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-series, spatial statistics) where currenty breakdown definitions typically fail. We illustrate our points using examples from linear … and non-linear regression as well as time-series and spatial statistics. …
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completely new sequential importance sampling estimator of the desired tail probability. Numerical experiments suggest that the … sequential importance sampling estimator can be significantly more efficient than its competitor. …
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We present new results for the likelihood-based analysis of the dynamic factor model that possibly includes intercepts and explanatory variables. The latent factors are modelled by stochastic processes. The idiosyncratic disturbances are specified as autoregressive processes with mutually...
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