Mariano J. Valderrama

According to our database, Mariano J. Valderrama authored at least 18 papers between 1989 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Introducing a bibliometric index based on factor analysis.

Pilar Valderrama, Evaristo Jiménez-Contreras, Manuel Escabias, Mariano J. Valderrama

Scientometrics, 2022

2018

A mixed longitudinal and cross-sectional model to forecast the journal impact factor in the field of Dentistry.

Pilar Valderrama, Manuel Escabias, Evaristo Jiménez-Contreras, Mariano J. Valderrama, Pilar Baca

Scientometrics, 2018

Proposal of a stochastic model to determine the bibliometric variables influencing the quality of a journal: application to the field of Dentistry.

Pilar Valderrama, Manuel Escabias, Evaristo Jiménez-Contreras, Alberto Rodríguez-Archilla, Mariano J. Valderrama

Scientometrics, 2018

2008

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

Ana M. Aguilera, Manuel Escabias, Mariano J. Valderrama

Comput. Stat. Data Anal., 2008

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

Ana M. Aguilera, Manuel Escabias, Mariano J. Valderrama

Comput. Stat. Data Anal., 2008

2007

An overview to modelling functional data.

Mariano J. Valderrama

Comput. Stat., 2007

Functional PLS logit regression model.

Manuel Escabias, Ana M. Aguilera, Mariano J. Valderrama

Comput. Stat. Data Anal., 2007

2006

On the structure of the stochastic process of mortgages in Spain.

Paula R. Bouzas, Ana M. Aguilera, Mariano J. Valderrama, Nuria Ruiz-Fuentes

Comput. Stat., 2006

Modelling the mean of a doubly stochastic Poisson process by functional data analysis.

Paula R. Bouzas, Mariano J. Valderrama, Ana M. Aguilera, Nuria Ruiz-Fuentes

Comput. Stat. Data Anal., 2006

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

Ana M. Aguilera, Manuel Escabias, Mariano J. Valderrama

Comput. Stat. Data Anal., 2006

2003

Derivation of a State-Space Model by Functional Data Analysis.

Mariano J. Valderrama, Mónica Ortega-Moreno, Pedro González, Ana M. Aguilera

Comput. Stat., 2003

2002

Forecasting PC-ARIMA Models for Functional Data.

Mariano J. Valderrama, Francisco A. Ocaña, Ana M. Aguilera

Proceedings of the COMPSTAT 2002, 2002

A State Space Model for Non-Stationary Functional Data¹.

Mónica Ortega-Moreno, Mariano J. Valderrama, Juan Carlos Ruiz-Molina

Proceedings of the COMPSTAT 2002, 2002

2000

A solution to linear estimation problems using approximate Karhunen-Loéve expansions.

Jesús Navarro-Moreno, Juan Carlos Ruiz-Molina, Mariano J. Valderrama

IEEE Trans. Inf. Theory, 2000

1999

Forecasting time series by functional PCA. Discussion of several weighted approaches.

Ana M. Aguilera, Francisco A. Ocaña, Mariano J. Valderrama

Comput. Stat., 1999

1998

Time Series Forecasting by Principal Component Methods.

Mariano J. Valderrama, Ana M. Aguilera, Juan Carlos Ruiz-Molina

Proceedings of the COMPSTAT 1998, 1998

Essay of a Dynamic Regression by Principal Components Model for Correlated Time Series.

M. J. Del Moral, Mariano J. Valderrama

Proceedings of the COMPSTAT 1998, 1998

1989

On the Gaussian characterization of certain second-order processes with specified covariance.

Ramón Gutiérrez, Mariano J. Valderrama

IEEE Trans. Inf. Theory, 1989