290 citations · 807 across the 60 of their papers we have counts for
5 papers · 1 filter
Bayesian Image-on-Scalar Regression with a Spatial Global-Local Spike-and-Slab Prior
Zijian Zeng, Meng Li, Marina Vannucci
In this article, we propose a novel spatial global-local spike-and-slab selection prior for image-on-scalar regression. We consider a Bayesian hierarchical Gaussian process model f…
Semiparametric Bayesian Inference for Local Extrema of Functions in the Presence of Noise
Meng Li, Zejian Liu, Cheng-Han Yu +1
There is a wide range of applications where the local extrema of a function are the key quantity of interest. However, there is surprisingly little work on methods to infer local e…
Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis
Cheng-Han Yu, Meng Li, Colin Noe +2
Stationary points embedded in the derivatives are often critical for a model to be interpretable and may be considered as key features of interest in many applications. We propose…
Double spike Dirichlet priors for structured weighting
Huiming Lin, Meng Li
Assigning weights to a large pool of objects is a fundamental task in a wide variety of applications. In this article, we introduce the concept of structured high-dimensional proba…
Functional Group Bridge for Simultaneous Regression and Support Estimation
Zhengjia Wang, John Magnotti, Michael S. Beauchamp +1
This article is motivated by studying multisensory effects on brain activities in intracranial electroencephalography (iEEG) experiments. Differential brain activities to multisens…