Lynne Billard

According to our database, Lynne Billard authored at least 25 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MLE for the parameters of bivariate interval-valued model.

Seyed Yaser Samadi, Lynne Billard, Jiin-Huarng Guo, Wei Xu

Adv. Data Anal. Classif., December, 2024

2023

Exploring Dynamic Structures in Matrix-Valued Time Series via Principal Component Analysis.

Lynne Billard, Ahlame Douzal Chouakria, Seyed Yaser Samadi

Axioms, June, 2023

Copulas and Histogram-Valued Data.

Honghe Jin, Lynne Billard

J. Comput. Graph. Stat., April, 2023

2022

Partition of Interval-Valued Observations Using Regression.

Fei Liu, Lynne Billard

J. Classif., 2022

2021

Analysis of dependent data aggregated into intervals.

Seyed Yaser Samadi, Lynne Billard

J. Multivar. Anal., 2021

2019

A study of divisive clustering with Hausdorff distances for interval data.

Yi Chen, Lynne Billard

Pattern Recognit., 2019

2017

Canonical correlation for principal components of time series.

Seyed Yaser Samadi, Lynne Billard, Mohammad Reza Meshkani, Ahmad Khodadadi

Comput. Stat., 2017

Principal component analysis for histogram-valued data.

Jennifer Le-Rademacher, Lynne Billard

Adv. Data Anal. Classif., 2017

2015

Principal component analysis for compositional data vectors.

Huiwen Wang, Liying Shangguan, Rong Guan, Lynne Billard

Comput. Stat., 2015

An Exploratory Analysis of Multiple Multivariate Time Series.

Lynne Billard, Ahlame Douzal Chouakria, Seyed Yaser Samadi

Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, 2015

Generalization Method when Manipulating Relational Databases.

Véronique Cariou, Lynne Billard

Proceedings of the Symbolic Data Analysis and Visualization: Special Issue in honor of Monique Noirhomme-Fraiture, 2015

2013

Principal component histograms from interval-valued observations.

Jennifer Le-Rademacher, Lynne Billard

Comput. Stat., 2013

2012

Copula analysis of mixture models.

Mathieu Vrac, Lynne Billard, Edwin Diday, Alain Chédin

Comput. Stat., 2012

Dissimilarity measures and divisive clustering for symbolic multimodal-valued data.

Jaejik Kim, Lynne Billard

Comput. Stat. Data Anal., 2012

2011

Principal component analysis for interval-valued observations.

Ahlame Douzal Chouakria, Lynne Billard, Edwin Diday

Stat. Anal. Data Min., 2011

Brief overview of symbolic data and analytic issues.

Lynne Billard

Stat. Anal. Data Min., 2011

In this issue.

Lynne Billard

Stat. Anal. Data Min., 2011

A polythetic clustering process and cluster validity indexes for histogram-valued objects.

Jaejik Kim, Lynne Billard

Comput. Stat. Data Anal., 2011

Symbolic Principal Components for Interval-Valued Data.

Lynne Billard, Jennifer Le-Rademacher

Proceedings of the Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis, 2011

2008

Some Analyses of Interval Data.

Lynne Billard

J. Comput. Inf. Technol., 2008

2007

Modeling Spatial-Temporal Epidemics Using STBL Model.

Lynne Billard, Duck-Ki Kim, Chan-Hee Lee, Sung Duck Lee, Keon-Myung Lee, Sung-Soo Kim

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

2006

Descriptive statistics for interval-valued observations in the presence of rules.

Lynne Billard, Edwin Diday

Comput. Stat., 2006

2004

Régression linéaire symbolique avec variables taxonomiques.

Filipe Afonso, Lynne Billard, Edwin Diday

Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

2001

Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data, edited by H.-H. Bock and E. Diday.

Lynne Billard

J. Classif., 2001

2000

3 Modeling infectious diseases - AIDS.

Lynne Billard

Proceedings of the Bioenvironmental and public health statistics., 2000