Detecting trends in time series of functional data: A study of Antarctic climate change R Fraiman, A Justel, R Liu, P Llop Canadian Journal of Statistics 42 (4), 597-609, 2014 | 27 | 2014 |
Consistent nonparametric regression for functional data under the Stone–Besicovitch conditions L Forzani, R Fraiman, P Llop IEEE transactions on information theory 58 (11), 6697-6708, 2012 | 16 | 2012 |
A nonlinear aggregation type classifier A Cholaquidis, R Fraiman, J Kalemkerian, P Llop Journal of Multivariate Analysis 146, 269-281, 2016 | 10 | 2016 |
On the estimation of the medial axis and inner parallel body A Cuevas, P Llop, B Pateiro-López Journal of Multivariate Analysis 129, 171-185, 2014 | 10 | 2014 |
Supervised dimension reduction for ordinal predictors L Forzani, RG Arancibia, P Llop, D Tomassi Computational Statistics & Data Analysis 125, 136-155, 2018 | 9 | 2018 |
On the classification problem for Poisson point processes A Cholaquidis, L Forzani, P Llop, L Moreno Journal of Multivariate Analysis 153, 1-15, 2017 | 8 | 2017 |
On local times, density estimation and supervised classification from functional data P Llop, L Forzani, R Fraiman Journal of multivariate analysis 102 (1), 73-86, 2011 | 7 | 2011 |
Socioeconomic index for income and poverty prediction: A sufficient dimension reduction approach S Duarte, L Forzani, P Llop, R García Arancibia, D Tomassi Review of Income and Wealth 69 (2), 318-346, 2023 | 6 | 2023 |
Sufficient reductions in regression with mixed predictors E Bura, L Forzani, RG Arancibia, P Llop, D Tomassi Journal of Machine Learning Research 23 (102), 1-47, 2022 | 4 | 2022 |
Corrigendum to “Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions” L Forzani, R Fraiman, P Llop IEEE Transactions on Information Theory 5 (60), 3069, 2014 | 2 | 2014 |
Nonparametric prediction for univariate spatial data: Methods and applications RG Arancibia, P Llop, M Lovatto Papers in Regional Science 102 (3), 635-672, 2023 | 1 | 2023 |
Prediction of leptospirosis outbreaks by hydroclimatic covariates: a comparative study of statistical models MJ Llop, A Gómez, P Llop, MS López, GV Müller International Journal of Biometeorology 66 (12), 2529-2540, 2022 | 1 | 2022 |
Sufficient dimension reduction for ordinal predictors L Forzani, P Llop, D Tomassi, RG Arancibia arXiv preprint arXiv:1511.05491, 2015 | 1 | 2015 |
An optimal aggregation type classifier A Cholaquidis, R Fraiman, J Kalemkerian, P Llop Contributions in infinite-dimensional statistics and related topics, 85-90, 2014 | 1 | 2014 |
Density estimation for spatial-temporal data L Forzani, R Fraiman, P Llop Recent Advances in Functional Data Analysis and Related Topics, 117-121, 2011 | 1 | 2011 |
Some results on statistics and functional data analysis S Dabo-Niang, J Ah-Pine, P Llop, AF Yao ESAIM: Proceedings and Surveys 74, 2-18, 2023 | | 2023 |
SOCIOECONOMIC INDEX FOR INCOME AND POVERTY PREDICTION: A SUFFICIENT DIMENSION REDUCTION APPROACH by SABRINA DUARTE L FORZANI, P LLOP, D TOMASSI | | 2021 |
Nonparametric regression based on discretely sampled curves L Forzani, R Fraiman, P Llop REVSTAT-Statistical Journal 18 (1), 1–26-1–26, 2020 | | 2020 |
Comparing statistical methods to predict leptospirosis incidence using hydro-climatic covariables MJ Llop, P Llop, MS López, A Gómez, GV Muller arXiv preprint arXiv:1910.02017, 2019 | | 2019 |
On the Estimation of the Central Core of a Set. Algorithms to Estimate the λ-Medial Axis A Cuevas, P Llop, B Pateiro-López 19th European Young Statisticians Meeting, 31, 2015 | | 2015 |