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2020 – today
- 2022
[j8]Efstathia Bura, Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi:
Sufficient reductions in regression with mixed predictors. J. Mach. Learn. Res. 23: 102:1-102:47 (2022)
2010 – 2019
- 2018
- [j7]Liliana Forzani
, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi:
Supervised dimension reduction for ordinal predictors. Comput. Stat. Data Anal. 125: 136-155 (2018) - 2017
- [j6]Alejandro Cholaquidis, Liliana Forzani, Pamela Llop, Leonardo Moreno:
On the classification problem for Poisson point processes. J. Multivar. Anal. 153: 1-15 (2017) - 2016
- [j5]Alejandro Cholaquidis, Ricardo Fraiman, Juan Kalemkerian, Pamela Llop:
A nonlinear aggregation type classifier. J. Multivar. Anal. 146: 269-281 (2016) - 2014
- [j4]Antonio Cuevas, Pamela Llop, Beatriz Pateiro-López:
On the estimation of the medial axis and inner parallel body. J. Multivar. Anal. 129: 171-185 (2014) - [j3]Liliana Forzani, Ricardo Fraiman, Pamela Llop:
Corrigendum to "Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions". IEEE Trans. Inf. Theory 60(5): 3069 (2014) - 2012
- [j2]Liliana Forzani, Ricardo Fraiman, Pamela Llop:
Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions. IEEE Trans. Inf. Theory 58(11): 6697-6708 (2012) - 2011
- [j1]Pamela Llop, Liliana Forzani, Ricardo Fraiman:
On local times, density estimation and supervised classification from functional data. J. Multivar. Anal. 102(1): 73-86 (2011)
Coauthor Index
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