Search results for "Bayes' theorem"

showing 3 items of 43 documents

Using recursive Bayesian estimation for matching GPS measurements to imperfect road network data

2010

Map-matching refers to the process of projecting positioning measurements to a location on a digital road network map. It is an important element of intelligent transportation systems (ITS) focusing on driver assistance applications, on emergency and incident management, arterial and freeway management, and other applications. This paper addresses the problem of map-matching in the applications characterized by imperfect map quality and restricted computational resources - e.g. in the context of community-based ITS applications. Whereas a number of map-matching methods are available, often these methods rely on topological analysis, thereby making them sensitive to the map inaccuracies. In …

business.industryComputer scienceProbabilistic logicMap matchingcomputer.software_genreBayes' theoremIdentification (information)Global Positioning SystemMaximum a posteriori estimationData miningbusinessRecursive Bayesian estimationIntelligent transportation systemcomputer13th International IEEE Conference on Intelligent Transportation Systems
researchProduct

Bayesian reanalysis of a quantitative trait locus accounting for multiple environments by scaling in broilers1

2006

A Bayesian method was developed to handle QTL analyses of multiple experimental data of outbred populations with heterogeneity of variance between sexes for all random effects. The method employed a scaled reduced animal model with random polygenic and QTL allelic effects. A parsimonious model specification was applied by choosing assumptions regarding the covariance structure to limit the number of parameters to estimate. Markov chain Monte Carlo algorithms were applied to obtain marginal posterior densities. Simulation demonstrated that joint analysis of multiple environments is more powerful than separate single trait analyses of each environment. Measurements on broiler BW obtained from…

education.field_of_studybusiness.industryBayesian probabilityPopulationfood and beveragesAccountingMarkov chain Monte CarloGeneral MedicineCovarianceBiologyQuantitative trait locusRandom effects modelsymbols.namesakeBayes' theoremStatisticsGeneticsTraitsymbolsAnimal Science and ZoologybusinesseducationFood ScienceJournal of Animal Science
researchProduct

MODELLING VAGUE KNOWLEDGE FOR DECISION SUPPORT IN PLANNING ARCHAEOLOGICAL PROSPECTIONS

2012

Abstract. Most archaeological predictive models lack significance because fuzziness of data and uncertainty in knowledge about human behaviour and natural processes are hardly ever considered. One possibility to cope with such uncertainties is utilization of probability based approaches like Bayes Theorem or Dempster-Shafer-Theory. We analyzed an area of 50 km2 in Rhineland Palatinate (Germany) near a Celtic oppidum by use of Dempster-Shafer's theory of evidence for predicting spatial probability distribution of archaeological sites. This technique incorporates uncertainty by assigning various weights of evidence to defined variables, in that way estimating the probability for supporting a …

lcsh:Applied optics. PhotonicsDecision support systemGeographic information systemSettlement (structural)Computer sciencebusiness.industryProcess (engineering)lcsh:TDistribution (economics)lcsh:TA1501-1820computer.file_formatArchaeologylcsh:TechnologyBayes' theoremlcsh:TA1-2040StatisticsRaster graphicsbusinesslcsh:Engineering (General). Civil engineering (General)computerSelection (genetic algorithm)ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
researchProduct