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Pamela Llop
Pamela Llop
FIQ, UNL and CONICET
Verified email at fiq.unl.edu.ar
Title
Cited by
Cited by
Year
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
262014
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
162012
A nonlinear aggregation type classifier
A Cholaquidis, R Fraiman, J Kalemkerian, P Llop
Journal of Multivariate Analysis 146, 269-281, 2016
102016
Supervised dimension reduction for ordinal predictors
L Forzani, RG Arancibia, P Llop, D Tomassi
Computational Statistics & Data Analysis 125, 136-155, 2018
92018
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
92014
On the classification problem for Poisson point processes
A Cholaquidis, L Forzani, P Llop, L Moreno
Journal of Multivariate Analysis 153, 1-15, 2017
82017
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
72011
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
62023
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
32022
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
22014
Nonparametric prediction for univariate spatial data: Methods and applications
RG Arancibia, P Llop, M Lovatto
Papers in Regional Science 102 (3), 635-672, 2023
12023
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
12022
Sufficient dimension reduction for ordinal predictors
L Forzani, P Llop, D Tomassi, RG Arancibia
arXiv preprint arXiv:1511.05491, 2015
12015
An optimal aggregation type classifier
A Cholaquidis, R Fraiman, J Kalemkerian, P Llop
Contributions in infinite-dimensional statistics and related topics, 85-90, 2014
12014
Density estimation for spatial-temporal data
L Forzani, R Fraiman, P Llop
Recent Advances in Functional Data Analysis and Related Topics, 117-121, 2011
12011
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
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