Vivato Andriamiarana

Vivato Andriamiarana serves as a Researcher at the Methods Center within the Faculty of Economics and Social Sciences at Eberhard Karls University of Tübingen, specializing in advanced statistical methodologies for dynamic latent variable modeling since 2020. Her work focuses on methodological rigor in complex data structures.

Education:

• BS in Statistics and Econometrics Modeling (2011-2014), University of Antananarivo
• MS in Macroeconomics and Modeling (2014-2015), University of Antananarivo
• Studies in Applied Mathematics (2016-2017), University of Antananarivo
• MS in Economics and Finance (2017-2019), Université Lumière Lyon 2
• Studies in Econometrics and Statistics (2019-2020), Institut de Science Financière et d'Assurances - Lyon 1

Her research centers on Dynamic Latent Variable Models with emphasis on finite sample properties, sparse estimation techniques, and network modeling for intensive longitudinal data. She employs variational inference methods to address computational challenges in high-dimensional statistical frameworks, contributing to methodological advancements in structural equation modeling.

Recent publications demonstrate consistent focus on validation of dynamic modeling approaches, particularly examining Bayesian regularization requirements and sample size constraints in multilevel latent class structural equation models. Her work bridges theoretical statistics with practical applications in social science research.

Professional Context:

• DLV Project Member (since 2020)
• Collaborates with Methods Center faculty including Prof. Kelava and Dr. Kilian
• Works within interdisciplinary team developing quantitative research methodologies