Liliana Forzani

According to our database, Liliana Forzani authored at least 15 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

2023

Partial least squares for simultaneous reduction of response and predictor vectors in regression.

R. Dennis Cook, Liliana Forzani, Lan Liu

J. Multivar. Anal., 2023

2022

Generalized discriminant analysis via kernel exponential families.

Isaías Ibañez, Liliana Forzani, Diego Tomassi

Pattern Recognit., 2022

Sufficient reductions in regression with mixed predictors.

Efstathia Bura, Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi

J. Mach. Learn. Res., 2022

2019

Sufficient dimension reduction and prediction in regression: Asymptotic results.

Liliana Forzani, Daniela Rodriguez, Ezequiel Smucler, Mariela Sued

J. Multivar. Anal., 2019

2018

Supervised dimension reduction for ordinal predictors.

Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi

Comput. Stat. Data Anal., 2018

2017

Likelihood ratio test for partial sphericity in high and ultra-high dimensions.

Liliana Forzani, Antonella Gieco, Carlos F. Tolmasky

J. Multivar. Anal., 2017

On the classification problem for Poisson point processes.

Alejandro Cholaquidis, Liliana Forzani, Pamela Llop, Leonardo Moreno

J. Multivar. Anal., 2017

2016

A note on fast envelope estimation.

R. Dennis Cook, Liliana Forzani, Zhihua Su

J. Multivar. Anal., 2016

2015

On the Level-Slope-Curvature Effect in Yield Curves and Eventual Total Positivity.

Liliana Forzani, Carlos F. Tolmasky

SIAM J. Financial Math., 2015

2014

Corrigendum to "Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions".

Liliana Forzani, Ricardo Fraiman, Pamela Llop

IEEE Trans. Inf. Theory, 2014

2012

Consistent Nonparametric Regression for Functional Data Under the Stone-Besicovitch Conditions.

Liliana Forzani, Ricardo Fraiman, Pamela Llop

IEEE Trans. Inf. Theory, 2012

2011

On local times, density estimation and supervised classification from functional data.

Pamela Llop, Liliana Forzani, Ricardo Fraiman

J. Multivar. Anal., 2011

2010

Minimum classification error learning for sequential data in the wavelet domain.

Diego Tomassi, Diego H. Milone, Liliana Forzani

Pattern Recognit., 2010

2009

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