Search results for "causa."

showing 10 items of 647 documents

Study Design in Causal Models

2014

The causal assumptions, the study design and the data are the elements required for scientific inference in empirical research. The research is adequately communicated only if all of these elements and their relations are described precisely. Causal models with design describe the study design and the missing-data mechanism together with the causal structure and allow the direct application of causal calculus in the estimation of the causal effects. The flow of the study is visualized by ordering the nodes of the causal diagram in two dimensions by their causal order and the time of the observation. Conclusions on whether a causal or observational relationship can be estimated from the coll…

Statistics and ProbabilityEmpirical researchTheoretical computer scienceGraph (abstract data type)Graphical modelStatistics Probability and UncertaintyCausal structureMissing dataCausalityStructural equation modelingCausal modelMathematicsScandinavian Journal of Statistics
researchProduct

Multiscale Granger causality

2017

In the study of complex physical and biological systems represented by multivariate stochastic processes, an issue of great relevance is the description of the system dynamics spanning multiple temporal scales. While methods to assess the dynamic complexity of individual processes at different time scales are well-established, multiscale analysis of directed interactions has never been formalized theoretically, and empirical evaluations are complicated by practical issues such as filtering and downsampling. Here we extend the very popular measure of Granger causality (GC), a prominent tool for assessing directed lagged interactions between joint processes, to quantify information transfer a…

Statistics and ProbabilityFOS: Computer and information sciencesMathematics - Statistics TheoryStatistics Theory (math.ST)01 natural sciencesStatistics - ApplicationsMethodology (stat.ME)03 medical and health sciences0302 clinical medicinegranger causalityGranger causalityMoving average0103 physical sciencesEconometricsFOS: MathematicsState spacecarbon dioxydeApplications (stat.AP)Time series010306 general physicsTemporal scalessignal processingclimateStatistics - MethodologyMathematicsStochastic processBiology and Life SciencestemperatureCondensed Matter PhysicsScience GeneralSystem dynamicsMathematics and StatisticsAutoregressive modelEarth and Environmental SciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaAlgorithm030217 neurology & neurosurgeryStatistical and Nonlinear Physic
researchProduct

Identifying Causal Effects with the R Package causaleffect

2017

Do-calculus is concerned with estimating the interventional distribution of an action from the observed joint probability distribution of the variables in a given causal structure. All identifiable causal effects can be derived using the rules of do-calculus, but the rules themselves do not give any direct indication whether the effect in question is identifiable or not. Shpitser and Pearl constructed an algorithm for identifying joint interventional distributions in causal models, which contain unobserved variables and induce directed acyclic graphs. This algorithm can be seen as a repeated application of the rules of do-calculus and known properties of probabilities, and it ultimately eit…

Statistics and ProbabilityFOS: Computer and information sciencesTheoretical computer sciencecausalityDistribution (number theory)C-componentComputer sciencecausal model02 engineering and technologyCausal structureMethodology (stat.ME)03 medical and health sciences0302 clinical medicinedo-calculusJoint probability distribution0202 electrical engineering electronic engineering information engineering030212 general & internal medicineDAG; do-calculus; causality; causal model; identifiability; graph; C-component; hedge; d-separationlcsh:Statisticslcsh:HA1-4737Statistics - Methodologycomputer.programming_languageCausal modelta112DAGd-separationgraphhedgeidentifiabilityExpression (mathematics)PEARL (programming language)Action (philosophy)kausaliteetti020201 artificial intelligence & image processingStatistics Probability and UncertaintycomputerSoftware
researchProduct

Systematic handling of missing data in complex study designs : experiences from the Health 2000 and 2011 Surveys

2016

We present a systematic approach to the practical and comprehensive handling of missing data motivated by our experiences of analyzing longitudinal survey data. We consider the Health 2000 and 2011 Surveys (BRIF8901) where increased non-response and non-participation from 2000 to 2011 was a major issue. The model assumptions involved in the complex sampling design, repeated measurements design, non-participation mechanisms and associations are presented graphically using methodology previously defined as a causal model with design, i.e. a functional causal model extended with the study design. This tool forces the statistician to make the study design and the missing-data mechanism explicit…

Statistics and Probabilitymultiple imputationComputer sciencecomputer.software_genre01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicinenon-responseSampling design030212 general & internal medicine0101 mathematicsCausal modelta112Clinical study designInverse probability weightingSampling (statistics)non-participationMissing dataData sciencedoubly robust methodsSurvey data collectionData miningStatistics Probability and Uncertaintycomputerinverse probability weightingStatisticiancausal model with designJournal of Applied Statistics
researchProduct

Self-Causation and Unity in Stoicism

2021

Abstract According to the Stoics, ordinary unified bodies—animals, plants, and inanimate natural bodies—each have a single cause of unity and being: pneuma. Pneuma itself has no distinct cause of unity; on the contrary, it acts as a cause of unity and being for itself. In this paper, I show how pneuma is supposed to be able to unify itself and other bodies in virtue of its characteristic tensile motion (τονικὴ κίνησις). Thus, we will see how the Stoics could have hoped to account for corporeal unity by positing another body (pneuma) apparently itself in need of unification.

