Pages that link to "Item:Q4832020"

The following pages link to Influence Diagrams for Causal Modelling and Inference (Q4832020):

Displaying 43 items.

• Stabilizing Variable Selection and Regression (Q104197) (← links)
• External validity: from do-calculus to transportability across populations (Q252808) (← links)
• Time-series estimation of the effects of natural experiments (Q291869) (← links)
• On Granger causality and the effect of interventions in time series (Q746001) (← links)
• Assumptions of IV methods for observational epidemiology (Q903300) (← links)
• Graphical models for inference under outcome-dependent sampling (Q906534) (← links)
• Error probabilities for inference of causal directions (Q935028) (← links)
• Causal inference in statistics: an overview (Q975575) (← links)
• Causal analysis with chain event graphs (Q991026) (← links)
• Comments by J. Q. Smith on Goldstein and Rougier (Q1007514) (← links)
• Potential influence diagrams (Q1330144) (← links)
• Smooth, identifiable supermodels of discrete DAG models with latent variables (Q1740511) (← links)
• Probability, causality and the empirical world: a Bayes-de Finetti-Popper-Borel synthesis (Q1766314) (← links)
• Identifying the consequences of dynamic treatment strategies: a decision-theoretic overview (Q1950325) (← links)
• On the definition of a confounder (Q1952448) (← links)
• Margins of discrete Bayesian networks (Q1991671) (← links)
• Compartmental model diagrams as causal representations in relation to DAGs (Q2001850) (← links)
• Foundations of structural causal models with cycles and latent variables (Q2054537) (← links)
• Causal interpretation of graphical models (Q2069043) (← links)
• Computer science and decision theory (Q2271874) (← links)
• Defining causal mediation with a longitudinal mediator and a survival outcome (Q2305779) (← links)
• On SPI for evaluating influence diagrams (Q2320344) (← links)
• A Bayesian Nonparametric Causal Model for Regression Discontinuity Designs (Q2800208) (← links)
• A new criterion for confounder selection (Q2893399) (← links)
• Causality, conditional independence, and graphical separation in settable systems (Q2919416) (← links)
• Causal inference with multiple time series: principles and problems (Q2955526) (← links)
• Distributional Kalman filters for Bayesian forecasting and closed form recurrences (Q3018543) (← links)
• Adjusting for selection bias in retrospective, case-control studies (Q3304906) (← links)
• Chain Graph Models and their Causal Interpretations (Q4665889) (← links)
• (Q4969163) (← links)
• Mendelian randomization as an instrumental variable approach to causal inference (Q5425044) (← links)
• (Q5753604) (← links)
• Quantum causal modelling (Q5855049) (← links)
• Strategy Graphs for Influence Diagrams (Q5870512) (← links)
• Causal Diagrams for Empirical Research (With Discussions) (Q5885618) (← links)
• Nested Markov properties for acyclic directed mixed graphs (Q6042349) (← links)
• Treatment and Control Groups in a Dynamic Setting (Q6064624) (← links)
• Reasoning about causality in games (Q6103660) (← links)
• Discovering agents (Q6136104) (← links)
• On Imperfect Recall in Multi-Agent Influence Diagrams (Q6199609) (← links)
• Causality and causal models: a conceptual perspective (Q6574131) (← links)
• Forecasting, interventions and selection: the benefits of a causal mortality model (Q6593140) (← links)
• Causality: a statistical view (Q6657947) (← links)