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2014

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• ESCABIAS, M.; AGUILERA, A.M.; AGUILERA, M.C.
Functional PCA and Base-Line Logit Models, Journal of classification, Vol. 31, Núm. 3, 2014, pp. 296-324, ESTADOS UNIDOS.

ALONSO, A.M.; BERMUDEZ, P.Z.; SCOTTO, M.G.
Comparing generalized Pareto models fitted to extreme observations: an application to the largest temperatures in Spain, Stochastic Environmental Research and Risk Assessment, Vol. 28, Núm. 5, 2014, pp. 1221-1233, ALEMANIA.

ALONSO, A.M.; CASADO, D.; LOPEZ, S.; ROMO, J.
Robust functional supervised classification for time series, Journal of Classification, Vol. 31, Núm. 3, 2014, pp. 325-350, ESTADOS UNIDOS DE AMERICA.

• MAHARAJ, E.A.; ALONSO, A.M.
Discriminant analysis of multivariate time series: application to diagnosis based on ECG signals, Computational Statistics and Data Analysis, Vol. 70, 2014, pp. 67-87, HOLANDA.

• MARRON, J.S.; ALONSO, A.M.
Overview of object oriented data analysis, Biometrical Journal, Vol. 56, Núm. 5, 2014, pp. 732-753, ALEMANIA.

• MARRON, J.S.; ALONSO, A.M.
Rejoinder to the discussion of: Overview of object-oriented data analysis, Biometrical Journal, Vol. 56, Núm. 5, 2014, pp. 790-791, ALEMANIA.

ARRIBAS, A.; BERTIN, K.; MEZA, C.; RIVOIRARD, V.
Lasso-type estimators for semiparametric nonlinear mixed-effects models estimation, Statistics and Computing, Vol. 24, Núm. 3, 2014, pp. 443-460, REINO UNIDO.

ARRIBAS, A.; MUELLER, H.G.
Pairwise dynamic time warping for event data, Computational statistics and data analysis, Vol. 69, 2014, pp. 255-268, HOLANDA.

ARRIBAS, A.; ROMO, J.
Shape outlier detection and visualization for functional data: the outliergram, Biostatistics, Vol. 15, Núm. 4, 2014, pp. 603-619, REINO UNIDO.

AUSIN, M. C.; GALEANO, P.; GHOSH, P.
A semiparametric Bayesian approach to the analysis of financial time series with applications to value at risk estimation, European Journal of Operational Research, Vol. 232, Núm. 2, 2014, pp. 350-358, HOLANDA.

BRETO, C.
On idiosyncratic stochasticity of financial leverage effects, Statistics and Probability Letters, Vol. 91, 2014, pp. 20-26, HOLANDA.
 

BRETO, C.
Trajectory composition of Poisson time changes and Markov counting systems, Statistics and Probability Letters, Vol. 88, 2014, pp. 91-98, HOLANDA.

CABRAS, S.; CASTELLANOS, M.E.; PERRA, S.
Comparison of objective Bayes factors for variable selection in parametric regression models for survival analysis, Statistics in Medicine, Vol. 33, Núm. 26, 2014, pp. 4637-4654.

CABRAS, S.; CASTELLANOS, M.E.; RULI, E.
A Quasi likelihood approximation of posterior distributions for likelihood-intractable complex models, Metron, Vol. 72, Núm. 2, 2014, pp. 153-167.

• FIRINU, D.; BARCA, M.P.; LORRAI, M.M.; PERRA, S.; CABRAS, S.; MUGGIANU, E.; DI MARTINO, M.L.; MANCONI, P.E.; DEL GIACCO, S.R.
T(H)17 cells are increased in the peripheral blood of patients with SAPHO syndrome, Autoimmunity, Vol. 47, Núm. 6, 2014, pp. 389-394, PAISES BAJOS.

• PAVANI, S.K.; DELGADO, D.; FRANGI, A.F.
Gaussian weak classifiers based on co-occurring Haar-like features for face detection, Pattern Analysis and Applications, Vol. 17, Núm. 2, 2014, pp. 431-439, REINO UNIDO.

• PAVANI, S.K.; DELGADO, D.; FRANGI, A.
Fast training procedure for Viola-Jones type object detectors using Laplacian clutter models, Pattern Analysis and Applications, Vol 17, Num 2, 2014, pp. 441-449, REINO UNIDO.

