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number of observations around the location parameter. We show that both of these effects lead to estimation problems in ESTAR … models. We illustrate this by means of an empirical replication of a widely cited study, as well as a simulation exercise. …
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We present a model for hourly electricity load forecasting based on stochastically time-varying processes that are designed to account for changes in customer behaviour and in utility production efficiencies. The model is periodic: it consists of different equations and different parameters for...
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Empirical volatility studies have discovered nonstationary, long-memory dynamics in the volatility of the stock market and foreign exchange rates. This highly persistent, infinite variance - but still mean reverting - behavior is commonly found with nonparametric estimates of the fractional...
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conditional distribution of the states by a multivariate Gaussian or t density, which is then used for posterior simulation. We …
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estimation of nonlinear dynamic economic models, many of which are computationally intractable using exisiting methods. I …
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