When did Bayesian inference become "Bayesian"?

Fienberg, Stephen E.

doi:10.1214/06-ba101

Cited by 218 publications

(152 citation statements)

References 68 publications

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“…Semantic web ontology and its application cannot be explained without mentioning the Bayesian theory of probability [20] [21]. The Bayesian probabilistic theory have been proven to be one of the few mathematical interpretation of predictive concepts for representing a state of knowledge, thus, an extension of logic proposals that enables reasoning with hypothesis whose true or false values is uncertain.…”

Section: Related Workmentioning

confidence: 99%

A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis

Okoye¹,

Tawil²,

Naeem³

et al. 2015

Advances in Intelligent Systems and Computing

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Abstract. Semantic reasoning can help solve the problem of regulating the evolving and static measures of knowledge at theoretical and technological levels. The technique has been proven to enhance the capability of process models by making inferences, retaining and applying what they have learned as well as discovery of new processes. The work in this paper propose a semantic rule-based approach directed towards discovering learners interaction patterns within a learning knowledge base, and then respond by making decision based on adaptive rules centred on captured user profiles. The method applies semantic rules and description logic queries to build ontology model capable of automatically computing the various learning activities within a Learning Knowledge-Base, and to check the consistency of learning object/data types. The approach is grounded on inductive and deductive logic descriptions that allows the use of a Reasoner to check that all definitions within the learning model are consistent and can also recognise which concepts that fit within each defined class. Inductive reasoning is practically applied in order to discover sets of inferred learner categories, while deductive approach is used to prove and enhance the discovered rules and logic expressions. Thus, this work applies effective reasoning methods to make inferences over a Learning Process Knowledge-Base that leads to automated discovery of learning patterns/behaviour.

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Section: Related Workmentioning

confidence: 99%

A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis

Okoye¹,

Tawil²,

Naeem³

et al. 2015

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

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“…An example of its application to IB research can be consulted in Bausch and Kirstch (2007). Structural equation modeling from a Bayesian approach can also be suggested (Fienberg, 2006). The Markov Chain Monte Carlo models may provide some of the most interesting results when it comes to hierarchical decision models, with uncertainty propagation across organizational units and changing impacts on performance over time.…”

Section: Eastern European Countries)mentioning

confidence: 99%

Global organizations and supply chain

González‐Loureiro

Dabić

Puig

2014

International Journal of Physical Distribution &Amp; Logistics Management

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Purpose – The purpose of this paper is to aim at proposing a research agenda in the intersection of strategic supply chain management and logistics (SCML) of global organizations from the perspective of international human resource management (IHRM). Design/methodology/approach – To disclose the intellectual structure of research to date across both fields, the content of up to 280 articles dealing with IHRM and 174 papers addressing challenges in SCML in global organizations from a human resource management (HRM) viewpoint were analyzed. A stepwise hierarchical cluster and discriminant analysis were conducted to map a joint research agenda. Approaches from Upper Echelons theory and Co-Evolutionary theory of global organizations were adopted. Findings – Top management teams (TMT) are crucial to manage SCML successfully in today’s global organizations. Research on this intersection should draw attention to find antecedents, consequences and the process showing how those talented people grouped in dispersed teams can be a source of competitive advantage. Six different areas of research are proposed. It is proposed that future research should focus on the human capital (HC); meaning those key individuals of an organization that make things happen. In the near future, the global organization’s competitiveness will be shaped by how the organization manages its HC in SCML. Methodologies such as meta-analysis are suggested to summarize the extant literature on IHRM when applied to SCML in global organizations. Research limitations/implications – The search was conducted in SSCI-ISIWoK and Scopus databases. As a limitation, some articles and other scientific contributions not abstracted there were not included. Nevertheless, both searches enabled obtaining balanced results between scope and richness of content. Originality/value – Only a marginal portion of literature reviews have been conducted by using mixed methods in the fields of IHRM and SCML. The results will be useful for scholars of both fields in their attempts to enlarge the knowledge boundaries in these areas. From a practitioner’s viewpoint, this research may provide an integrative framework for global organizations to build a competitive advantage based on managing HC and its SCML strategically.

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“…In the Italian literature the most relevant for the period are the books by Daboni and Wedlin (1982) and by Cifarelli and Muliere (1989). For more bibliographical details see Fienberg (2005); extensive historical information is given in Fienberg (1992Fienberg ( , 2006.…”

Section: An Historical Outlinementioning

confidence: 99%

New Technologies and Statistics: Partners for Environmental Monitoring and City Sensing

Borga

Camporese

Iandelli

et al. 2014

Studies in Theoretical and Applied Statistics

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The agricultural investigation of the italian Parliament, published in 1884, also highlighted, especially in reports on individual territorial districts, the importance of chestnut in the italian mountains. Since the early twentieth century are available long time series collected by ISTAT (National Statistics Institute) data on surface and production of the chestnut and foreign trade of the chestnuts. Key words:Role of the chestnut, statistics, multifunctionality, agricultural policy Official statistics and role of the chestnutThe chestnut (Castanea sativa Miller) is the breadfruit and the tree of life that precedes and then accompanies the first man in history. Since Roman times, and even more in the Middle Ages and in Modern times, Italy is the european territory in which the chestnut spreads further contributing increasingly to the survival of the mountaineer.In the second half of the nineteenth century, the widespread presence of chestnut still identifies two particular social and economic situations: "The international poverty and the chestnut" portrays the role of the chestnuts in human nutrition in large parts of the Alps and the Apennines and "The civilization of the chestnut" photographs with a still of the customs, traditions, use of timber, fruit and use rules that govern the lives of many mountaineers from Piemonte to Veneto, from Lombardia to Calabria [1].The agricultural investigation of the italian Parliament, published in 1884-1886, also highlighted, especially in reports on individual territorial districts, the importance of chestnut in the italian mountains [2].Since the early twentieth century are available long time series collected by Ministry of Finance [3] and ISTAT (National Statistics Institute) [4, 5, 6] data on surface and production of the chestnut and foreign trade of the chestnuts.The examination of the many available statistical data to divide the evolution of italian chestnut by the unit to date in four historical periods.Adua Mario, Istituto Nazionale di Statistica (ISTAT), email: adua@istat.it 1951 1956 1961 1966 1971 1976 1981 1986 1991 1996 2001 Years The first period: "the autumn of the patriarch"The first period, from 1901 to 1950, "the autumn of the patriarch", is characterized by a general decrease in cultivation, however, maintains basically stable overall role of the italian mountain agro-forestry. In the early twentieth century, based on the conclusion of the Agricultural cadastre, it began the publishing of annual data of forestry; for 1910 it was estimated a total area in high forest of chestnut of 652 thousand hectares and a production of 607 thousand tons (Fig. 1). In 1911 it was observed the historical maximun of production: 830 thousand tons. In the thirties ISTAT (then Central Statistics Institute) [7] realizes the survey on the cultivation of chestnut in Italy -Years 1934. This survey is the picture sharper and more detailed on the role of the chestnut tree in the agricultural landscape and chestnuts in the diet. The survey shows a total area o...

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When did Bayesian inference become "Bayesian"?

Cited by 218 publications

References 68 publications

A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis

A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis

Global organizations and supply chain

New Technologies and Statistics: Partners for Environmental Monitoring and City Sensing

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