Search results for "Monte Carlo method"

showing 10 items of 1234 documents

Split decomposition A technique to analyze viral evolution

1993

A clustering technique allowing a restricted amount of overlapping and based on an abstract theory of coherent decompositions of finite metrics is used to analyze the evolution of foot-and-mouth disease viruses. The emerging picture is compatible with the existence of viral populations with a quasispecies structure and illustrates various forms of evolution of this virus family. In addition, it allows the correlation of these forms with geographic occurrence.

EVOLUTIONARY TREESViral quasispeciesBiologyAbstract theoryOVERLAPPING CLUSTERINGAphthovirusMolecular evolutionAnimalsQuantitative Biology::Populations and EvolutionSerotypingCluster analysisGeneticsMultidisciplinaryModels GeneticPhylogenetic treeQUASI-SPECIESHamming distanceBiological EvolutionInvestigation methodsViral evolutionVirusesCattleBiological systemMonte Carlo MethodMathematicsResearch Article
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Residual-based block bootstrap for cointegration testing

2010

We propose a new testing procedure to determine the rank of cointegration. This new method is based on the nonparametric resampling procedure, so-called Residual-Based Block Bootstrap (RBB), which is developed by Paparoditis and Politis (2003) in the context of unit root testing. Through Monte Carlo experiments we show that, in small samples, the RBB cointegration test has good power properties in relation to the other two well-known tests for cointegration, such as the Augmented Dickey–Fuller (ADF), applied to the residual of a cointegrating regression, and the Johansen's maximum eigenvalue tests. Likewise, this article looks at the influence played by the correlation of the ‘X’ variables …

Economics and EconometricsCointegrationResamplingMonte Carlo methodStatisticsEconometricsNonparametric statisticsContext (language use)ResidualJohansen testRegressionMathematicsApplied Economics Letters
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Model Based Monte Carlo Pricing of Energy and Temperature Quanto Options

2010

Weather derivatives have become very popular tools in weather risk management in recent years. One of the elements supporting their diffusion has been the increase in volatility observed on many energy markets. Among the several available contracts, Quanto options are now becoming very popular for a simple reason: they take into account the strong correlation between energy consumption and certain weather conditions, so enabling price and weather risk to be controlled at the same time. These products are more efficient and, in many cases, significantly cheaper than simpler plain vanilla options. Unfortunately, the specific features of energy and weather time series do not enable the use of …

Economics and EconometricsComputer scienceMonte Carlo methodTemperature levelBivariate analysisEnergy priceDynamic modelMicroeconomicsEconomicsEconometricsweather derivatives Quanto options pricing derivative pricing model simulation and forecast.Time seriesQuanto options; Temperature level; Energy price; Dynamic modelMonte Carlo methods for option pricingjel:C53Quanto optionsjel:C51Energy consumptionVariance (accounting)jel:C32Quantojel:G13weather derivatives; Quanto options pricing; derivative pricing; model simulation; forecastjel:L94jel:G17General Energyjel:Q54Binomial options pricing modelVolatility (finance)Futures contract
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A Note on Resampling the Integration Across the Correlation Integral with Alternative Ranges

2003

Abstract This paper reconsiders the nonlinearity test proposed by Ko[cbreve]enda (Ko[cbreve]enda, E. (2001). An alternative to the BDS test: integration across the correlation integral. Econometric Reviews20:337–351). When the analyzed series is non‐Gaussian, the empirical rejection rates can be much larger than the nominal size. In this context, the necessity of tabulating the empirical distribution of the statistic each time the test is computed is stressed. To that end, simple random permutation works reasonably well. This paper also shows, through Monte Carlo experiments, that Ko[cbreve]enda's test can be more powerful than the Brock et al. (Brock, W., Dechert, D., Scheickman, J., LeBar…

Economics and EconometricsCorrelation dimensionResamplingMonte Carlo methodEconometricsCorrelation integralContext (language use)Random permutationEmpirical distribution functionStatisticMathematicsEconometric Reviews
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Sampling properties of the Bayesian posterior mean with an application to WALS estimation

2022

Many statistical and econometric learning methods rely on Bayesian ideas, often applied or reinterpreted in a frequentist setting. Two leading examples are shrinkage estimators and model averaging estimators, such as weighted-average least squares (WALS). In many instances, the accuracy of these learning methods in repeated samples is assessed using the variance of the posterior distribution of the parameters of interest given the data. This may be permissible when the sample size is large because, under the conditions of the Bernstein--von Mises theorem, the posterior variance agrees asymptotically with the frequentist variance. In finite samples, however, things are less clear. In this pa…

Economics and EconometricsWALS.SDG 16 - PeaceSettore SECS-P/05Monte Carlo methodBayesian probabilityPosterior probabilitySettore SECS-P/05 - EconometriaDouble-shrinkage estimators01 natural sciencesLeast squares010104 statistics & probabilityFrequentist inference0502 economics and businessStatisticsPosterior moments and cumulantsStatistics::Methodology0101 mathematicsdouble-shrinkage estimator050205 econometrics MathematicsWALSLocation modelApplied Mathematics05 social sciencesSDG 16 - Peace Justice and Strong InstitutionsUnivariateSampling (statistics)EstimatorVariance (accounting)/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutionsJustice and Strong InstitutionsSample size determinationposterior moments and cumulantNormal location modelJournal of Econometrics
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DETECTING VOLCANIC ERUPTIONS IN TEMPERATURE RECONSTRUCTIONS BY DESIGNED BREAK-INDICATOR SATURATION

