, 20 (4) 539-558.
Matías, J. M., González-Manteiga, W., Francisco-Fernández, M. and Ordóñez, C. (2005). Variography for Model Selection in Local Polynomial Regression with Spatial Data. Journal of Mathematical Modelling and Algorithms, 4 (3) 237-252.
Francisco-Fernández, M., Jurado-Exposito, M., Opsomer, J. D. and López-Granados, F. (2006). A nonparametric analysis of the distribution of Convolvulus arvensis in wheat-sunflower rotations. Environmetrics. 17, 849-860.
Vilar-Fernández, J. M. and Francisco-Fernández, M. (2006). Nonparametric estimation of the conditional variance function with correlated errors. Journal of Nonparametric Statistics. 18 (4-6), 375-391.
López-Granados, F., Peña-Barragán, J. M., Jurado-Expósito, M., Francisco-Fernández, M., Cao, R., Alonso-Betanzos, A. and Fontenla-Romero, O. (2008). Multispectral discrimination of grass weeds and wheat (Triticum durum) crop using linear and nonparametric functional discriminant analysis and neural networks. Weed Research, 48, 28-37.
Francisco-Fernández, M. and Vilar-Fernández, J. M. (2009). Two tests for heteroscedasticity in nonparametric regression. Computational Statistics, 24 (1), 145-163.
Opsomer, J. D., Francisco-Fernández, M. and Li X. (2010). Additional Results for model-based nonparametric variance estimation for systematic sampling in a forestry survey.Technical Report #2009/2, Department of Statistics, Colorado State University.
Opsomer, J. D. and Francisco-Fernández, M. (2010). Finding Local Departures from a Parametric Model Using Nonparametric Regression. Statistical Papers, 51, 69-84.
Cao R., Francisco-Fernández M. and Quinto E. (2010). A random effect multiplicative heteroscedastic model for bacterial growth. BMC Bioinformatics, 11:77.
Quintela-del-Río, A. and Francisco-Fernández, M. (2011). Analysis of high level ozone concentrations using nonparametric methods. Science of the Total Environment, 409, 1123-1133.
Tarrío-Saavedra J., Naya S., Francisco-Fernández M., Artiaga, R. and López-Beceiro J. (2011) Application of functional ANOVA to the study of thermal stability of micro-nano silica epoxy composites. Chemometrics and Intelligent Laboratory Systems, 105, 114-124.
Quintela-del-Río, A. and Francisco-Fernández, M. (2011) Nonparametric functional data estimation applied to ozone data: prediction and extreme value analysis. Chemosphere, 82, 800-808.
Tarrío-Saavedra J., Naya S., Francisco-Fernández M., López-Beceiro J. and Artiaga A. (2011). Functional nonparametric classification of wood species from thermal data. Journal of Thermal Analysis and Calorimetry 104, 87-100.
Francisco-Fernández, M. and Quintela-del-Río, A. (2011). Nonparametric seismic hazard estimation: a spatio-temporal application to the northwest of the Iberian Peninsula. Tectonophysics 505, 35-43.
Mallik, A. Tarrío-Saavedra J., Francisco-Fernández M. and Naya S. (2011). Classification of wood micrographs by image segmentation. Chemometrics and Intelligent Laboratory Systems 107, 351-362.
Cao, R., Francisco-Fernández, M., Anand, A., Bastida, F. and González-Andújar, J. L. (2011). Computing statistical indices for hydrothermal times using weed emergence data. Journal of Agricultural Science 149, 701-712.
Francisco-Fernández, M., Quintela-del-Río, A. and Fernández-Casal, R. (2011). A nonparametric analysis of the spatial distribution of the earthquakes magnitude. Bulletin of the Seismological Society of America 101(4), 1660-1673.
Francisco-Fernández, M., Quintela-del-Río, A. and Fernández-Casal, R. (2011). Nonparametric methods for spatial regression. An application to seismic events. Environmetrics 23, 85-93.
Opsomer, J. D., Francisco-Fernández, M. and Li, X. (2012). Model-based nonparametric variance estimation for systematic sampling. Scandinavian Journal of Statistics 39, 528-542.
Francisco-Fernández, M., Tarrío-Saavedra, J., Mallik, A. and Naya, S. (2012). A comprehensive classification of wood from thermogravimetric curves. Chemometrics and Intelligent Laboratory Systems 118, 159-172.
Cao R., Francisco-Fernandez M., Anand A., Bastida F., Gonzalez-Andujar J. L. (2013). Modeling Bromus diandrus seedling emergence using nonparametric estimation. Journal of Agricultural, Biological, and Environmental Statistics 18, 64-68.
Francisco-Fernández, M., Quintela-del-Río, A. (2013). Nonparametric analysis of high wind speed data. Climate Dynamics 40(1), 429-441.
Tarrío-Saavedra, J., Francisco-Fernández, M., S. Naya, López-Beceiro J., C. Gracia-Fernández, Artiaga, R. (2013). Wood identification using Pressure DSC data. Journal of Chemometrics, 27, 475-487.
Naya, S., Cao R., Francisco-Fernández, M., Tarrío-Saavedra, J., Brage H. y Cancelo C. (2013). Estimating water and solid impurities in jet fuel from ISO Codes. Energy & Fuels, 27, 12, 7858-7867.
Fernández-Casal, R., Francisco-Fernández, M. (2014). Nonparametric bias-corrected variogram estimation under non-constant trend. Stochastic Environmental Research and Risk Assessment, 28, 1247-1259.
