The following pages link to (Q4496846):
Displaying 50 items.
- A short history of algebraic statistics (Q745346) (← links)
- On Granger causality and the effect of interventions in time series (Q746001) (← links)
- On collapsibility and confounding bias in Cox and Aalen regression models (Q746469) (← links)
- Jeffrey's rule of conditioning in a possibilistic framework (Q766261) (← links)
- Indicative conditionals and graded information (Q777951) (← links)
- Exploiting causality in gene network reconstruction based on graph embedding (Q782474) (← links)
- Foundations and new horizons for causal inference. Abstracts from the workshop held May 26 -- June 1, 2019 (Q782996) (← links)
- Complexity results for explanations in the structural-model approach (Q814579) (← links)
- Conditional logic of actions and causation (Q814610) (← links)
- The limitation of Bayesianism (Q814616) (← links)
- Data aggregation and Simpson's paradox gauged by index numbers (Q818104) (← links)
- Graphoid properties of epistemic irrelevance and independence (Q819940) (← links)
- The science of \(\Theta \Delta^{\text{cs}} \) (Q828341) (← links)
- Constructing structural VAR models with conditional independence graphs (Q834323) (← links)
- Markov equivalence for ancestral graphs (Q834365) (← links)
- Interpreted and generated signals (Q840691) (← links)
- Construction of minimal \(d\)-separators in a dependency system (Q844349) (← links)
- The max-min hill-climbing Bayesian network structure learning algorithm (Q851867) (← links)
- Inference of structures of models of probabilistic dependences from statistical data (Q852242) (← links)
- Quantum physical symbol systems (Q853791) (← links)
- Combining argumentation and Bayesian nets for breast cancer prognosis (Q853792) (← links)
- A Bayesian approach to informal argument fallacies (Q857690) (← links)
- Validation and verification of social processes within agent-based computational organization models (Q862578) (← links)
- Constraint-based inference algorithms for structural models with latent confounders -- empirical application and simulation (Q880903) (← links)
- Relating Bell's local causality to the causal Markov condition (Q893790) (← links)
- Assumptions of IV methods for observational epidemiology (Q903300) (← links)
- Chain graph models to elicit the structure of a Bayesian network (Q904627) (← links)
- Graphical models for inference under outcome-dependent sampling (Q906534) (← links)
- The statistical analysis of fMRI data (Q907945) (← links)
- Marginal integration for nonparametric causal inference (Q908271) (← links)
- Statistical modeling of causal effects in continuous time (Q930665) (← links)
- A sufficient condition for pooling data (Q935026) (← links)
- Error probabilities for inference of causal directions (Q935028) (← links)
- Quantum mechanics from focusing and symmetry (Q954775) (← links)
- Variable predictive models-a new multivariate classification approach for pattern recognition applications (Q955809) (← links)
- Simple relations between principal stratification and direct and indirect effects (Q956372) (← links)
- Finding a causal ordering via independent component analysis (Q959409) (← links)
- Estimation of causal effects using linear non-Gaussian causal models with hidden variables (Q962640) (← links)
- A note on minimal d-separation trees for structural learning (Q969533) (← links)
- Estimating the principal stratum direct effect when the total effects are consistent between two standard populations (Q973175) (← links)
- Causal inference in statistics: an overview (Q975575) (← links)
- Causal inference for structural equations: with an application to wage-price spiral (Q976997) (← links)
- Causal graphical models in systems genetics: a unified framework for joint inference of causal network and genetic architecture for correlated phenotypes (Q977638) (← links)
- Updating our beliefs about inconsistency: The Monty-Hall case (Q1005764) (← links)
- Comments by J. Q. Smith on Goldstein and Rougier (Q1007514) (← links)
- Minimal separators in dependency structures: properties and identification (Q1008353) (← links)
- Learning the structure of dynamic Bayesian networks from time series and steady state measurements (Q1009260) (← links)
- Bayesian learning of graphical vector autoregressions with unequal lag-lengths (Q1009333) (← links)
- Minimal sufficient causation and directed acyclic graphs (Q1018646) (← links)
- Simpson's paradox in natural resource evaluation (Q1023969) (← links)
