Liliana Forzani

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 10

Top Topics

High Dimensions

Dimension Reduction

Generalized Discriminant Analysis

Likelihood Ratio

Top Venues

J. Multivar. Anal.

Comput. Stat. Data Anal.

IEEE Trans. Inf. Theory

Pattern Recognit.

Publications

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 (2024)
R. Dennis Cook, Liliana Forzani, Lan Liu
Partial least squares for simultaneous reduction of response and predictor vectors in regression. J. Multivar. Anal. 196 (2023)
Isaías Ibañez, Liliana Forzani, Diego Tomassi
Generalized discriminant analysis via kernel exponential families. Pattern Recognit. 132 (2022)
Efstathia Bura, Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi
Sufficient reductions in regression with mixed predictors. J. Mach. Learn. Res. 23 (2022)
Liliana Forzani, Daniela Rodriguez, Ezequiel Smucler, Mariela Sued
Sufficient dimension reduction and prediction in regression: Asymptotic results. J. Multivar. Anal. 171 (2019)
Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi
Supervised dimension reduction for ordinal predictors. Comput. Stat. Data Anal. 125 (2018)
Alejandro Cholaquidis, Liliana Forzani, Pamela Llop, Leonardo Moreno
On the classification problem for Poisson point processes. J. Multivar. Anal. 153 (2017)
Liliana Forzani, Antonella Gieco, Carlos F. Tolmasky
Likelihood ratio test for partial sphericity in high and ultra-high dimensions. J. Multivar. Anal. 159 (2017)
R. Dennis Cook, Liliana Forzani, Zhihua Su
A note on fast envelope estimation. J. Multivar. Anal. 150 (2016)
Liliana Forzani, Carlos F. Tolmasky
On the Level-Slope-Curvature Effect in Yield Curves and Eventual Total Positivity. SIAM J. Financial Math. 6 (1) (2015)
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) (2014)
Liliana Forzani, Ricardo Fraiman, Pamela Llop
Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions. IEEE Trans. Inf. Theory 58 (11) (2012)
Pamela Llop, Liliana Forzani, Ricardo Fraiman
On local times, density estimation and supervised classification from functional data. J. Multivar. Anal. 102 (1) (2011)
Diego Tomassi, Diego H. Milone, Liliana Forzani
Minimum classification error learning for sequential data in the wavelet domain. Pattern Recognit. 43 (12) (2010)
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) (2009)