10 citations · 13 across the 4 of their papers we have counts for
5 papers
Robust Surrogate-Based Bayesian Inference via Sampling-Based Adaptive Active Learning (SALE)
Dayi Li
Bayesian inference is difficult when likelihood evaluations are expensive and budgets are limited. We propose sampling-based adaptive active learning (SALE), a Gaussian-process (GP…
K-Contact Distance for Noisy Nonhomogeneous Spatial Point Data with application to Repeating Fast Radio Burst sources
A. M. Cook, Dayi Li, Gwendolyn M. Eadie +12
This paper introduces an approach to analyze nonhomogeneous Poisson processes (NHPP) observed with noise, focusing on previously unstudied second-order characteristics of the noisy…
Deep HST/UVIS imaging of the candidate dark galaxy CDG-1
Pieter van Dokkum, Dayi David Li, Roberto Abraham +4
CDG-1 is a tight grouping of four likely globular clusters in the Perseus cluster, and a candidate dark galaxy with little or no diffuse light. Here we provide new constraints on t…
Bayesian Optimization Sequential Surrogate (BOSS) Algorithm: Fast Bayesian Inference for a Broad Class of Bayesian Hierarchical Models
Dayi Li, Ziang Zhang
Approximate Bayesian inference based on Laplace approximation and quadrature methods have become increasingly popular for their efficiency at fitting latent Gaussian models (LGM),…
Light from the Darkness: Detecting Ultra-Diffuse Galaxies in the Perseus Cluster through Over-densities of Globular Clusters with a Log-Gaussian Cox Process
Dayi Li, Gwendolyn M. Eadie, Roberto G. Abraham +6
We introduce a new method for detecting ultra-diffuse galaxies by searching for over-densities in intergalactic globular cluster populations. Our approach is based on an applicatio…