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We consider the basic problem of refi tting a time series over a finite period of time and formulate it as a stochastic dynamic program. By changing the underlying Markov decision process we are able to obtain a model that at optimality considers historical data as well as forecasts of future...
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Focuses on a study which developed a framework for forecast and decision horizons. Definition of finite and infinite horizon stochastic optimization problems for a given forecast; Description of the general framework; Conditions for the existence of a solution horizon; Development of sufficient...
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We compute a stochastic household forecast for the Netherlands by the random share method. Time series of shares of … persons in nine household positions, broken down by sex and five-year age group for the years 1996-2010 are modelled by means … of time indices for each household position for men and women. We model these time indices as a Random Walk with Drift …
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the current global pandemic crisis, the future of household finances is uncertain. The change of the macroeconomic and …
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