causal structure
Estimating Causal Structure Using Conditional DAG Models
... of causal structure in a class of graphical models called conditional ...the structure of causal relationships between the primary ...such causal structure is identifiable from ...
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Order-Independent Constraint-Based Causal Structure Learning
... We consider constraint-based methods for causal structure learning, such as the PC-, FCI-, RFCI- and CCD- algorithms (Spirtes et al., 1993, 2000; Richardson, 1996; Colombo et al., 2012; Claassen et al., ...
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Using Markov Blankets for Causal Structure Learning
... and causal structure learning are related by a common concept: the Markov blanket of a variable X is the smallest set Mb(X ) containing all variables carrying informa- tion about X that cannot be obtained ...
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Whose statistical reasoning is facilitated by a causal structure intervention?
... the causal structure intervention, which helps participants construct an integrated representation of the data, is dependent on more basic understanding of numerical and statistical concepts (for additional ...
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Time-delocalized quantum subsystems and operations: on the existence of processes with indefinite causal structure in quantum mechanics
... the causal structure of spacetime ...the causal past of the output ...the structure of a circuit with a cycle that does not admit a decomposition into a probabilistic mixture of acyclic ...
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The Causal Structure of Evolutionary Theory
... framework. The block fitness idea is this: An organism with a particular genetic constitution and environmental arena can live various possible lives. Its encounter with the environmental heterogeneity can be unlucky, ...
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Do Students See the “Selection” in Organic Evolution? A Critical Review of the Causal Structure of Student Explanations
... distinct causal factors from the use/disuse of certain body parts; and hence I do not put “use/disuse” as a separate casual category in the student's ...dominant causal explanatory factor in the student's ...
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When does information about causal structure improve statistical reasoning?
... Materials: Although each participant saw only eight reasoning problems, a total of 16 reasoning problems were used in this experiment (see Appendix 1). Two of these were taken from the literature, Gigerenzer and ...
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The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks
... Our algorithm requires two tuning parameters: the maximum separating set size η, and the threshold level for partial correlations α. The parameter η varies based on the underlying graph family. Thus, given knowledge of a ...
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Building a Corpus of Temporal-Causal Structure
... in causal rela- tions aimed to identify the relations in arbitrary ...all causal relations in a section of the Wall Street Journal using hand-crafted patterns, but had inter-annotator agreement problems, ...
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Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test
... simulated causal network structures, under the linear non- Gaussian ...large-scale causal inference problems with ground truth, simulated data on synthetic and real-world structures are used in most ...
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Human and Machine Co-Investigate Intelligence System (HM-CII) for Fault Diagnosis and Detection in Complex Systems.
... We next explain HM-CII as the negotiation process between human and machine. To the progress of negotiation, we compute the gap between human and machine in each of the iterations. We hypothesize that, if they negotiate ...
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Experimental Indistinguishability of Causal Structures
... a causal Bayes net a surgical intervention breaks the arrows into the intervened variable, while leaving the remaining causal structure ...the causal relation among intervened variables is ...
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Explanation, unification, and what chemistry gets from causation
... the causal structure of the system ...the structure wrong? This judgment will be based on some sort of experimental or observational result or on some kind of theoretical ...
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Covariation, Structure and Generalization: Building Blocks of Causal Cognition
... of causal knowledge. A causal map is a developed representation of the causal links between ...both causal power or strength and temporal ...of causal links the maps can be used to ...
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The Realism of Taxonomic Pluralism
... First, it is difficult to separate the epistemic from the non-epistemic (Longino 1996; Kitcher 2001). Consider an investigation that aspires to discover the causal structure of the chemical world. While ...
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Estimating causal effects of time-dependent exposures on a binary endpoint in a high-dimensional setting
... total causal effects from observational data in high-dimensional settings ...for causal structure learning, meaning that it learns the causal structure based on the conditional ...
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Neuropsychological features personalities with deviant behavior
... a causal structure of deviant behavior has been identified, it makes it possible to form components of the hierarchy of universality (properties of the central nervous system) in neuropsychological concepts ...
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Investigating the Influence of Grammatical Aspect on Eye-Movements
... Grammatical aspect, event components, and their relationship with the temporal and causal structure of events.. An example of trial images for the sentence “The man was slicing/had slic[r] ...
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Indexically Structured Ecological Communities (Phil sci Published)
... directed causal maps from the different populations in the starting set we can compare their causal ...of causal maps is done in two ...of causal relations in strength and ...stable ...
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