| Breast carcinomas fulfill the Warburg hypothesis and provide metabolic markers of cancer prognosis A Isidoro, E Casado, A Redondo, P Acebo, E Espinosa, AM Alonso, ... Carcinogenesis 26 (12), 2095-2104, 2005 | 227 | 2005 |
| Overview of object oriented data analysis JS Marron, AM Alonso Biometrical Journal 56 (5), 732-753, 2014 | 211 | 2014 |
| The bioenergetic signature of lung adenocarcinomas is a molecular marker of cancer diagnosis and prognosis JM Cuezva, G Chen, AM Alonso, A Isidoro, DE Misek, SM Hanash, ... Carcinogenesis 25 (7), 1157-1163, 2004 | 182 | 2004 |
| Forecasting time series with sieve bootstrap AM Alonso, D Peña, J Romo Journal of Statistical Planning and Inference 100 (1), 1-11, 2002 | 141* | 2002 |
| Time series clustering based on forecast densities AM Alonso, JR Berrendero, A Hernández, A Justel Computational Statistics & Data Analysis 51 (2), 762-776, 2006 | 110 | 2006 |
| Discriminant analysis of multivariate time series: Application to diagnosis based on ECG signals EA Maharaj, AM Alonso Computational Statistics & Data Analysis 70, 67-87, 2014 | 99 | 2014 |
| Seasonal dynamic factor analysis and bootstrap inference: application to electricity market forecasting AM Alonso, C García-Martos, J Rodríguez, M Jesús Sánchez Technometrics 53 (2), 137-151, 2011 | 71 | 2011 |
| Summarising changes in air temperature over Central Europe by quantile regression and clustering SM Barbosa, MG Scotto, AM Alonso Natural Hazards and Earth System Sciences 11 (12), 3227-3233, 2011 | 69 | 2011 |
| Non-linear time series clustering based on non-parametric forecast densities JA Vilar, AM Alonso, JM Vilar Computational Statistics & Data Analysis 54 (11), 2850-2865, 2010 | 63 | 2010 |
| Clustering time series by linear dependency AM Alonso, D Peña Statistics and Computing 29, 655-676, 2019 | 54 | 2019 |
| Fuzzy clustering of time series using extremes P D'Urso, EA Maharaj, AM Alonso Fuzzy Sets and Systems 318, 56-79, 2017 | 52 | 2017 |
| On sieve bootstrap prediction intervals AM Alonso, D Peña, J Romo Statistics & Probability Letters 65 (1), 13-20, 2003 | 52 | 2003 |
| Supervised classification for functional data: A weighted distance approach AM Alonso, D Casado, J Romo Computational Statistics & Data Analysis 56 (7), 2334-2346, 2012 | 51 | 2012 |
| Tuberculosis in the Republic of Cuba: its possible elimination E Gonzalez, L Armas, A Alonso Tubercle and Lung Disease 75 (3), 188-194, 1994 | 50 | 1994 |
| Discrimination of locally stationary time series using wavelets EA Maharaj, AM Alonso Computational Statistics & Data Analysis 52 (2), 879-895, 2007 | 45 | 2007 |
| Comparison of time series using subsampling AM Alonso, EA Maharaj Computational statistics & data analysis 50 (10), 2589-2599, 2006 | 44 | 2006 |
| Hierarchical clustering for smart meter electricity loads based on quantile autocovariances AM Alonso, FJ Nogales, C Ruiz IEEE Transactions on Smart Grid 11 (5), 4522-4530, 2020 | 41 | 2020 |
| Introducing model uncertainty in time series bootstrap AM Alonso, D Pena, J Romo Statistica Sinica, 155-174, 2004 | 40 | 2004 |
| Trends in ozone concentrations in the Iberian Peninsula by quantile regression and clustering A Monteiro, A Carvalho, I Ribeiro, M Scotto, S Barbosa, A Alonso, ... Atmospheric environment 56, 184-193, 2012 | 39 | 2012 |
| Clustering time series of sea levels: Extreme value approach MG Scotto, AM Alonso, SM Barbosa Journal of waterway, port, coastal, and ocean engineering 136 (4), 215-225, 2010 | 39 | 2010 |
DANIEL PEÑAUniversidad Carlos III de Madrid, Spain在 est-econ.uc3m.es 的电子邮件经过验证
