June 27, 2023. Our work "Structure recovery and trend estimation for dynamic network analysis" was published by Stat[paper link].
August 26, 2022. Our work "Highly scalable maximum likelihood and conjugate Bayesian inference for ERGMs on graph sets with equivalent vertices" was published by PLoS One[paper link].
July 19, 2022. I presented my work "Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations" at the 39th International Conference on Machine Learning in Baltimore, MD, USA.
January 14, 2022. Our work "Finite Mixtures of ERGMs for Modeling Ensembles of Networks" was published by Bayesian Analysis[paper link].
October 14, 2021. Our work "Bayesian Analysis of Static Light Scattering Data for
Globular Proteins" was published by PLoS One[paper link].
September 15, 2021. I gave a 30-min talk about recent developments in exponential-family random graph models at the 2021 ICSA Applied Statistics Symposium.
July 30, 2019. I gave a talk "Bayesian Inference for Exponential Random Graph Models via Kernel Bayes Rule" at the Joint Statistical Meetings in Denver, CO, USA.
June 20, 2019. I gave a talk "Approximate Bayesian Computation for ERGMs via Copula model" at the 39th Sunbelt Network Conference (INSNA) in Montreal, Quebec, Canada.
June 3, 2017. I presented a poster "Scalable ERGM Inference for organizational interaction and behavioral simulation data" at the 37th Sunbelt Network Conference (INSNA) in Beijing, China.
