11 citations
5 papers
Predicting Trust Using Automated Assessment of Multivariate Interactional Synchrony
Adrien Meynard, Gayan Seneviratna, Elliot Doyle +3
Diverse disciplines are interested in how the coordination of interacting agents' movements, emotions, and physiology over time impacts social behavior. Here, we describe a new mul…
A Comparative Study of Imputation Methods for Multivariate Ordinal Data
Chayut Wongkamthong, Olanrewaju Akande
Missing data remains a very common problem in large datasets, including survey and census data containing many ordinal responses, such as political polls and opinion surveys. Multi…
Bayesian time-aligned factor analysis of paired multivariate time series
Arkaprava Roy, Jana Schaich-Borg, David B Dunson
Many modern data sets require inference methods that can estimate the shared and individual-specific components of variability in collections of matrices that change over time. Pro…
Stacked Generalization Approach to Improve Prediction of Molecular Atomization Energies
Ruobing Wang
Machine learning holds the promise of learning the energy functional via examples, bypassing the need to solve complicated quantum-chemical equations and realizing efficient comput…
Multidimensional Stochastic Process Model and its Applications to Analysis of Longitudinal Data with Genetic Information
Ilya Zhbannikov, Konstantin Arbeev, Anatoliy Yashin
Stochastic Process Model has many applications in analysis of longitudinal biodemographic data. Such data contain various physiological variables (sometimes known as covariates). I…