activity
20162020
most citedBayesian Nonparametric Nonhomogeneous Poisson Process with Applications to USGS Earthquake Data

8 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2020

Mixture of Finite Mixtures Model for Basket Trial

Junxian Geng, Tianjian Zhou, Ruitao Lin +1

With the recent paradigm shift from cytotoxic drugs to new generation of target therapy and immuno-oncology therapy during oncology drug developments, patients with various cancer…

stat.AP2020★ 1 cited

Heterogeneity Learning for SIRS model: an Application to the COVID-19

Guanyu Hu, Junxian Geng

We propose a Bayesian Heterogeneity Learning approach for Susceptible-Infected-Removal-Susceptible (SIRS) model that allows underlying clustering patterns for transmission rate, re…

stat.AP2020★ 2 cited

Bayesian Spatial Homogeneity Pursuit of Functional Data: an Application to the U.S. Income Distribution

Guanyu Hu, Junxian Geng, Yishu Xue +1

An income distribution describes how an entity's total wealth is distributed amongst its population. A problem of interest to regional economics researchers is to understand the sp…

stat.ME2019★ 8 cited

Bayesian Nonparametric Nonhomogeneous Poisson Process with Applications to USGS Earthquake Data

Junxian Geng, Wei Shi, Guanyu Hu

Intensity estimation is a common problem in statistical analysis of spatial point pattern data. This paper proposes a nonparametric Bayesian method for estimating the spatial point…

stat.ME2016★ 5 cited

Probabilistic community detection with unknown number of communities

Junxian Geng, Anirban Bhattacharya, Debdeep Pati

A fundamental problem in network analysis is clustering the nodes into groups which share a similar connectivity pattern. Existing algorithms for community detection assume the kno…