| Prof Odd Aalen, Oslo |
Dynamic causal models |
| Prof Elja Arjas, Helsinki |
Why not simply apply stochastic process modeling and Bayesian predictive inference? |
| Dr Clive Bowsher, Bristol |
Stochastic Kinetic Processes: Biochemical Mechanisms,Information and Network Design |
| Prof Philip Dawid, Cambridge |
Applications of Dynamic Models in Monitoring and Fault Detection |
| Dr Roger Dixon, Loughborough |
A formal treatment of sequential ignorability |
| Dr Damien Ernst, Liège |
Learning for exploration-exploitation in reinforcement learning |
| Prof Erica Moodie, Montreal |
Q-learning for estimating optimal dynamic treatment rules from observational data |
| Prof Susan Murphy, Michigan |
Confidence Intervals, Q-Learning and Dynamic Treatment Regimes |
| Dr Susanne Rosthoj, Copenhagen |
Estimation of optimal dynamic treatments with irregular/missing visits using regret regressions |
| Prof Andrea Rotnitzky, Harvard |
Estimation and Extrapolation of Optimal Treatment Part 1 |
| Prof James Robins, Harvard |
Estimation and Extrapolation of Optimal Treatment Part 2 |
| Prof Jonathan Sterne, Bristol |
Causal inference for dynamic treatment regimens: how analyses of observational data changed international guidelines on when to start antiretroviral therapy |
| Dr James Taylor, Lancaster |
Control System Design: Feedback and Sequential Decision Making |
