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  1. On The Effect of Prior Assumptions In Bayesian Model Averaging With Applications To Growth Regression
    Published: 2007
    Publisher:  The World Bank, Washington, D.C

    This paper examines the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of potential regressors and relatively limited numbers of observations.... more

    Ostbayerische Technische Hochschule Amberg-Weiden / Hochschulbibliothek Amberg
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    This paper examines the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of potential regressors and relatively limited numbers of observations. The paper analyzes the effect of a variety of prior assumptions on the inference concerning model size, posterior inclusion probabilities of regressors, and predictive performance. The analysis illustrates these issues in the context of cross-country growth regressions using three datasets with 41 to 67 potential drivers of growth and 72 to 93 observations. The results favor particular prior structures for use in this and related contexts

     

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    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Subjects: Literatur
    Other subjects: Area; Arts and Music; Binomial distribution; Classification; Culture & Development; Drawing; Drawings; Educational Technology and Distance Learning; Essays; Geographical Information Systems; Information Security and Privacy; Literature; Performances; Picture; Science and Technology Development; Simulation; Statistical and Mathematical Sciences
    Scope: 1 Online-Ressource (1 online resource (25 p.))
    Notes:

    Weitere Ausgabe: Steel, Mark F.J : On The Effect of Prior Assumptions In Bayesian Model Averaging With Applications To Growth Regression

  2. On The Effect of Prior Assumptions In Bayesian Model Averaging With Applications To Growth Regression
    Published: 2007
    Publisher:  The World Bank, Washington, D.C

    This paper examines the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of potential regressors and relatively limited numbers of observations.... more

    Hochschule für Technik und Wirtschaft Berlin, Hochschulbibliothek
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    This paper examines the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of potential regressors and relatively limited numbers of observations. The paper analyzes the effect of a variety of prior assumptions on the inference concerning model size, posterior inclusion probabilities of regressors, and predictive performance. The analysis illustrates these issues in the context of cross-country growth regressions using three datasets with 41 to 67 potential drivers of growth and 72 to 93 observations. The results favor particular prior structures for use in this and related contexts

     

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    Volltext (URL des Erstveröffentlichers)
    Volltext (Deutschlandweit zugänglich)
    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Book
    Format: Online
    Subjects: Literatur
    Other subjects: Area; Arts and Music; Binomial distribution; Classification; Culture & Development; Drawing; Drawings; Educational Technology and Distance Learning; Essays; Geographical Information Systems; Information Security and Privacy; Literature; Performances; Picture; Science and Technology Development; Simulation; Statistical and Mathematical Sciences
    Scope: 1 Online-Ressource (1 online resource (25 p.))
    Notes:

    Weitere Ausgabe: Steel, Mark F.J : On The Effect of Prior Assumptions In Bayesian Model Averaging With Applications To Growth Regression

  3. The lexis of the Bay of Kotor: the northwestern and southeastern area
    the language of the Boka Bay
    Published: [2020]
    Publisher:  Peter Lang, Berlin

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783631808788; 363180878X
    Other identifier:
    9783631808788
    Series: Symbolae Slavicae ; Band 38
    Subjects: Mundart Montenegrinisch <Boka Kotorska>; Lehnwort; Lexikologie
    Other subjects: (Produktform)Hardback; (Zielgruppe)Fachpublikum/ Wissenschaft; (BISAC Subject Heading)LAN009000; (BISAC Subject Heading)FOR000000: FOREIGN LANGUAGE STUDY / General; (BISAC Subject Heading)LAN000000: LANGUAGE ARTS & DISCIPLINES / General; (BISAC Subject Heading)LIT003000: LITERARY CRITICISM / Feminist; (BISAC Subject Heading)LIT004110: LITERARY CRITICISM / European / Eastern (see also Russian & Former Soviet Union); (BISAC Subject Heading)LIT004120: LITERARY CRITICISM / European / English, Irish, Scottish, Welsh; (BISAC Subject Heading)LIT004130: LITERARY CRITICISM / European / General; (BISAC Subject Heading)LIT004150: LITERARY CRITICISM / European / French; (BISAC Subject Heading)LIT004170: LITERARY CRITICISM / European / German; (BISAC Subject Heading)LIT004200: LITERARY CRITICISM / European / Italian; (BIC subject category)CF: linguistics; (BIC subject category)DSB: Literary studies: general; (BIC language qualifier (language as subject))2AG: Slavic (Slavonic) languages; Area; Boka; Crnogorac; Cronogorac; Kahl; Kotor; Language; Lexis; Northwestern; Sanja; Southeastern; Thede; (BISAC Subject Heading)LAN009000; (VLB-WN)1568: Hardcover, Softcover / Sprachwissenschaft, Literaturwissenschaft/Slawische Sprachwissenschaft, Literaturwissenschaft
    Scope: 241 Seiten, Illustrationen, 22 cm, 389 g
  4. The ERPD matrix "scorecard": quantifying the macro-financial performance of the ASEAN+3 economies
    Published: April 2020
    Publisher:  ASEAN+3 Macroeconomic Research Office, [Singapore]

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Working paper / ASEAN+3 Macroeconomic Research Office ; WP/20, 01
    Subjects: Area; benchmark; CMIM; Criterion; Element; ERPD Matrix; Indicator; macro-financial; normal distribution; Scorecard; surveillance; z-score
    Scope: 1 Online-Ressource (circa 37 Seiten), Illustrationen