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Sensing Statistical Primary Network Patterns via Bayesian Network Structure Learning.

, , , , , and . IEEE Trans. Veh. Technol., 66 (4): 3143-3157 (2017)

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Efficient learning of statistical primary patterns via Bayesian network., , , , and . ICC, page 4871-4876. IEEE, (2015)Continuous Spatial Process Models for Spatial Extreme Values, and . Journal of Agricultural, Biological, and Environmental Statistics, (2010)A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables., , and . J. Mach. Learn. Res., (2021)BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 14509-14526. PMLR, (2022)Why the Rich Get Richer? On the Balancedness of Random Partition Models., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 12521-12541. PMLR, (2022)Row-clustering of a Point Process-valued Matrix., , , and . NeurIPS, page 20028-20039. (2021)Improving the performance of predictive process modeling for large datasets., , , and . Comput. Stat. Data Anal., 53 (8): 2873-2884 (2009)Sparse spatially clustered coefficient model via adaptive regularization., , , and . Comput. Stat. Data Anal., (2023)T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs., , and . NeurIPS, page 598-609. (2021)Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems., , , , and . NeurIPS, (2022)