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T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs., , и . NeurIPS, стр. 598-609. (2021)Continuous Spatial Process Models for Spatial Extreme Values, и . Journal of Agricultural, Biological, and Environmental Statistics, (2010)BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression., , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 14509-14526. PMLR, (2022)Why the Rich Get Richer? On the Balancedness of Random Partition Models., и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 12521-12541. PMLR, (2022)Row-clustering of a Point Process-valued Matrix., , , и . NeurIPS, стр. 20028-20039. (2021)Efficient learning of statistical primary patterns via Bayesian network., , , , и . ICC, стр. 4871-4876. IEEE, (2015)A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables., , и . J. Mach. Learn. Res., (2021)Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems., , , , и . NeurIPS, (2022)A full scale approximation of covariance functions for large spatial data sets, и . Journal of the Royal Statistical Society: Series B (Statistical Methodology), 74 (1): 111--132 (2012)Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 3559-3576. PMLR, (2023)