Search results for " Probability"

showing 10 items of 2176 documents

Statistical formats to optimize evidence-based decision making: A behavioral approach

2013

Abstract Statistical information is crucial for managerial decision making. The decision-making literature in psychology and mathematical cognition documents how different statistical formats can facilitate certain types of decisions. The present analysis is the first of its kind to assess the impact of statistical formats in the presentation of data from market research on both the optimality of market decisions and the time required to perform the decision-making process. An economic experiment provides the data for this study. The experiment presents statistical information in simple frequencies and relative frequencies using numerical and pictorial representations in the context of diff…

MarketingInterpretation (logic)business.industryProcess (engineering)Numerical cognitionContext (language use)Machine learningcomputer.software_genreEconomic experiments Statistical formats Probability judgment Orthogonal design Judgment under uncertaintyFrequencyVariable (computer science)Market researchStatisticsKey (cryptography)Artificial intelligencebusinesscomputerJournal of Business Research
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Bayesian methods in cost-effectiveness studies: objectivity, computation and other relevant aspects.

2009

In a probabilistic sensitivity analysis (PSA) of a cost-effectiveness (CE) study, the unknown parameters are considered as random variables. A crucial question is what probabilistic distribution is suitable for synthesizing the available information (mainly data from clinical trials) about these parameters. In this context, the important role of Bayesian methodology has been recognized, where the parameters are of a random nature. We explore, in the context of CE analyses, how formal objective Bayesian methods can be implemented. We fully illustrate the methodology using two CE problems that frequently appear in the CE literature. The results are compared with those obtained with other popu…

Markov chainComputer scienceCost effectivenessHealth PolicyCost-Benefit AnalysisBayesian probabilityAnti-Inflammatory Agents Non-SteroidalProbabilistic logicContext (language use)Bayes Theoremcomputer.software_genreMarkov ChainsDecision Support TechniquesBayes' theoremOsteoarthritisHumansSensitivity (control systems)Data miningRandom variablecomputerMonte Carlo MethodHealth economics
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A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes

2011

Published version of an article from the book: Hybrid artificial intelligent systems, Lecture notes in computer science. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-642-21219-2_2 There are numerous applications in Artificial Intelligence (AI) and Machine Learning (ML) where the criteria for decisions are based on testing procedures. The most common tools used in such random phenomena involve Random Walks (RWs). The theory of RWs and its applications have gained an increasing research interest since the start of the last century. [1]. In this context, we note that a RW is, usually, defined as a trajectory involving a series of successive ran…

Markov chainGeneralizationbusiness.industryComputer science05 social sciencesProbabilistic logicContext (language use)Random walkMachine learningcomputer.software_genre01 natural sciences050105 experimental psychologyField (computer science)010104 statistics & probabilityVDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425Jump0501 psychology and cognitive sciencesMarkov propertyArtificial intelligence0101 mathematicsbusinesscomputer
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ℓ1-Penalized Methods in High-Dimensional Gaussian Markov Random Fields

2016

In the last 20 years, we have witnessed the dramatic development of new data acquisition technologies allowing to collect massive amount of data with relatively low cost. is new feature leads Donoho to define the twenty-first century as the century of data. A major characteristic of this modern data set is that the number of measured variables is larger than the sample size; the word high-dimensional data analysis is referred to the statistical methods developed to make inference with this new kind of data. This chapter is devoted to the study of some of the most recent ℓ1-penalized methods proposed in the literature to make sparse inference in a Gaussian Markov random field (GMRF) defined …

Markov kernelMarkov random fieldMarkov chainComputer scienceStructured Graphical lassoVariable-order Markov model010103 numerical & computational mathematicsMarkov Random FieldMarkov model01 natural sciencesGaussian random field010104 statistics & probabilityHigh-Dimensional InferenceMarkov renewal processTuning Parameter SelectionMarkov propertyJoint Graphical lassoStatistical physics0101 mathematicsSettore SECS-S/01 - StatisticaGraphical lasso
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Statistical Shape and Probability Prior Model for Automatic Prostate Segmentation

2011

International audience; Accurate prostate segmentation in Trans Rectal Ultra Sound (TRUS) images is an important step in different clinical applications. However, the development of computer aided automatic prostate segmentation in TRUS images is a challenging task due to low contrast, heterogeneous intensity distribution inside the prostate region, imaging artifacts like shadow, and speckle. Significant variations in prostate shape, size and contrast between the datasets pose further challenges to achieve an accurate segmentation. In this paper we propose to use graph cuts in a Bayesian framework for automatic initialization and propagate multiple mean parametric models derived from princi…

Markov random field[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryPosterior probability[INFO.INFO-IM] Computer Science [cs]/Medical ImagingInitializationPattern recognitionImage segmentation01 natural sciences030218 nuclear medicine & medical imagingActive appearance model010104 statistics & probability03 medical and health sciences0302 clinical medicineHausdorff distanceCutParametric model[INFO.INFO-IM]Computer Science [cs]/Medical ImagingComputer visionArtificial intelligence0101 mathematicsbusinessMathematics
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Le martingale: aspetti teorici ed applicativi

2001

This paper offers an overview on the characteristics of martingales. These latter are markovian processes without underlying trend, in which the stochastic variable depends on its ultimate realisation. Some application fields are in studies relative to financial markets, and especially the derivative securities. Drawing from the theoretical and empirical literature, the main mathematical characteristics are presented. In order to transform processes with increasing or decreasing trends into martingales, the Doob-Meyer decomposition and the change of probability measure approaches can be adopted. Finally, four applications are considered with regard to the pricing of futures, call options an…

Martingales stochastic processes calculus of probabilitySettore MAT/06 - Probabilita' E Statistica Matematica
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Is there contextuality in behavioural and social systems?

