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Simultaneous Graphical Dynamic Linear Models: Theory, structure, and Counterfactual Forecasting

Recommended citation: Vrotsos, L. and West, M. (2025). Dynamic graphical models: Theory, structure and counterfactual forecasting.
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A Bayesian approach to estimating the effect of the ACA Medicaid expansion on employment levels

Bayesian Causal Prediction: Multivariate Graphical Dynamic Models

Bayesian Causal Prediction: Multivariate Graphical Dynamic Models

Simultaneous Graphical Dynamic Linear Models: Theory, Structure, and Counterfactual Forecasting

Simultaneous Graphical Dynamic Linear Models: Theory, Structure, and Counterfactual Forecasting

Upcoming invited talk at the 2025 Joint Statistical Meetings, as part of the session “Bayesian models and methods for counterfactual prediction and causal inference”, beginning at 8:30 AM on Monday, August 4th.

TA for STA 210: Regression Analysis

TA for STA 831: Probability and Statistical Models