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Liliana Forzani
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2020 – today
- 2024
- [j15]Eric Koplin, Liliana Forzani, Diego Tomassi, Ruth M. Pfeiffer:
Sufficient dimension reduction for a novel class of zero-inflated graphical models. Comput. Stat. Data Anal. 196: 107959 (2024) - 2023
- [j14]R. Dennis Cook, Liliana Forzani, Lan Liu
:
Partial least squares for simultaneous reduction of response and predictor vectors in regression. J. Multivar. Anal. 196: 105163 (2023) - 2022
- [j13]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) - [j12]Isaías Ibañez
, Liliana Forzani
, Diego Tomassi
:
Generalized discriminant analysis via kernel exponential families. Pattern Recognit. 132: 108933 (2022)
2010 – 2019
- 2019
- [j11]Liliana Forzani
, Daniela Rodriguez
, Ezequiel Smucler, Mariela Sued:
Sufficient dimension reduction and prediction in regression: Asymptotic results. J. Multivar. Anal. 171: 339-349 (2019) - 2018
- [j10]Liliana Forzani
, Rodrigo García Arancibia
, Pamela Llop, Diego Tomassi
:
Supervised dimension reduction for ordinal predictors. Comput. Stat. Data Anal. 125: 136-155 (2018) - 2017
- [j9]Alejandro Cholaquidis, Liliana Forzani
, Pamela Llop, Leonardo Moreno
:
On the classification problem for Poisson point processes. J. Multivar. Anal. 153: 1-15 (2017) - [j8]Liliana Forzani
, Antonella Gieco
, Carlos F. Tolmasky:
Likelihood ratio test for partial sphericity in high and ultra-high dimensions. J. Multivar. Anal. 159: 18-38 (2017) - 2016
- [j7]R. Dennis Cook, Liliana Forzani
, Zhihua Su:
A note on fast envelope estimation. J. Multivar. Anal. 150: 42-54 (2016) - 2015
- [j6]Liliana Forzani
, Carlos F. Tolmasky:
On the Level-Slope-Curvature Effect in Yield Curves and Eventual Total Positivity. SIAM J. Financial Math. 6(1): 900-918 (2015) - 2014
- [j5]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
- [j4]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
- [j3]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) - 2010
- [j2]Diego Tomassi
, Diego H. Milone
, Liliana Forzani
:
Minimum classification error learning for sequential data in the wavelet domain. Pattern Recognit. 43(12): 3998-4010 (2010)
2000 – 2009
- 2009
- [j1]Diego Tomassi, Diego H. Milone, Liliana Forzani:
Minimum Classification Error Training of Hidden Markov Models for Sequential Data in the Wavelet Domain. Inteligencia Artif. 13(44): 46-55 (2009)
Coauthor Index

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