2015

Most behavioral and social experiments aimed at revealing contextuality are confined to cyclic systems with binary outcomes. In quantum physics, this broad class of systems includes as special cases Klyachko-Can-Binicioglu-Shumovsky-type, Einstein-Podolsky-Rosen-Bell-type, and Suppes-Zanotti-Leggett-Garg-type systems. The theory of contextuality known as Contextuality-by-Default allows one to define and measure contextuality in all such system, even if there are context-dependent errors in measurements, or if something in the contexts directly interacts with the measurements. This makes the theory especially suitable for behavioral and social systems, where direct interactions of "everythin…

Matching (statistics)Class (set theory)Computer scienceGeneral Mathematicsinconsistent connectednessFOS: Physical sciencesGeneral Physics and AstronomyWorking hypothesisPublic opinion01 natural sciences050105 experimental psychology0103 physical sciencesFOS: Mathematicscontextuality0501 psychology and cognitive sciences010306 general physicsta515Quantum Physicsbusiness.industryOptical illusionProbability (math.PR)ta11105 social sciencescyclic systemsGeneral EngineeringKochen–Specker theorem81P13 81Q99 60A99 81P13 81Q99 60A99 81P13 81Q99 60A99Social systemFOS: Biological sciencesQuantitative Biology - Neurons and CognitionNeurons and Cognition (q-bio.NC)Quantum Physics (quant-ph)businessSocial experimentMathematics - ProbabilityCognitive psychologyPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Effect of framework type on survival probability of implant-supported temporary crowns : an in vitro study

2020

Made available in DSpace on 2020-12-12T01:29:18Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01 Background: This in vitro study evaluated the effect of framework type on the survival probability of temporary implant-supported crowns and on the implant platform structure after dynamic fatigue. Material and Methods: Thirty (30) external hexagon implants (3.75 x 10 mm) were embedded in acrylic resin following the ISO-14801. Standardized temporary crowns (n=10, N=30) were manufactured in acrylic resin and divided according to the framework type: Total plastic, Plastic with CoCr base and Titanium. The crowns were installed onto the implants (20N. cm) and fatigued (100N, 2 Hz) to det…

Materials scienceDentistrychemistry.chemical_elementImplant dentistry03 medical and health sciences0302 clinical medicineMethodological studySurvival probabilityIn vitro studyGeneral DentistryAcrylic resinOcclusionbusiness.industryImplant dentistry030206 dentistry:CIENCIAS MÉDICAS [UNESCO]Axial loadingchemistry030220 oncology & carcinogenesisvisual_artUNESCO::CIENCIAS MÉDICASvisual_art.visual_art_mediumImplantbusinessImplant supportedTitanium
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Influence of the simultaneous calibration of multiple ring dosimeters on the individual absorbed dose

2021

Abstract Ring dosimeters for personal dosimetry are calibrated in accredited laboratories following ISO 4037-3 guidelines. The simultaneous irradiation of multiple dosimeters would save time, but has to be carefully studied, since the scattering conditions could change and influence the absorbed dose in nearby dosimeters. Monte Carlo simulations using PENELOPE-2014 were performed to explore the need to increase the uncertainty of H p 0 .07 in the simultaneous irradiation of three and five DXT-RAD 707H-2 (Thermo Scientific) ring dosimeters with beam qualities: N-30, N-80 and N-300. Results show that the absorbed dose in each dosimeter is compatible with each of the others and with the refere…

Materials scienceDosimeterRadiation Dosimetersbusiness.industryMonte Carlo methodPublic Health Environmental and Occupational HealthCoverage probabilityGeneral Medicine030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineOptics030220 oncology & carcinogenesisAbsorbed doseCalibrationCalibrationDosimetryComputer SimulationIrradiationRadiometryCalibration ISO 4037 Monte Carlo Personal dosimetry Ring dosimetersbusinessMonte Carlo MethodWaste Management and DisposalBeam (structure)Journal of Radiological Protection
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Determination of lifetime probabilities of carbon fibre composite plates and pressure vessels for hydrogen storage

2011

International audience; It is shown that an analogy can be made between the failure of unidirectional carbon fibre reinforced epoxy plates and filament wound carbon fibre composite pressure vessels and that their strengths and failure probabilities can be determined. Fibres in filament wound composite structures are placed on geodesic paths around the mandrel, which becomes the liner; so that when the structure is pressurised the fibres are only subjected to tensile forces, as in a unidirectional composite. Multiscale modelling reveals that composite failure is controlled by fibre breakage and that clustering of fibre breaks determines ultimate reliability of the structure. Time dependent r…

Materials scienceFibre failureComposite number[ SPI.MAT ] Engineering Sciences [physics]/MaterialsEnergy Engineering and Power TechnologyLife prediction02 engineering and technology010402 general chemistry01 natural sciencesViscoelastic matrix[SPI.MAT]Engineering Sciences [physics]/MaterialsProtein filamentMultiscale modellingBreakageUltimate tensile strengthComposite materialRenewable Energy Sustainability and the EnvironmentEpoxy021001 nanoscience & nanotechnologyCondensed Matter PhysicsPressure vesselFailure probability0104 chemical sciencesMandrelFuel TechnologyComposite pressure vesselvisual_artvisual_art.visual_art_mediumRelaxation (physics)0210 nano-technology
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