• BASILE, R.; DURBAN, M. L.; MINGUEZ, R.; MONTERO, J.M.; MUR, J.
Modeling regional economic dynamics: spatial dependence, spatial heterogeneity and nonlinearities, Journal of Economic Dynamics and Control, Vol. 48, 2014, pp. 229-245, HOLANDA.

FLORES, R.J.; MOLINA, E.; TEJADA, J.
Pyramidal values, Annals of Operationes Research, Vol. 217, 2014 pp. 233-252, ESTADOS UNIDOS.

• ANTOLIN, Y.; FLORES, R.J.
On the classifying space for proper actions of groups with cyclic torsion, Forum Mathematicum, Vol. 26, Núm. 1, 2014, pp. 271-294, ALEMANIA.

GALÁN, J.E.; POLLITT, M.G.
Inefficiency persistence and heterogeneity in Colombian electricity utilities, Energy Economics, Vol. 46, 2014, pp. 31-44, REINO UNIDO.

GALEANO, P.; WIED, D.
Multiple break detection in the correlation structure of random variables, Computational Statistics and Data Analysis, Vol. 76, 2014, pp. 262-282, HOLANDA.

GRANE, A.; VEIGA, M.H.
Outliers, GARCH-type models and risk measures: a comparison of several approaches, Journal of Empirical Finance, Vol. 26, 2014, pp. 26-40, HOLANDA.

JIMENEZ, R.J.; HIDALGO, M.
Forensic Analysis of Venezuelan Elections during the Chávez Presidency, PloS one, Vol. 9, Núm. 6, 2014, pp. 1-18, ESTADOS UNIDOS.

 

• LANIADO, H.; LILLO, R. E.
Allocation policies of redundancies in two-parallel-series and two-series-parallel systems, IEEE Transactions on Reliability, Vol. 63, Núm. 1, 2014, pp. 223-229, ESTADOS UNIDOS.

• MARTIN, B.; LILLO, R. E.; ROMO, J.
Interpretable support vector machines for functional data, European Journal of Operational Research, Vol. 232, Núm. 1, 2014, pp. 146-155, HOLANDA.

• RAMIREZ, P.; LILLO, R. E. ; WIPER, M. P.
Identifiability of the MAP(2)/G/1 queueing system, Top, Vol. 22, Núm. 1, 2014, pp. 274-289, ALEMANIA.

• PALACIOS, A.P.; MARIN, J.M.; QUINTO, E.J.; WIPER, M. P.
Bayesian modeling of bacterial growth for multiple populations, Annals of Applied Statistics, Vol. 8, Núm. 3, 2014, pp. 1516-1537, ESTADOS UNIDOS.

MARTIN, N.; MATA, R.; PARDO, L.
Phi-divergence statistics for the likelihood ratio order: an approach based on log-linear models, Journal of Multivariate Analysis, Vol. 130, 2014, pp. 387-408, ESTADOS UNIDOS.

MARTIN, N.; PARDO, L.
New influence measures in polytomous logistic regression models based on phi-divergence measures, Communications in statistics. Theory and methods, Vol. 43, Núm. 10-12, 2014, pp. 2311-2321, ESTADOS UNIDOS.

• BATSIDIS, A.; MARTIN, N.; PARDO, L.; ZOGRAFOS, K.
A necessary power divergence-type family of tests for testing elliptical symmetry, Journal of Statistical Computation and Simulation, Vol. 84, Núm. 1, 2014, pp. 57-83, ESTADOS UNIDOS.

MARTIN, N.; PARDO, L.
Comments on: Extensions of some classical methods in change point analysis, Test, Vol. 23, Núm. 2, 2014, pp. 279-282, ESPAÑA.

MARTOS, G.A.; MUÑOZ, A. ; GONZALEZ, J.
Generalizing the Mahalanobis distance via density kernels, Journal of Intelligent Data Analysis, Vol. 18, 2014, pp. 19-31, HOLANDA.

MOLINA, I.; NANDRAM, B.; RAO, J.N.K.
Small area estimation of general parameters with application to poverty indicators: a hierarchical Bayes approach, Annals of Applied Statistics, Vol. 8, Núm. 2, 2014, pp. 852-885, ESTADOS UNIDOS.

