19 citations · 28 across the 4 of their papers we have counts for
4 papers
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…
A Bayesian spatial temporal mixtures approach to kinetic parametric images in dynamic Positron Emission Tomography
Wanchuang Zhu, Jinsong Ouyang, Yothin Rakvongthai +5
We present a fully Bayesian statistical approach to the problem of compartmental modelling in the context of Positron Emission Tomography. We cluster homogeneous region of interest…
Adaptive Optimal Scaling of Metropolis-Hastings Algorithms Using the Robbins-Monro Process
P. H. Garthwaite, Y. Fan, S. A. Sisson
We present an adaptive method for the automatic scaling of Random-Walk Metropolis-Hastings algorithms, which quickly and robustly identifies the scaling factor that yields a specif…
Generalised linear mixed model analysis via sequential Monte Carlo sampling
Y. Fan, D. S. Leslie, M. P. Wand
We present a sequential Monte Carlo sampler algorithm for the Bayesian analysis of generalised linear mixed models (GLMMs). These models support a variety of interesting regression…