23 research outputs found

    Forecasting inflation using dynamic model averaging

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    We forecast quarterly US inflation based on the generalized Phillips curve using econometric methods which incorporate dynamic model averaging. These methods not only allow for coefficients to change over time, but also allow for the entire forecasting model to change over time. We find that dynamic model averaging leads to substantial forecasting improvements over simple benchmark regressions and more sophisticated approaches such as those using time varying coefficient models. We also provide evidence on which sets of predictors are relevant for forecasting in each period

    Adaptive learning from model space

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    POPVI: A Probability-Based Optimal Policy Value Iteration Algorithm

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    Progressus

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    Progressus on luonnosmainen tilasuunnitelma Turun lentokentän saapuvien lentojen terminaaliin ja vastaantulohalliin. Työssä on pohdittu tilan toimintoja palvelumuotoilullisista lähtökohdista, jotka perustuvat syksyllä 2008 tehtyyn selvityshankkeeseen. Tilojen selkeys opasteiden luettavuuteen vaikuttavana tekijänä on ohjannut työn kulkua.Progressus is a sketch–like interior design plan for Turku airport arrivals terminal and reception hall. Activities practised in interior spaces are considered on service design basis ,based on a research project realized during Autumn 2008. Clarity of the premises has guided workflow when signage legibility was concerned
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