The following pages link to Dynamic modelling and causality (Q3033168):
Displaying 32 items.
- The stochastic system approach for estimating dynamic treatments effect (Q269758) (← links)
- Non-causality in bivariate binary time series (Q291706) (← links)
- Graphical modelling of multivariate time series (Q438963) (← links)
- Invariance of statistical causality under convergence (Q553106) (← links)
- On the inclusion of bivariate marked point processes in graphical models (Q745532) (← links)
- On Granger causality and the effect of interventions in time series (Q746001) (← links)
- A general definition of influence between stochastic processes (Q746002) (← links)
- The versatility of multi-state models for the analysis of longitudinal data with unobservable features (Q746527) (← links)
- Dynamic path analysis -- a new approach to analyzing time-dependent covariates (Q849902) (← links)
- A Bayesian approach to model interdependent event histories by graphical models (Q1001741) (← links)
- On predictive causality in longitudinal studies (Q1209668) (← links)
- Causal dynamic inference (Q1935591) (← links)
- Markov equivalence of marginalized local independence graphs (Q2176633) (← links)
- Dealing with death when studying disease or physiological marker: the stochastic system approach to causality (Q2274687) (← links)
- Special issue dedicated to Odd O. Aalen (Q2305778) (← links)
- Graphical modeling of stochastic processes driven by correlated noise (Q2676953) (← links)
- Appropriate causal models and the stability of causation (Q2804474) (← links)
- A general dynamical statistical model with causal interpretation (Q2920265) (← links)
- (Q3316438) (← links)
- (Q3344974) (← links)
- Graphical Models for Marked Point Processes Based on Local Independence (Q3631454) (← links)
- Feedback and Mediation in Causal Inference Illustrated by Stochastic Process Models (Q4637091) (← links)
- (Q4799254) (← links)
- Dynamic Versus Classical Consequence (Q5249691) (← links)
- What can Statistics Contribute to a Causal Understanding? (Q5430605) (← links)
- Graphical Models for Composable Finite Markov Processes (Q5430606) (← links)
- Causal Models for Dynamical Systems (Q5885643) (← links)
- Nonparametric conditional local independence testing (Q6183775) (← links)
- Bootstrapping complex time-to-event data without individual patient data, with a view toward time-dependent exposures (Q6625162) (← links)
- Joint modeling of progression-free and overall survival and computation of correlation measures (Q6628690) (← links)
- Causality: a statistical view (Q6657947) (← links)
- Mixed orthogonality graphs for continuous-time stationary processes (Q6658920) (← links)
