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서울대학교 자연과학대학 통계학과

논문[61]

#61. Scalable and optimal Bayesian inference for sparse covariance matrices via screened beta-mixture prior

2022.6

(DOI) https://doi.org/10.48550/arXiv.2206.12773

#60. The beta-mixture shrinkage prior for sparse covariances with near-minimax posterior convergence rate

2022.6 · Journal of Multivariate Analysis 192(12):105067

(DOI) https://doi.org/10.1016/j.jmva.2022.105067