Cao Abad, R., Francisco Fernández, M., Naya Fernández, S., Presedo Quindimil, M. P., Vázquez Brage, M., Vilar Fernández, J. A. y 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. y 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. y 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. y 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. y 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. y 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. y 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. y 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. y 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. y 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. y 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. y 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. y 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. y Vilar-Fernández, J. M. (2009). Two tests for heteroscedasticity in nonparametric regression. Computational Statistics, 24 (1), 145-163.
Opsomer, J. D., Francisco-Fernández, M. y X. Li (2009). 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. y Francisco-Fernández, M. (2010). Finding Local Departures from a Parametric Model Using Nonparametric Regression. Statistical Papers, 51, 69-84.
Cao R., Francisco-Fernández M. y Quinto E. (2010). A random effect multiplicative heteroscedastic model for bacterial growth. BMC Bioinformatics, 11:77.
Quintela-del-Río, A. y 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. y 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. y 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. y Artiaga A. (2011). Functional nonparametric classification of wood species from thermal data. Journal of Thermal Analysis and Calorimetry 104, 87-100.
Francisco-Fernández, M. y 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. y 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. y 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. y 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. y Fernández-Casal, R. (2011). Nonparametric methods for spatial regression. An application to seismic events. Environmetrics 23, 85-93.
Opsomer, J.D., Francisco-Fernández, M. y 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. y 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. y 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 y 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 y 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. (2020). 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, 30, 650-672.
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. (2021). 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