2 citations · 8 across the 6 of their papers we have counts for
6 papers
COVID-19 and Influenza Joint Forecasts Using Internet Search Information in the United States
Simin Ma, Shaoyang Ning, Shihao Yang
As COVID-19 pandemic progresses, severe flu seasons may happen alongside an increase in cases in cases and death of COVID-19, causing severe burdens on health care resources and pu…
Forecasting unemployment using Internet search data via PRISM
Dingdong Yi, Shaoyang Ning, Chia-Jung Chang +1
Big data generated from the Internet offer great potential for predictive analysis. Here we focus on using online users' Internet search data to forecast unemployment initial claim…
Use Internet Search Data to Accurately Track State-Level Influenza Epidemics
Shihao Yang, Shaoyang Ning, S. C. Kou
For epidemics control and prevention, timely insights of potential hot spots are invaluable. Alternative to traditional epidemic surveillance, which often lags behind real time by…
Clust-LDA: Joint Model for Text Mining and Author Group Inference
Shaoyang Ning, Xi Qu, Victor Cai +1
Social media corpora pose unique challenges and opportunities, including typically short document lengths and rich meta-data such as author characteristics and relationships. This…
Bayesian Hidden Markov Tree Models for Clustering Genes with Shared Evolutionary History
Yang Li, Shaoyang Ning, Sarah E. Calvo +2
Determination of functions for poorly characterized genes is crucial for understanding biological processes and studying human diseases. Functionally associated genes are often gai…
A Nonparametric Bayesian Approach to Copula Estimation
Shaoyang Ning, Neil Shephard
We propose a novel Dirichlet-based Pólya tree (D-P tree) prior on the copula and based on the D-P tree prior, a nonparametric Bayesian inference procedure. Through theoretical anal…