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  1. Robert, Christian P. [Author] ; Wu, Changye [Other]; Thonhauser, Stefan [Other]; Tichy, Robert [Other]

    The coordinate sampler: a non-reversible Gibbs-like MCMC sampler

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    [Erscheinungsort nicht ermittelbar]: Centre International de Rencontres Mathématiques (CIRM), 2020

    Published in: Jean-Morlet Chair (2255) - Research School: Quasi-Monte Carlo Methods and Applications ; (Jan. 2020)

  3. Fischer, Manfred M. [Author]; Hauzenberger, Niko [Author]; Huber, Florian [Author]; Huber, Florian [Author]

    General Bayesian time-varying parameter vector autoregressions for modeling government bond yields

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    2023

    Published in: Journal of applied econometrics ; 38(2023), 1 vom: Jan./Feb., Seite 69-87

  4. Nguyen Ngoc Thach [Author]; Bui Hoang Ngoc [Author]

    Nexus between tourism and ecological footprint in RCEP : fresh evidence from Bayesian MCMC random-effects sampling

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    2023

    Published in: Cogent business & management ; 10(2023), 1, Artikel-ID 2208703, Seite 1-17

  7. Ferreira, Leonardo Nogueira [Author]

    Forecasting with VAR-teXt and DFM-teXt models: exploring the predictive power of central bank communication

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    Brasília, DF, Brazil: Banco Central do Brasil, [2021]

    Published in: Banco Central do Brasil: Série de trabalhos para discussão ; 559

  14. Fischer, Manfred M. [Author]; Hauzenberger, Niko [Author]; Huber, Florian [Author]; Pfarrhofer, Michael [Author]

    General Bayesian time-varying parameter VARs for modeling government bond yields

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    Vienna: WU Vienna University of Economics and Business, [2022]

    Published in: Working papers in regional science ; 2021,1

  15. Traullé, Benjamin [Author] ; Toulouse, ISAE [Contributor]; Bidon, Stéphanie [Contributor]; Roque, Damien [Contributor]

    Techniques d’échantillonnage pour la déconvolution aveugle bayésienne ; Sampling techniques for Bayesian blind deconvolution

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    theses.fr, 2024-01-22

  16. Riou-Durand, Lionel [Author] ; Université Paris-Saclay (ComUE) [Contributor]; Chopin, Nicolas [Contributor]

    Theoretical contributions to Monte Carlo methods, and applications to Statistics ; Contributions théoriques aux méthodes de Monte Carlo, et applications à la Statistique

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    theses.fr, 2019-07-05

  18. Francetich, Alejandro [Author]; Kreps, David M. [Author]

    Bayesian inference does not lead you astray... on average - [This version: September, 2014]

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    Milano, Italy: IGIER, Università Bocconi, [2014]

    Published in: Innocenzo Gasparini Institute for Economic Research: Working papers ; 514

  20. Lander, David [Author]; Gunawan, David [Author]; Griffiths, William [Author]; Duangkamon Chotikapanich [Author]

    Bayesian assessment of Lorenz and stochastic dominance

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    Melbourne: University of Melbourne, Department of Economics, March 13, 2017

    Published in: University of Melbourne: Working papers ; 2029