商品の詳細
Bayesian Forecasting and Dynamic Models (Springer Series in Statistics) ハードカバーThis text is concerned with Bayesian learning, inference and forecasting in dynamic environments. We describe the structure and theory of classes of dynamic models and their uses in forecasting and time series analysis. The principles, models and methods of Bayesian forecasting and time - ries analysis have been developed extensively during the last thirty years. Thisdevelopmenthasinvolvedthoroughinvestigationofmathematicaland statistical aspects of forecasting models and related techniques. With this has come experience with applications in a variety of areas in commercial, industrial, scienti?c, and socio-economic ?elds. Much of the technical - velopment has been driven by the needs of forecasting practitioners and applied researchers. As a result, there now exists a relatively complete statistical and mathematical framework, presented and illustrated here.
カテゴリー: | 本・雑誌・漫画>>>本>>>ビジネス・経済 |
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商品の状態: | やや傷や汚れあり |
色: | イエロー系/オレンジ系/ベージュ系 |
配送料の負担: | 送料込み(出品者負担) |
配送の方法: | 佐川急便/日本郵便 |
発送元の地域: | 東京都 |
発送までの日数: | 1~2日で発送 |
商品の説明
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