The following pages link to TETRAD (Q24108):
Displaying 50 items.
- Induction and the discovery of the causes of scurvy: a computational reconstruction (Q1392252) (← links)
- Ant colony optimization for learning Bayesian networks. (Q1399508) (← links)
- Choice as an alternative to control in observational studies. (With comments and a rejoinder). (Q1431170) (← links)
- Learning Bayesian networks from data: An information-theory based approach (Q1605279) (← links)
- A new approach for learning belief networks using independence criteria (Q1605675) (← links)
- Principles of human-computer collaboration for knowledge discovery in science (Q1606346) (← links)
- Epistemology of causal inference in pharmacology, Towards a framework for the assessment of harms (Q1616144) (← links)
- Discovering and orienting the edges connected to a target variable in a DAG via a sequential local learning approach (Q1623596) (← links)
- Learning Markov equivalence classes of directed acyclic graphs: an objective Bayes approach (Q1631609) (← links)
- A group analysis using the multiregression dynamic models for fMRI networked time series (Q1644426) (← links)
- Structure learning in Bayesian networks using regular vines (Q1659079) (← links)
- Faithfulness and learning hypergraphs from discrete distributions (Q1663308) (← links)
- Learning causal graphs with latent confounders in weak faithfulness violations (Q1670497) (← links)
- An efficient Bayesian network structure learning strategy (Q1670500) (← links)
- A constraint optimization approach to causal discovery from subsampled time series data (Q1678425) (← links)
- Blankets joint posterior score for learning Markov network structures (Q1687296) (← links)
- Distributional equivalence and structure learning for bow-free acyclic path diagrams (Q1689000) (← links)
- Inferring large graphs using \(\ell_1\)-penalized likelihood (Q1704026) (← links)
- Studying the effective brain connectivity using multiregression dynamic models (Q1705546) (← links)
- Simple strategies for semi-supervised feature selection (Q1707485) (← links)
- Interventionist decision theory (Q1708901) (← links)
- Counterlegal dependence and causation's arrows: causal models for backtrackers and counterlegals (Q1708960) (← links)
- A logic for the discovery of deterministic causal regularities (Q1708969) (← links)
- Max-linear models on directed acyclic graphs (Q1708981) (← links)
- Upper-lower bounds candidate sets searching algorithm for Bayesian network structure learning (Q1718795) (← links)
- Local structure recovery of chain graphs after marginalization (Q1723600) (← links)
- On scoring maximal ancestral graphs with the max-min hill climbing algorithm (Q1726268) (← links)
- Split-door criterion: identification of causal effects through auxiliary outcomes (Q1728679) (← links)
- Computation of maximum likelihood estimates in cyclic structural equation models (Q1731051) (← links)
- Linear regression for uplift modeling (Q1741425) (← links)
- Counting Markov equivalence classes for DAG models on trees (Q1752602) (← links)
- Characterization of inclusion neighbourhood in terms of the essential graph (Q1763167) (← links)
- Learning Bayesian network classifiers: Searching in a space of partially directed acyclic graphs (Q1778146) (← links)
- Faithfulness, coordination and causal coincidences (Q1800425) (← links)
- Unifying Markov properties for graphical models (Q1800801) (← links)
- A characterization of Markov equivalence for directed cyclic graphs (Q1809370) (← links)
- Stratified exponential families: Graphical models and model selection (Q1848869) (← links)
- Separation and completeness properties for AMP chain graph Markov models. (Q1848925) (← links)
- Causal inference for complex longitudinal data: the continuous case. (Q1848926) (← links)
- Expert statistical testimony and epidemiological evidence: The toxic effects of lead exposure on children (Q1868980) (← links)
- Bayesian networks for discrete multivariate data: An algebraic approach to inference (Q1873119) (← links)
- A computationally efficient, exploratory approach to brain connectivity incorporating false discovery rate control, a priori knowledge, and group inference (Q1929654) (← links)
- Sequences of regressions and their independences (Q1936537) (← links)
- Comments on: Sequences of regressions and their independencies (Q1936541) (← links)
- A not-so-fundamental limitation on studying complex systems with statistics: comment on Rabin (2011) (Q1938024) (← links)
- Structural learning about directed acyclic graphs from multiple databases (Q1938242) (← links)
- Structural learning for Bayesian networks by testing complete separators in prime blocks (Q1942894) (← links)
- Score-based methods for learning Markov boundaries by searching in constrained spaces (Q1944976) (← links)
- Identifying the consequences of dynamic treatment strategies: a decision-theoretic overview (Q1950325) (← links)
- Scaling up the greedy equivalence search algorithm by constraining the search space of equivalence classes (Q1951294) (← links)