• PEREZ, B.; MOLINA, I.; PEÑA, D.
Outlier detection and robust estimation in linear regression models with fixed group effects, Journal of Statistical Computation and Simulation, Vol. 84, Núm. 12, 2014, pp. 2652-2669, ESTADOS UNIDOS.

• BERBOTTO, L.M.; GARCIA, S.; NOGALES, F. J.
A Randomized Granular Tabu Search heuristic for the split delivery vehicle routing problem, Annals of Operations Research, Vol. 222, Núm. 1, 2014, pp. 153-173, HOLANDA.

• DE MIGUEL, V.; NOGALES, F. J.; UPPAL, R.
Stock return serial dependence and out-of-sample portfolio performance, Review of Financial Studies, Vol. 27, Núm. 4, 2014, pp. 1031-1073, REINO UNIDO.


PEÑA, D.
Big data y estadistica: ¿tendencia o cambio?, Boletín de Estadística e Investigación Operativa, Vol. 30, Núm. 3, 2014, pp. 313-324, ESPAÑA.

• SILVA, J.E.; GUERRERO, V.; PEÑA, D.
Suavizamiento controlado de tasas de mortalidad con P-splines: Aplicaciones para México y el Reino Unido = Smoothing controlled mortality rates P-splines: Applications to Mexico and the United Kingdom, Papeles de población, Vol. 20, Núm. 79, 2014, pp. 99-131, MEXICO.

• VEERMAN, J.J.P.; PRIETO, F.J.
On rank driven dynamical systems, Journal of Statistical Physics, Vol. 156, Núm. 3, 2014, pp. 455-472, ESTADOS UNIDOS.

• ALVAREZ, M. J.; FERNÁNDEZ, R.I.; ROMERA, M.R.
¿Es la eco-innovación una estrategia inteligente de especialización para Andalucía? Una aproximación desde el análisis multivariante, Revista de Estudios Regionales, Núm. 100, 2014, pp. 171-196, ESPAÑA.

• MAYORDOMO, S.; PEÑA, J. I. ; ROMO, J.
Testing for statistical arbitrage in credit derivatives markets, Journal of Empirical Finance, Vol. 26, 2014, pp. 59-75, HOLANDA.

• KUZNETSOVA, E.; LI, Y.F.; RUIZ, C.; ZIO, E.
An integrated framework of agent-based modelling and robust optimization for microgrid energy management, Applied Energy, Vol. 129, 2014, pp. 70-88, REINO UNIDO.

• MENA, R.; HENNEBEL, M.; LI, Y.F.; RUIZ, C.; ZIO, E.
A risk-based simulation and multi-objective optimization framework for the integration of distributed renewable generation and storage, Renewable and Sustainable Energy Reviews, Vol. 37, 2014, pp. 778-793, REINO UNIDO.

SGUERA, C.; GALEANO, P.; LILLO, R. E.
Spatial depth-based classification for functional data, Test, Vol. 23, Núm. 4, 2014, pp. 725-750, ESPAÑA.

STRZALKOWSKA, E.; CAO, R.
Beran-based approach for single-index models under censoring, Computational Statistics, Vol. 29, Núm. 5, 2014, pp. 1243-1261, ALEMANIA.

STRZALKOWSKA, E.; MAHDIZADEH, M.
On the Kaplan-Meier estimator based on ranked set samples, Journal of Statistical Computation and Simulation, Vol. 84, Núm. 12, 2014, pp. 2577-2591, ESTADOS UNIDOS.

TENA. J.D; PAOLINI, D.
Capital investment and managerial efficiency, a simple model for sport clubs, Rivista Internazionale di Scienze Sociali, Vol. 3, Núm. 122, 2014, pp. 321-330.

TENA. J.D; MARQUES, H. y PINO, G.
Regional inflation dynamics using space-time models, Empirical Economics, Vol. 47, 2014, pp. 1147-1172. AUSTRIA.

VEIGA, H.; WIPER, M. P.; GALAN, J.
Bayesian estimation of inefficiency heterogeneity in stochastic frontier models, Journal of Productivity Analysis, 2014, pp. 85-101, ESTADOS UNIDOS.
VELILLA, S.
On the Properties of the SAVE Directions, Communications in statistics. Theory and methods, Vol. 43, Núm. 21, 2014, pp. 4612-4627, ESTADOS UNIDOS DE AMERICA.