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