Tarrío-Saavedra, J., López-Beceiro J., Naya, S., Francisco-Fernández, M., Artiaga, R. (2014). Simulation Study for Generalized Logistic Function in Thermal Data Modelling. Journal of Thermal Analysis and Calorimetry, 118, 1253-1268..
Naya, S., Tarrío-Saavedra. J., López-Beceiro, J., Francisco Fernández, M., Flores, M. y Artiaga, R. (2014). Statistical functional approach for interlaboratory studies with thermal data. Journal of Thermal Analysis and Calorimetry, 118, 1229-1243.
Francisco-Fernández, M., Tarrío-Saavedra, J., Naya, S., López-Beceiro, J. and Artiaga, R. (2015). Classification of wood using diferential thermogravimetric analysis. Journal of Thermal Analysis and Calorimetry, 120, 541-551.
M. Francisco-Fernández y A. Quintela-del-Río. (2016). Comparing simultaneous and pointwise confidence intervals for hydrological processes. PLOS ONE 11,2 .
M. Reyes, M. Francisco-Fernández and R. Cao. (2016). Nonparametric kernel density estimation for general grouped data. Journal of Nonparametric Statistics, 28, 2, 235-249.
J.L. Gonzalez-Andujar, M. Francisco-Fernandez, R. Cao, M. Reyes, J.M. Urbano, F. Forcella, F. Bastida. (2016). A comparative study between non-linear regression and non-parametric approaches for modelling Phalaris paradoxa seedling emergence. Weed Research, 56, 367-376.
Reyes, M., Francisco-Fernández, M., Cao, R. (2017). Bandwidth selection in kernel density estimation for interval-grouped data. TEST, 26(3), 527-545.
M. Francisco-Fernández and A. Quintela-del-Río. (2017). Excel Templates: A Helpful Tool for Teaching Statistics. The American Statistician, 71(4), 317-325.
Berentsen, G. D., Cao, R., Francisco-Fernández, M., Tjøstheim, D. (2017). Some properties of local Gaussian correlation and other nonlinear dependence measures. Journal of Time Series Analysis, 38, 352-380..
M. Francisco-Fernández, J. Tarrío-Saavedra, S. Naya, J. López-Beceiro, R. Artiaga. (2017). Statistical classification of early and late wood through the growth rings using thermogravimetric analysis. Journal of Thermal Analysis and Calorimetry, 127(1), 499-506.
A. Quintela-del-Río, M. Francisco-Fernández. (2018). River flow modelling using nonparametric functional data analysis. Journal of Flood Risk Management, 11(S2), S902-S915.
Fernández-Casal, R., Castillo-Páez, S., Francisco-Fernández, M. (2018). Nonparametric geostatistical risk mapping. Stochastic Environmental Research and Risk Assessment, 32, 675-684.
Remeseiro, B., Tarrío-Saavedra, J., Francisco-Fernández, M., Penedo, M. G., Naya, S. y Cao, R. (2019). Automatic detection of defective crankshafts by image analysis and supervised classification. International Journal of Advanced Manufacturing Technology, 105(9), 3761-3777.
Miguel Reyes, Mario Francisco-Fernández, Ricardo Cao, Daniel Barreiro-Ures. (2019). Kernel distribution estimation for grouped data. SORT-Statistics and Operations Research Transactions, 43(2), 259-288.
Daniel Barreiro-Ures, Mario Francisco-Fernández, Ricardo Cao, Basilio B. Fraguela, Ramón Doallo, Miguel Reyes. (2019). Analysis of interval-grouped data in weed science: The 2 binnednp Rcpp package. Ecology and Evolution, 9, 10903-10915.
Meilán-Vila, A., Opsomer, J. D., Francisco-Fernández, M., Crujeiras, R. M. (2019). A goodness-of-fit test for regression models with spatially correlated errors. TEST, 29, 728-749 .
Meilán-Vila, A., Francisco-Fernández, M., Crujeiras, R. M., Panzera, A. (2021). Nonparametric multiple regression estimation for circular response. TEST, 29, 728-749
Meilán-Vila, A., Crujeiras, R.M., Francisco-Fernández, M. (2021). Nonparametric estimation of circular trend surfaces with application to wave directions. Stochastic Environmental Research and Risk Assessment, 35, 923-939..
Meilán-Vila, A., Fernández-Casal, R., Crujeiras, R.M., Francisco-Fernández, M. (2021). A computational validation for nonparametric assessment of spatial trends. Computational Statistics, 36, 2939-2965.
Barreiro-Ures, D., Cao, R., Francisco-Fernández, M., Hart, J. D. (2020). Bagging cross-validated bandwidths with application to Big Data. Biometrika, 108(4), 981-988.
A. Meilán-Vila, M. Francisco-Fernández, R.M. Crujeiras (2022). Goodness-of-fit tests for multiple regression with circular response. Journal of Statistical Computation and Simulation, 92(9), 1941-1963
Meneses, A., Naya, S., Francisco-Fernández, M., López-Beceiro, J., Gracia-Fernández, C., Tarrío-Saavedra, J. (2023). TTS package: Computational tools for the application of the Time Temperature Superposition principle. Heliyon, 9(5), e15816
Fernández-Casal, R., Castillo-Páez, S., Francisco-Fernández, M. (2024). Nonparametric Conditional Risk Mapping Under Heteroscedasticity. Journal of Agricultural, Biological, and Environmental Statistics, 29, 56-72
A. Meilán-Vila, R.M. Crujeiras, M. Francisco-Fernández, (2024). Nonparametric estimation for a functional-circular regression model. Statistical Papers, 65, 945-974
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