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Partial Identification of Heteroskedastic Structural VARs: Theory and Bayesian Inference. (2024). Lütkepohl, Helmut ; Lutkepohl, Helmut ; Wo, Tomasz ; Uzeda, Luis ; Shang, Fei.
In: Papers.
RePEc:arx:papers:2404.11057.

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  1. A large non-Gaussian structural VAR with application to Monetary Policy. (2024). Pruser, Jan.
    In: Papers.
    RePEc:arx:papers:2412.17598.

    Full description at Econpapers || Download paper

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  48. Developments on the Bayesian Structural Time Series Model: Trending Growth. (2020). Kohns, David ; Bhattacharjee, Arnab.
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  49. Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices. (2020). Nott, David J ; Smith, Michael Stanley ; Klein, Nadja.
    In: Papers.
    RePEc:arx:papers:2010.01844.

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  50. Inference in Bayesian Additive Vector Autoregressive Tree Models. (2020). Huber, Florian ; Rossini, Luca.
    In: Papers.
    RePEc:arx:papers:2006.16333.

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  51. Flexible Mixture Priors for Large Time-varying Parameter Models. (2020). Hauzenberger, Niko.
    In: Papers.
    RePEc:arx:papers:2006.10088.

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  52. Bayesian Inference in High-Dimensional Time-varying Parameter Models using Integrated Rotated Gaussian Approximations. (2020). Pfarrhofer, Michael ; Koop, Gary ; Huber, Florian.
    In: Papers.
    RePEc:arx:papers:2002.10274.

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  53. Markov Switching. (2020). Wo, Tomasz ; Song, Yong.
    In: Papers.
    RePEc:arx:papers:2002.03598.

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  54. A multi-country dynamic factor model with stochastic volatility for euro area business cycle analysis. (2020). Huber, Florian ; Piribauer, Philipp ; Pfarrhofer, Michael.
    In: Papers.
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  55. Measuring international uncertainty using global vector autoregressions with drifting parameters. (2019). Pfarrhofer, Michael.
    In: Working Papers in Economics.
    RePEc:ris:sbgwpe:2019_003.

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  56. Bayesian Analysis of Coefficient Instability in Dynamic Regressions. (2019). Taboga, Marco ; Ciapanna, Emanuela.
    In: Econometrics.
    RePEc:gam:jecnmx:v:7:y:2019:i:3:p:29-:d:243958.

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  57. Triple the gamma -- A unifying shrinkage prior for variance and variable selection in sparse state space and TVP models. (2019). Knaus, Peter ; Fruhwirth-Schnatter, Sylvia ; Cadonna, Annalisa.
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  58. Measuring international uncertainty using global vector autoregressions with drifting parameters. (2019). Pfarrhofer, Michael.
    In: Papers.
    RePEc:arx:papers:1908.06325.

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  59. Shrinkage in the Time-Varying Parameter Model Framework Using the R Package shrinkTVP. (2019). Knaus, Peter ; Fruhwirth-Schnatter, Sylvia ; Cadonna, Annalisa ; Bitto-Nemling, Angela.
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    RePEc:arx:papers:1907.07065.

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  60. Bayesian nonparametric graphical models for time-varying parameters VAR. (2019). Rossini, Luca ; Iacopini, Matteo.
    In: Papers.
    RePEc:arx:papers:1906.02140.

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