Publicaciones en las que colabora con MARIANO JOSÉ VALDERRAMA BONNET (22)

2022

  1. Introducing a bibliometric index based on factor analysis

    Scientometrics, Vol. 127, Núm. 1, pp. 509-522

2019

  1. Bibliometric variables determining the quality of a dentistry journal

    Data Analysis and Applications 2: Utilization of Results in Europe and Other Topics (wiley), pp. 29-36

2015

  1. Evaluation of smoothing techniques in the run to run optimization of fed-batch processes with u-PLS

    Journal of Chemometrics, Vol. 29, Núm. 6, pp. 338-348

  2. Functional Wavelet-Based Modelling of Dependence Between Lupus and Stress

    Methodology and Computing in Applied Probability, Vol. 17, Núm. 4, pp. 1015-1028

  3. Modelización funcional de la rentabilidad del índice IBEX35

    XXXV Congreso Nacional SEIO: IX Jornadas de Estadística Pública : Universidad Pública de Navarra, Pamplona, del 26 al 29 de mayo de 2015

2013

  1. Penalized spline approaches for functional logit regression

    Test, Vol. 22, Núm. 2, pp. 251-277

  2. Stepwise selection of functional covariates in forecasting peak levels of olive pollen

    Stochastic Environmental Research and Risk Assessment, Vol. 27, Núm. 2, pp. 367-376

2008

  1. Discussion of different logistic models with functional data. Application to Systemic Lupus Erythematosus

    Computational Statistics and Data Analysis, Vol. 53, Núm. 1, pp. 151-163

  2. Forecasting binary longitudinal data by a functional PC-ARIMA model

    Computational Statistics and Data Analysis, Vol. 52, Núm. 6, pp. 3187-3197

2007

  1. Alternatives to the estimation of the functional multinomial regression model

    Recent Advances in Stochastic Modeling and Data Analysis (World Scientific Publishing Co.), pp. 537-541

  2. Estimación en components principales de un modelo logit nominal funcional

    XXX Congreso Nacional de Estadística e Investigación Operativa y de las IV Jornadas de Estadística Pública: actas

  3. Functional PLS logit regression model

    Computational Statistics and Data Analysis, Vol. 51, Núm. 10, pp. 4891-4902

2006

  1. Using principal components for estimating logistic regression with high-dimensional multicollinear data

    Computational Statistics and Data Analysis, Vol. 50, Núm. 8, pp. 1905-1924