Shape outlier detection and visualization for functional data: the outliergram A Arribas-Gil, J Romo Biostatistics 15 (4), 603-619, 2014 | 185 | 2014 |
Patient No-Show Prediction: A Systematic Literature Review D Carreras-García, D Delgado-Gómez, F Llorente-Fernández, ... Entropy 22 (6), 675, 2020 | 58 | 2020 |
Pairwise dynamic time warping for event data A Arribas-Gil, HG Müller Computational Statistics & Data Analysis 69, 255-268, 2014 | 31 | 2014 |
LASSO-type estimators for semiparametric nonlinear mixed-effects models estimation A Arribas-Gil, K Bertin, C Meza, V Rivoirard Statistics and Computing 24 (3), 443-460, 2014 | 23 | 2014 |
Robust depth-based estimation in the time warping model A Arribas-Gil, J Romo Biostatistics 13 (3), 398-414, 2012 | 21 | 2012 |
roahd: Robust Analysis of High Dimensional Data N Tarabelloni, A Arribas-Gil, F Ieva, AM Paganoni, J Romo R package version 1, 2017 | 18 | 2017 |
Bayesian regression analysis of data with random effects covariates from nonlinear longitudinal measurements R De la Cruz, C Meza, A Arribas-Gil, RJ Carroll Journal of Multivariate Analysis 143, 94-106, 2016 | 18 | 2016 |
Classification of longitudinal data through a semiparametric mixed‐effects model based on lasso‐type estimators A Arribas‐Gil, R De la Cruz, E Lebarbier, C Meza Biometrics 71 (2), 333-343, 2015 | 18 | 2015 |
Parameter Estimation in Pair‐hidden Markov Models ANA ARRIBAS‐GIL, E Gassiat, C Matias Scandinavian journal of statistics 33 (4), 651-671, 2006 | 15 | 2006 |
Constructing a Children’s Subjective Well-Being Index: an Application to Socially Vulnerable Spanish Children A Grané, I Albarrán, A Arribas-Gil Child Indicators Research, 1-20, 2019 | 14 | 2019 |
Statistical alignment with a sequence evolution model allowing rate heterogeneity along the sequence A Arribas-Gil, D Metzler, JL Plouhinec Computational Biology and Bioinformatics, IEEE/ACM Transactions on 6 (2 …, 2009 | 13 | 2009 |
Dependence evolution in the Spanish disabled population: a functional data analysis approach I Albarrán‐Lozano, PJ Alonso‐González, A Arribas‐Gil Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2017 | 12 | 2017 |
Dependency evolution in Spanish disabled population: a functional data analysis approach P Alonso González, I Albarrán, A Arribas Gil DES-Working Papers. Statistics and Econometrics. WS, 2013 | 12* | 2013 |
Predicting pregnancy outcomes using longitudinal information: a penalized splines mixed‐effects model approach R De la Cruz, C Fuentes, C Meza, DJ Lee, A Arribas‐Gil Statistics in medicine 36 (13), 2120-2134, 2017 | 10 | 2017 |
Discussion of “Multivariate functional outlier detection” A Arribas-Gil, J Romo Statistical Methods & Applications 24 (2), 263-267, 2015 | 9 | 2015 |
How Functional Data Can Enhance The Estimation Of Health Expectancy: The Case Of Disabled Spanish Population I Albarrán, PJ Alonso-González, A Arribas-Gil, A Grané ASTIN Bulletin: The Journal of the IAA 49 (1), 57-84, 2019 | 5 | 2019 |
A context dependent pair hidden Markov model for statistical alignment A Arribas-Gil, C Matias Statistical applications in genetics and molecular biology 11 (1), 1-29, 2012 | 4 | 2012 |
Can Personal Dependency Paths Help to Estimate Life Expectancy Free of Dependency? I Albarrán, P Alonso, A Arribas-Gil, A Grané Mathematical and Statistical Methods for Actuarial Sciences and Finance, 1-5, 2014 | 3 | 2014 |
A time warping approach to multiple sequence alignment A Arribas-Gil, C Matias Statistical applications in genetics and molecular biology 16 (2), 133-144, 2017 | 2 | 2017 |
Parameter Estimation in multiple-hidden iid models from biological multiple alignment A Arribas-Gil Statistical applications in genetics and molecular biology 9 (1), 2010 | 2 | 2010 |