Birr, Stefan
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2

Deep Learning Based Forecasting: A Case Study from the Onli..:

, In: Palgrave Advances in the Economics of Innovation and Technology; Forecasting with Artificial Intelligence,
Kunz, Manuel ; Birr, Stefan ; Raslan, Mones.. - p. 279-311 , 2023
 
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4

Quantile Spectral Analysis for Locally Stationary Time Seri..:

Birr, Stefan ; Volgushev, Stanislav ; Kley, Tobias..
Journal of the Royal Statistical Society Series B: Statistical Methodology.  79 (2017)  5 - p. 1619-1643 , 2017
 
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5

On Wigner–Ville Spectra and the Uniqueness of Time‐Varying ..:

Birr, Stefan ; Dette, Holger ; Hallin, Marc..
Journal of Time Series Analysis.  39 (2017)  3 - p. 242-250 , 2017
 
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6

Quantile spectral analysis for locally stationary time seri..:

Birr, Stefan ; Volgushev, Stanislav ; Kley, Tobias..
Journal of the Royal Statistical Society. Series B (Statistical Methodology).  79 (2017)  5 - p. 1619-1643 , 2017
 
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8

Model assessment for time series dynamics using copula spec..:

Birr, Stefan ; Kley, Tobias ; Volgushev, Stanislav
Birr , S , Kley , T & Volgushev , S 2019 , ' Model assessment for time series dynamics using copula spectral densities : A graphical tool ' , Journal of Multivariate Analysis , vol. 172 , no. 209 , pp. 122-146 . https://doi.org/10.1016/j.jmva.2019.03.003.  , 2019
 
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10

On Wigner-Ville spectra and the unicity of time-varying qua..:

Birr, Stefan ; Dette, Holger ; Hallin, Marc..
Birr , S , Dette , H , Hallin , M , Kley , T & Volgushev , S 2018 , ' On Wigner-Ville spectra and the unicity of time-varying quantile-based spectral densities ' , Journal of Time Series Analysis , vol. 39 , no. 3 , pp. 242-250 . https://doi.org/10.1111/jtsa.12252.  , 2018
 
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11

Quantile spectral analysis for locally stationary time seri..:

Birr, Stefan ; Volgushev, Stanislav ; Kley, Tobias..
Birr , S , Volgushev , S , Kley , T , Dette , H & Hallin , M 2017 , ' Quantile spectral analysis for locally stationary time series ' , Journal of the Royal Statistical Society: Series B , vol. 79 , no. 5 , pp. 1619-1643 . https://doi.org/10.1111/rssb.12231.  , 2017
 
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