Juan Romo

发表

Robust Functional Supervised Classification for Time Series

Sara López-Pintado, Andrés M. Alonso, David Casado, 2014, J. Classif..

Missing Values Resampling for Time Series

Juan Romo, Andrés M. Alonso, Daniel Peña, 2002, COMPSTAT.

Supervised classification for functional data: A weighted distance approach

Andrés M. Alonso, David Casado, Juan Romo, 2012, Comput. Stat. Data Anal..

Robust Functional Classication for Time Series

David Casado, Juan Romo, M. Alonso, 2011 .

Extremality for Functional Data

Juan Romo, Rosa E. Lillo, Alba M. Franco-Pereira, 2011 .

Prediction intervals for nearly nonstationary AR(1)-processes

Juan Romo, Nélida E. Ferretti, 1993 .

Bootstrap predictive inference for ARIMA processes

Juan Romo, Lorenzo Pascual, Esther Ruiz, 2004 .

Introducing model uncertainty in time series bootstrap

Juan Romo, Andrés M. Alonso, Daniel Peña, 2001 .

A functional data based method for time series classification

Juan Romo, Sara López Pintado, David Casado, 2008 .

Forecast of the expected non-epidemic morbidity of acute diseases using resampling methods

Juan Romo, Andrés M. Alonso, 2005 .

Depth-based inference for functional data

Juan Romo, Sara López-Pintado, 2007, Comput. Stat. Data Anal..

Bootstrap prediction for returns and volatilities in GARCH models

Juan Romo, Lorenzo Pascual, Esther Ruiz, 2006, Comput. Stat. Data Anal..

Depth-based classification for functional data

Juan Romo, Sara López-Pintado, J. Romo, 2005, Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications.

Special issue on robust analysis of complex data

Stefan Van Aelst, Juan Romo, Christophe Croux, 2013, Comput. Stat. Data Anal..

Introducing model uncertainty by moving blocks bootstrap

Juan Romo, Andrés M. Alonso, Daniel Peña, 2006 .

roahd Package: Robust Analysis of High Dimensional Data

Francesca Ieva, Anna Maria Paganoni, Juan Romo, 2019, R J..

Shape outlier detection and visualization for functional data: the outliergram.

Juan Romo, Ana Arribas-Gil, J. Romo, 2013, Biostatistics.

A half-region depth for functional data

Juan Romo, Sara López-Pintado, J. Romo, 2011, Comput. Stat. Data Anal..

Robust Analysis of High Dimensional Data [R package roahd version 1.4.2]

Francesca Ieva, Anna Maria Paganoni, Juan Romo, 2020 .

A Kendall correlation coefficient between functional data

Juan Romo, Rosa E. Lillo, Dalia Valencia, 2019, Adv. Data Anal. Classif..

Discussion of “ Multivariate Functional Outlier Detection ”

Juan Romo, Ana Arribas-Gil, J. A. Cuesta-Albertos, 2015 .

Automatic elimination of the pectoral muscle in mammograms based on anatomical features pdf

Juan Romo, Rosa E. Lillo, Jairo A. Ayala-Godoy, 2020, ArXiv.

Interpretable support vector machines for functional data

Juan Romo, Belen Martin-Barragan, Rosa Lillo, 2014, Eur. J. Oper. Res..

Band depth based initialization of K-means for functional data clustering

Aurora Torrente, Juan Romo, Javier Albert-Smet, 2021, Advances in Data Analysis and Classification.

On sieve bootstrap prediction intervals

Juan Romo, Andrés M. Alonso, Daniel Peña, 2003 .

Resampling time series using missing values techniques

Juan Romo, Andrés M. Alonso, Daniel Peña, 2003 .

On robustness properties of bootstrap approximations

Juan Romo, Antonio Cuevas, J. Romo, 1993 .

Percentile residual life orders

Moshe Shaked, Juan Romo, Rosa E. Lillo, 2011 .

Unit root bootstrap tests for AR(1) models

Juan Romo, Nélida E. Ferretti, J. Romo, 1996 .

Comparing quantile residual life functions by confidence bands

Juan Romo, Rosa E. Lillo, Alba M. Franco-Pereira, 2012, Lifetime data analysis.

The theory of search from a statistical viewpoint

Juan Romo, Anatoly Zhigljavsky, Henry P. Wynn, 1994 .

Bootstrap prediction intervals for power-transformed time series

Juan Romo, Lorenzo Pascual, Esther Ruiz, 2005 .

Effects of parameter estimation on prediction densities: a bootstrap approach

Juan Romo, Lorenzo Pascual, Esther Ruiz, 1999 .

Robust depth-based estimation in the time warping model.

Juan Romo, Ana Arribas-Gil, 2012, Biostatistics.

Modelling intra-daily volatility by functional data analysis: an empirical application to the spanish stock market

Juan Romo, Esther Ruiz, J. Romo, 2009 .

Forecasting time series with sieve bootstrap

Juan Romo, Daniel Peña, J. Romo, 2002 .

Homogeneity test for functional data based on depth measures

Juan Romo, Rosa E. Lillo, Ramón Jesús Flores Díaz, 2014 .

Data learning from big data

Juan Romo, Jos'e L. Torrecilla, 2018 .

Homogeneity test for functional data

Juan Romo, Rosa Lillo, Ram'on Flores, 2015, 1507.01835.

Multivariate extremality measure

Juan Romo, Rosa E. Lillo, Henry Laniado, 2010 .