Liliana Forzani

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2024 J jnl
Sufficient dimension reduction for a novel class of zero-inflated graphical models.
Comput. Stat. Data Anal.
Eric Koplin, Liliana Forzani, Diego Tomassi, Ruth M. Pfeiffer
2023 J jnl
Partial least squares for simultaneous reduction of response and predictor vectors in regression.
J. Multivar. Anal.
R. Dennis Cook, Liliana Forzani, Lan Liu
2022 J jnl
Generalized discriminant analysis via kernel exponential families.
Pattern Recognit.
Isaías Ibañez, Liliana Forzani, Diego Tomassi
2022 J jnl
Sufficient reductions in regression with mixed predictors.
J. Mach. Learn. Res.
Efstathia Bura, Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi
2019 J jnl
Sufficient dimension reduction and prediction in regression: Asymptotic results.
J. Multivar. Anal.
Liliana Forzani, Daniela Rodriguez, Ezequiel Smucler, Mariela Sued
2018 J jnl
Supervised dimension reduction for ordinal predictors.
Comput. Stat. Data Anal.
Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi
2017 J jnl
Likelihood ratio test for partial sphericity in high and ultra-high dimensions.
J. Multivar. Anal.
Liliana Forzani, Antonella Gieco, Carlos F. Tolmasky
2017 J jnl
On the classification problem for Poisson point processes.
J. Multivar. Anal.
Alejandro Cholaquidis, Liliana Forzani, Pamela Llop, Leonardo Moreno
2016 J jnl
A note on fast envelope estimation.
J. Multivar. Anal.
R. Dennis Cook, Liliana Forzani, Zhihua Su
2015 J jnl
On the Level-Slope-Curvature Effect in Yield Curves and Eventual Total Positivity.
SIAM J. Financial Math.
Liliana Forzani, Carlos F. Tolmasky
2014 J jnl
Corrigendum to "Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions".
IEEE Trans. Inf. Theory
Liliana Forzani, Ricardo Fraiman, Pamela Llop
2012 J jnl
Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions.
IEEE Trans. Inf. Theory
Liliana Forzani, Ricardo Fraiman, Pamela Llop
2011 J jnl
On local times, density estimation and supervised classification from functional data.
J. Multivar. Anal.
Pamela Llop, Liliana Forzani, Ricardo Fraiman
2010 J jnl
Minimum classification error learning for sequential data in the wavelet domain.
Pattern Recognit.
Diego Tomassi, Diego H. Milone, Liliana Forzani
2009 J jnl
Minimum Classification Error Training of Hidden Markov Models for Sequential Data in the Wavelet Domain.
Inteligencia Artif.
Diego Tomassi, Diego H. Milone, Liliana Forzani