Results 261 to 270 of about 411,823 (288)

Local Causal Discovery Without Causal Sufficiency

Proceedings of the AAAI Conference on Artificial Intelligence
Local causal discovery is crucial for revealing the causal relationships between specific variables from data. Existing local causal discovery algorithms are designed under the assumption of causal sufficiency, which states that there are no latent common causes for two or more of the observed variables in data.
Zhaolong Ling, Jiale Yu, Yiwen Zhang 0001, Debo Cheng, Peng Zhou 0006, Xingyu Wu, Bingbing Jiang 0001, Kui Yu   +7 more
openaire   +3 more sources

Quantum Theory and Local Causality

SpringerBriefs in Philosophy, 2018
Gábor Hofer-Szabó
exaly   +3 more sources

Heritability, causal influence and locality

Synthese, 2019
Heritability is routinely interpreted causally. Yet, what such an interpretation amounts to is often unclear. Here, I provide a causal interpretation of this concept in terms of range of causal influence, one of several causal dimensions proposed within the interventionist account of causation.
openaire   +1 more source

Causal inference for statistical fault localization

Proceedings of the 19th international symposium on Software testing and analysis, 2010
This paper investigates the application of causal inference methodology for observational studies to software fault localization based on test outcomes and profiles. This methodology combines statistical techniques for counterfactual inference with causal graphical models to obtain causal-effect estimates that are not subject to severe confounding bias.
George K. Baah, Andy Podgurski, Mary Jean Harrold   +2 more
openaire   +1 more source

Locality and Causality Principles

2018
This Chapter provides a brief overview of the interconnections between the various causality and locality concepts in algebraic quantum field theory such as causal dynamics, primitive causality, local primitive causality, no-signaling, selective and nonselective measurements, local determinism, stochastic Einstein locality.
Gábor Hofer-Szabó, Péter Vecsernyés
openaire   +1 more source

Causal Discovery Using A Bayesian Local Causal Discovery Algorithm

2004
This study focused on the development and application of an efficient algorithm to induce causal relationships from observational data. The algorithm, called BLCD, is based on a causal Bayesian network framework. BLCD initially uses heuristic greedy search to derive the Markov Blanket (MB) of a node that serves as the “locality” for
Subramani Mani, Gregory F. Cooper
openaire   +2 more sources

Comparing locality and causality based equivalences

Acta Informatica, 1994
For Milner's CCS several noninterleaving semantics have been proposed among which causal bisimulations [\textit{P. Darondeau} and \textit{P. Degano}, Lect. Notes Comput. Sci. 452, 239-245 (1990; Zbl 0733.68027)] and location equivalence [\textit{G. Boudol}, \textit{I. Castellani}, \textit{M. Hennessy} and \textit{A. Kiehn}, Theor. Comput. Sci. 114, No.
openaire   +2 more sources

Local Realizations of Nonlinear Causal Operators

SIAM Journal on Control and Optimization, 1986
The realization problem for continuous-time smooth nonlinear systems is studied in this paper. The author emphasizes the treatment of the cases when the input/output behaviour is not necessarily defined for each control on an infinite time interval. This corresponds to the possibility of finite escape times in internal realizations.
openaire   +1 more source

Local Causality: A Historical Introduction

2018
In this chapter we briefly overview the history of local causality starting from the early ideas on the prohibition of the action at a distance and ending with Bell’s formulation of local causality. We state the central message of the book and outline the content of the subsequent chapters.
Gábor Hofer-Szabó, Péter Vecsernyés
openaire   +1 more source

Statistical causality and purely discontinuous local martingales

Stochastics, 2021
Dragana Valjarevic
exaly