The following pages link to (Q4496846):
Displaying 50 items.
- Equivalence class selection of categorical graphical models (Q2242176) (← links)
- Extracting informative variables in the validation of two-group causal relationship (Q2255923) (← links)
- Coherence, striking agreement, and reliability. On a putative vindication of the Shogenji measure (Q2263053) (← links)
- Predicting causality ascriptions from background knowledge: model and experimental validation (Q2270428) (← links)
- Recent developments in parameter estimation and structure identification of biochemical and genomic systems (Q2270528) (← links)
- Analytic bounds on causal risk differences in directed acyclic graphs involving three observed binary variables (Q2272102) (← links)
- New exploratory tools for extremal dependence: \(\chi \) networks and annual extremal networks (Q2273002) (← links)
- Dealing with death when studying disease or physiological marker: the stochastic system approach to causality (Q2274687) (← links)
- Mathematics as information compression via the matching and unification of patterns (Q2281995) (← links)
- Autonomously evolving classifier TEDAClass (Q2282880) (← links)
- Modeling creative abduction Bayesian style (Q2289716) (← links)
- Two challenges for a Boolean approach to constitutive inference (Q2289718) (← links)
- Dependence relations in general relativity (Q2289727) (← links)
- Objective Bayes model selection of Gaussian interventional essential graphs for the identification of signaling pathways (Q2291516) (← links)
- Test for conditional independence with application to conditional screening (Q2293386) (← links)
- A review of Gaussian Markov models for conditional independence (Q2301082) (← links)
- Learning Bayesian network structures using weakest mutual-information-first strategy (Q2302789) (← links)
- Discovering causal graphs with cycles and latent confounders: an exact branch-and-bound approach (Q2302940) (← links)
- Epistemic graphs for representing and reasoning with positive and negative influences of arguments (Q2303513) (← links)
- P-log: refinement and a new coherency condition (Q2317975) (← links)
- Optimizing group learning: an evolutionary computing approach (Q2321327) (← links)
- Learning causal graphs of nonlinear structural vector autoregressive model using information theory criteria (Q2341588) (← links)
- Effective connectivity at synaptic level in humans: a review and future prospects (Q2342567) (← links)
- Identifying intervention variables (Q2348945) (← links)
- Inferring network structure from interventional time-course experiments (Q2349590) (← links)
- Inference using compiled min-based possibilistic causal networks in the presence of interventions (Q2351610) (← links)
- A generalized back-door criterion (Q2352735) (← links)
- Probabilistic compositional models: solution of an equivalence problem (Q2353902) (← links)
- Dealing with external actions in belief causal networks (Q2353934) (← links)
- An overview of recent advancements in causal studies (Q2359616) (← links)
- Estimation of average causal effect using the restricted mean residual lifetime as effect measure (Q2364042) (← links)
- Data-adaptive estimation of the treatment-specific mean (Q2370469) (← links)
- Conservative independence-based causal structure learning in absence of adjacency faithfulness (Q2375328) (← links)
- Development of a model-based netsourcing decision support system using a five-stage methodology (Q2378406) (← links)
- Three centuries of categorical data analysis: Log-linear models and maximum likelihood estima\-tion (Q2382860) (← links)
- Contagion around the October 1987 stock market crash (Q2383128) (← links)
- A model of jury decisions where all jurors have the same evidence (Q2386103) (← links)
- Graphical models for imprecise probabilities (Q2386115) (← links)
- A note on the correctness of the causal ordering algorithm (Q2389685) (← links)
- On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias (Q2389689) (← links)
- Causal discovery and the problem of ignorance. An adaptive logic approach (Q2390654) (← links)
- Causal statistical inference in high dimensions (Q2392815) (← links)
- Learning structures of Bayesian networks for variable groups (Q2411260) (← links)
- Structure learning of sparse directed acyclic graphs incorporating the scale-free property (Q2418068) (← links)
- Recursive path models when both predictor and response variables are categorical (Q2431713) (← links)
- Autoregressive models for gene regulatory network inference: sparsity, stability and causality issues (Q2437738) (← links)
- Quantifying causal influences (Q2438755) (← links)
- Correlations, deviations and expectations: the extended principle of the common cause (Q2443331) (← links)
- Causal discourse in a game of incomplete information (Q2451800) (← links)
- On the network topology of variance decompositions: measuring the connectedness of financial firms (Q2451806) (← links)
