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Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models., , и . Stat. Comput., 33 (1): 24 (2023)deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression., , , , , , , , , и 1 other автор(ы). CoRR, (2021)deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression., , , , , , , , , и 4 other автор(ы). J. Stat. Softw., (2023)Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families., , , и . CoRR, (2023)bamlss: A Lego Toolbox for Flexible Bayesian Regression (and Beyond)., , , и . CoRR, (2019)A Unifying Network Architecture for Semi-Structured Deep Distributional Learning., , и . CoRR, (2020)Informed Priors for Knowledge Integration in Trajectory Prediction., , и . CoRR, (2022)Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach., и . Stat. Comput., 26 (4): 841-860 (2016)A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes., , и . Stat. Comput., 32 (5): 73 (2022)Correcting for sample selection bias in Bayesian distributional regression models., , и . Comput. Stat. Data Anal., (2022)