Search results for "bayesian"

showing 10 items of 604 documents

Practical Issues on Energy-Growth Nexus Data and Variable Selection With Bayesian Analysis

2018

Abstract Given that the energy-growth nexus (EGN) is short of a complete theoretical base, the production function used therein is typically complemented with numerous variables that characterize an economy. Researchers are often puzzled not only with the selection of variables per se, but also with the variable sources and the various data handlings which become apparent and available only after years of experience in this research field. Thus, this chapter is divided into two distinctive parts: The first part contains an overview of the available data sources for the EGN as well as a succinct selection of advice on data handlings, transformations, and interpretations that could come handy…

Bayes estimatorComputer science020209 energyBayesian probabilityFeature selection02 engineering and technologyProduction function01 natural sciencesData scienceField (computer science)010104 statistics & probabilityVariable (computer science)0202 electrical engineering electronic engineering information engineering0101 mathematicsNexus (standard)Selection (genetic algorithm)
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On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata

2013

Published version of an article in the journal: Applied Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/s10489-013-0424-x There are currently two fundamental paradigms that have been used to enhance the convergence speed of Learning Automata (LA). The first involves the concept of utilizing the estimates of the reward probabilities, while the second involves discretizing the probability space in which the LA operates. This paper demonstrates how both of these can be simultaneously utilized, and in particular, by using the family of Bayesian estimates that have been proven to have distinct advantages over their maximum likelihood counterparts. The success of LA-…

Bayes estimatorLearning automataDiscretizationbusiness.industryComputer scienceMaximum likelihoodBayesian probabilityestimator algorithmsBayesian reasoningEstimatorlearning automataBayesian inferencediscretized learningVDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425Artificial Intelligenceε-optimalityArtificial intelligencepursuit schemesbusinessAlgorithm
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Rejection odds and rejection ratios: A proposal for statistical practice in testing hypotheses

2016

Much of science is (rightly or wrongly) driven by hypothesis testing. Even in situations where the hypothesis testing paradigm is correct, the common practice of basing inferences solely on p-values has been under intense criticism for over 50 years. We propose, as an alternative, the use of the odds of a correct rejection of the null hypothesis to incorrect rejection. Both pre-experimental versions (involving the power and Type I error) and post-experimental versions (depending on the actual data) are considered. Implementations are provided that range from depending only on the p-value to consideration of full Bayesian analysis. A surprise is that all implementations -- even the full Baye…

Bayes' ruleFOS: Computer and information sciencesComputer sciencemedia_common.quotation_subjectBayesian probabilityBayesian01 natural sciencesArticle050105 experimental psychologyStatistical powerOddsMethodology (stat.ME)010104 statistics & probabilityFrequentist inferenceBayes factorsEconometrics0501 psychology and cognitive sciencesp-value0101 mathematicsFrequentistPsychology(all)General PsychologyStatistics - Methodologymedia_commonMathematicsStatistical hypothesis testingApplied Mathematics05 social sciencesBayes factorSurpriseOddsNull hypothesisType I and type II errorsJournal of Mathematical Psychology
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Bayesian Inference for the Exponential Power Function Parameters

2008

This paper addresses the problem of obtaining the marginal posterior distributions, via Gibbs Sampler, for the parameters of the well-known generalized error distribution called Exponential Power Function (E.P.F.). This density represents a family of unimodal symmetric distributions with shapes varying from leptokurtic to platikurtic.

Bayesian Inference Exponential Power FunctionGibbs SamplerSettore SECS-S/01 - Statistica
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Integrating the human factor in FMECA-based risk evaluation through Bayesian networks

2020

The contribution of the present paper aims to develop the traditional Failure Modes, Effects and Criticality Analysis (FMECA) for quantitative risk analysis from a Bayesian Network (BN)-based perspective. The main purpose of research consists in providing a framework for analysing causal relationships for risk evaluation and deriving probabilistic inference among significant risk factors. These parameters will be represented by linguistic variables and will include the human factor as a key element of analysis. Traditional approaches for risk evaluation and management performed by FMECA [1] represent helpful tools to globally enhance systems and processes conditions [2]. However, such appro…

Bayesian NetworkSettore ING-IND/17 - Impianti Industriali MeccaniciHuman FactorRisk evaluationMATEMATICA APLICADAFMECA
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Commentary: Rational Adaptation in Lexical Prediction: The Influence of Prediction Strength

2021

Bayesian adaptationprobabilistic predictionprediction errorexpectation adaptationMean squared prediction errorrational adaptationPsychologypredictive cue validityPsychologyAdaptation (computer science)General PsychologyBF1-990Cognitive psychologyFrontiers in Psychology
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A Bayesian approach for predictive maintenance policy with imperfect monitoring

2009

In the traditional preventive maintenance policy, the periodic maintenance activities are scheduled on the basis of the a-priori information about the failure behaviour of the population which the component belongs to, by assuming a probability distribution function and by estimating the involved statistical parameters. On the contrary, with the predictive approach, the maintenance activity is scheduled on the basis of the real degradation level of the component. So, it is possible to reduce the failure probability and, at the same time, to use the component for almost all its useful life. For this reason, the predictive maintenance policy makes possible the reduction of the maintenance cos…

Bayesian approach Predictive maintenance Imperfect monitoring
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Medical news aggregation and ranking of taking into account the user needs

2019

The purpose of this work is to develop an intelligent information system that is designed for aggregation and ranking of news taking into account the needs of the user. The online market for mass media and the needs of readers, the purpose of their searches and moments is not enough to find the news is analyzed. A conceptual model of the information aggression system and ranking of news that would enable presentation of the work of the future intellectual information system, to show its structure is constructed. The methods and means for implementation of the intellectual information system are selected. An online resource for aggregation and ranking of news, news feeds and flexible setting…

Bayesian clustering Bayesian networks Content analisis Content ranking Context filtering Data mining Intelligent system Medical news News aggregation User needsCEUR Workshop Proceedings
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What can chromosomes tell us about the origins of primates?

2010

What can chromosomes tell us about the origins of primates? Barbara Picone1, Luca Sineo1, Daniele Silvestro2,3, Massimiliano DelPero4 and Judith Masters5 1 Dipartimento di Biologia Animale “G. Reverberi”, Università degli Studi di Palermo, Via Archirafi 18, 90123 Palermo, Italy; 2 Senckenberg Research Institute, Frankfurt am Main, Germany ; 3 Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany;4 Dipartimento di Biologia Animale e dell’Uomo, Università degli Studi di Torino, Via Accademia Albertina 13, 10124 Torino, Italy; 5Department of Zoology and Entomology, University of Fort Hare, Private Bag X1314, Alice 5700, South Africa; Our study investigated the usefulness…

Bayesian inferencechromosomeSettore BIO/08 - Antropologiaphylogeny
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The influence of the prior distribution on the uncertainty analysis assessment of an urban drainage stormwater quality model

2009

Bayesian methods uncertainty analysis urban drainage modelling
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