StoicismPhilosophyHistoryHistory and Philosophy of SciencePhilosophyAncient philosophyCausationEpistemologyPhronesis
researchProduct

From Zeno to Chrysippus

2015

This chapter is about the origin and development of early Stoic epistemology. I discuss how Zeno of Citium, the founder of the Stoa, was influenced by his predecessors and interpreted by his successors. I argue that Stoicism rely on two basic assumptions for which Socrates is the main predecessor, namely that human beings are at home in the world and that it is only by using our rational abilities to detect salient truths and organize them into skills that we can successfully orient ourselves in this world. This Socratic-Stoic position relies on a naturalistic theory of concept acquisition, for which Aristotle is the main predecessor, or so I argue. I then look at how Zeno’s original episte…

StoicismSOCRATESPhilosophyMetaphysicsDivine providenceRepresentation (arts)CausationZeno's paradoxesNaturalismEpistemology
researchProduct

Conclusion: University Ambiguities and Analytic Eclecticism

2018

This volume has examined six cases of university engagement in peripheral regions. While these regions have often been overlooked in the mainstream literature on university-region dynamics because they do not readily offer up success stories, they do facilitate an exploration into the challenges and difficulties that arise at the intersection of the university and region. Beginning with a theory rooted in institutionalist literature that depicts the university as a set of five ambiguities rather than as a coherent whole, the chapters have sought to apply the ambiguities of intention, causality, history, structure, and meaning to their regional context. In this conclusion, we pull together a…

Structure (mathematical logic)05 social sciences050301 educationContext (language use)CausalityEpistemologyMeaning (philosophy of language)Intersection0502 economics and businessMainstreamSociology050207 economicsSet (psychology)0503 educationEclecticism
researchProduct

Intervals of quasi-decompositionality and mechanistic explanations

2019

Abstract: It is commonly assumed that the concept of mechanism is a keytool for the scientific understanding of observable phenomena. However, there is no single definition of mechanism in the current philosophy of science. In fact, philosophers have developed several characterizations of what seemed to be a clear intuitive concept for scientists. In this paper, I will analyze these philosophical conceptions of mechanism, highlighting their problematic aspects and proposing a new mechanistic approach based on the idea that the pertinent levels of organization for a mechanistic explanation can be identified with intervals of quasi-decompositionality. I argue that this approach allows us to c…

Structure (mathematical logic)Philosophy of scienceUNESCO::FILOSOFÍA:FILOSOFÍA [UNESCO]Mechanism (philosophy)Computer scienceCausationEpistemologyOrganizational levelQuaderns de Filosofia
researchProduct

FROM PRODUCER TO CONSUMER – RELATIONS BETWEEN PRICES OF SELECTED PRODUCTS ON THE AGRI-FOOD MARKET

2019

The food supply chain is characterized by a large diversity of entities comprising it, combining actions taken by individual links, starting with the producer on the consumer. The primary goal of the smooth functioning of the food supply chain is to ensure satisfaction of buyers, while profiting by companies participating in the flow of products. The primary aim of the efficient functioning of the food supply chain is to ensure satisfaction of buyers, while profiting by companies participating in the flow of products. Changes occurring in agricultural production, often cyclical, are transferred to individual links in the supply chain. This phenomenon is visible in changes in the level of pr…

Supply chainGranger testagri – food marketlcsh:HD9000-9495lcsh:S1-972Granger causalityMarket analysislcsh:Agricultural industriesPrice levelBusinessVolatility (finance)Agricultural productivitylcsh:Agriculture (General)agri-food marketTime rangeprice transmissionIndustrial organizationFood marketJournal of Agribusiness and Rural Development
researchProduct

Credibility as a Key to Sustainable Advertising Success

2014

This paper addresses the operational part of sustainable marketing, especially advertising with sustainability. This form of advertising has to consider particularly the aspect of credibility since the social-ecological value of a product is often not evident for the consumer. Therefore, credibility represents an essential competitive advantage for companies who offer sustainable products. The purpose of this paper is to identify the determinants which are decisive for the credibility attribution of sustainable advertisement in order to achieve an improved comprehension of the latent construct and a more credible design of this type of advertisement. In addition, the actual influence of cre…

Sustainable productsSource credibilityCredibilitySustainabilityAdvertisingBusinessProduct (category theory)MarketingCompetitive advantageConsumer behaviourCausal model
researchProduct