2016

We present a methodology for detecting breaks at any point in time-series regression models using an indicator saturation approach, applied here to modelling climate change. Building on recent developments in econometric model selection for more variables than observations, we saturate a regression model with a full set of designed break functions. By selecting over these break functions using an extended general-to-specific algorithm, we obtain unbiased estimates of the break date and magnitude. Monte Carlo simulations confirm the approximate properties of the approach. We assess the methodology by detecting volcanic eruptions in a time series of Northern Hemisphere mean temperature spanni…

Economics and Econometricsgeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesModel selectionMonte Carlo methodNorthern HemisphereClimate changeRegression analysis01 natural sciencesPhysics::Geophysics010104 statistics & probabilityVolcanoClimatologyPaleoclimatologyEconomics0101 mathematicsMean radiant temperaturePhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesJournal of Economic Surveys
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Considerations about multiple and plural scattering in heavy-ion low-energy ERDA

2009

Abstract Low-energy heavy-ion Elastic Recoil Detection Analysis (ERDA) is becoming a mature technique for high-resolution characterization of thin films, i.e. below 50 nm thickness. In combination with a small tandem accelerator (∼2 MV terminal voltage) and beam energies below 20 MeV, it is suitable for routine analysis of key materials in semiconductor technology. At low-energies, however, small angle multiple scattering and large angle plural scattering of ions play a significant role, starting from the first nanometers. Multiple and plural scattering dominate the depth resolution deterioration with increasing depth and, when glancing angles are used, introduce long tails in the elemental…

Elastic recoil detectionNuclear and High Energy PhysicsRecoilScatteringChemistryMonte Carlo methodThin filmAtomic physicsInstrumentationBeam (structure)Characterization (materials science)IonNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Inclusive pion-nucleus double charge exchange.

1989

Inclusive double charge exchange reaction is studied by using a model which combines a microscopic many-body calculation of reaction probabilities with a Monte Carlo simulation procedure. Comparison with present experimental results requires that the (\ensuremath{\pi},2\ensuremath{\pi}) reaction be included and a proper evaluation of this latter reaction is also done. The combined results compare favorably with experiment, giving extra support to this model of the pion-nucleus interaction which was previously shown to provide a good description of all other inclusive reactions and elastic scattering.

Elastic scatteringNuclear reactionCoupling constantPhysicsNuclear and High Energy PhysicsParticle physicsMonte Carlo methodMany-body problemNuclear physicsPionmedicine.anatomical_structuremedicineNuclear ExperimentNucleusCharge exchangePhysical review. C, Nuclear physics
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A low energy bound atomic electron Compton scattering model for Geant4

2014

Abstract A two-body fully relativistic three-dimensional scattering framework has been utilised to develop an alternative Compton scattering computational model to those adapted from Ribberfors’ work for Monte Carlo modelling of Compton scattering. Using a theoretical foundation that ensures the conservation of energy and momentum in the relativistic impulse approximation, this new model, the Monash University Compton scattering model, develops energy and directional algorithms for both the scattered photon and ejected Compton electron from first principles. The Monash University Compton scattering model was developed to address the limitation of the Compton electron directionality algorith…

Elastic scatteringPhysicsNuclear and High Energy PhysicsPhotonScatteringAstrophysics::High Energy Astrophysical PhenomenaMonte Carlo methodCompton scatteringElectronInelastic scatteringTwo-body problemComputational physicsAtomic physicsInstrumentationNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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C-S-H/solution interface: Experimental and Monte Carlo studies

2010

International audience; The surface charge density of C-S-H particles appears to be one of the key parameters for predicting the cohesion strength, understanding the ion retention, the pollutant leakage, and admixture adsorption in hydrated cement pastes. This paper presents a Monte Carlo simulation of the surface-ions interactions that permits the prediction of surface charge density (σ), electrokinetic potential (ζ) and ions adsorption of mineral surfaces in equilibrium with a given electrolyte solution. Simulated results are compared to experimental data obtained by titration, electrokinetic potential measurements and ions uptake in the case of C-S-H suspensions. An excellent agreement i…

Electrokinetic potentialMonte Carlo method0211 other engineering and technologiesAnalytical chemistryThermodynamics02 engineering and technologyElectrolyte[PHYS.PHYS.PHYS-CHEM-PH] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Electrokinetic phenomenaAdsorption021105 building & constructionGeneral Materials ScienceSurface chargeSurface charge densityCationChemistryCalcium-silicate-hydrate (C-S-H)Potential Determining IonCharge densityBuilding and Construction021001 nanoscience & nanotechnologyElectrostatics[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Calcium-silicate-hydrate[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Adsorption0210 nano-technology
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