Minimum Classification Error Training of Hidden Markov Models for Sequential Data in the Wavelet Domain. - Diego Tomassi; Diego H. Milone; Liliana Forzani (Inteligencia Artif., 2009)

Minimum classification error learning for sequential data in the wavelet domain. - Diego Tomassi; Diego H. Milone; Liliana Forzani (Pattern Recognit., 2010)

On local times, density estimation and supervised classification from functional data. - Pamela Llop; Liliana Forzani; Ricardo Fraiman (J. Multivar. Anal., 2011)

Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions. - Liliana Forzani; Ricardo Fraiman; Pamela Llop (IEEE Trans. Inf. Theory, 2012)

Corrigendum to "Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions". - Liliana Forzani; Ricardo Fraiman; Pamela Llop (IEEE Trans. Inf. Theory, 2014)

On the Level-Slope-Curvature Effect in Yield Curves and Eventual Total Positivity. - Liliana Forzani; Carlos F. Tolmasky (SIAM J. Financial Math., 2015)

A note on fast envelope estimation. - R. Dennis Cook; Liliana Forzani; Zhihua Su (J. Multivar. Anal., 2016)

On the classification problem for Poisson point processes. - Alejandro Cholaquidis; Liliana Forzani; Pamela Llop; Leonardo Moreno (J. Multivar. Anal., 2017)

Likelihood ratio test for partial sphericity in high and ultra-high dimensions. - Liliana Forzani; Antonella Gieco; Carlos F. Tolmasky (J. Multivar. Anal., 2017)

Supervised dimension reduction for ordinal predictors. - Liliana Forzani; Rodrigo García Arancibia; Pamela Llop; Diego Tomassi (Comput. Stat. Data Anal., 2018)

Sufficient dimension reduction and prediction in regression: Asymptotic results. - Liliana Forzani; Daniela Rodriguez; Ezequiel Smucler; Mariela Sued (J. Multivar. Anal., 2019)

Sufficient reductions in regression with mixed predictors. - Efstathia Bura; Liliana Forzani; Rodrigo García Arancibia; Pamela Llop; Diego Tomassi (J. Mach. Learn. Res., 2022)

Generalized discriminant analysis via kernel exponential families. - Isaías Ibañez; Liliana Forzani; Diego Tomassi (Pattern Recognit., 2022)

Partial least squares for simultaneous reduction of response and predictor vectors in regression. - R. Dennis Cook; Liliana Forzani; Lan Liu (J. Multivar. Anal., 2023)

Sufficient dimension reduction for a novel class of zero-inflated graphical models. - Eric Koplin; Liliana Forzani; Diego Tomassi; Ruth M. Pfeiffer (Comput. Stat. Data Anal., 2024)