3 papers
stat.ME2026
Bayesian factorization via shrinkage
Shicheng Liu, Qingping Zhou, Yanan Fan +1
Factor models are widely used for dimension reduction. Bayesian approaches to these models often place a prior on the factor loadings that allows for infinitely many factors, with…
stat.CO2024
Fused prior for large scale linear inverse problem with Gibbs bouncy particle sampler
Xiongwen Ke, Yanan Fan, Qingping Zhou
In this paper, we study Bayesian approach for solving large scale linear inverse problems arising in various scientific and engineering fields. We propose a fused prior w…
stat.ME2023
Adaptive Importance Sampling and Quasi-Monte Carlo Methods for 6G URLLC Systems
Xiongwen Ke, Houying Zhu, Kai Yi +3
In this paper, we propose an efficient simulation method based on adaptive importance sampling, which can automatically find the optimal proposal within the Gaussian family based o…