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Adaptive Polar Sampling (APS) is proposed as a Markov chain Monte Carlomethod for Bayesian analysis of models with ill-behaved posteriordistributions. In order to sample efficiently from such a distribution,a location-scale transformation and a transformation to polarcoordinates are used. After...
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This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data … important determinants of participation, while race is much less important. -- Initial conditions ; missing data ; simulation …
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standard approaches (student-t-distribution, log normal, historical simulation) and sophisticated volatility models (EWMA …
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estimation approach, e.g., for agent based microsimulation models or complex multifractal models, simulation based estimators …
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orhistorical and Monte Carlo simulation methods. Although these approaches to overall VaR estimation have receivedsubstantial … the underlying statistical distributions, a variety of analyticalmethods and simulation-based methods are available. Aside … and incremental VaR in either a non-normal analytical setting or a MonteCarlo / historical simulation context.This paper …
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