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Variable Targeting and Reduction in High-Dimensional Vector Autoregressions
Sparse Vector Autoregressive Models
Semi-parametric Dynamic Max-copula Model for Multivariate Time Series
Predictive effect of economic and market variations on structural breaks in credit market
Learning Connectivity Networks from High-Dimensional Point Processes
Impossible Objects: The Mathematics of 3D Illusions
Global multivariate point pattern models for rain type occurrence and its extension to spatio-temporal domain
Dynamic landmark prediction for genetic mixture models
A longitudinal Bayesian model for spectral analysis of neuroimaging time series data