University of Washington / Social Sciences University of Washington Seattle / Ka Yee Yeung University of Washington Working Paper / /
IndustryTerm
likelihood algorithm / cellular networks / large network / sub-network / to other statistical network / large networks / cellular machinery / regulatory networks / easy way to simulate networks / no-cluster networks / /
Organization
University of Washington / Department of Microbiology / National Institute of Health / Social Sciences University of Washington Seattle / Ka Yee Yeung University of Washington Working Paper / Department of Statistics / Center for Statistics / /
Person
Yee Yeung / Adrian E. Raftery / Peter D. Ho / Pavel Krivitsky / Xiaoyue Niu / /
Position
Graduate Research Assistant / actor / Professor of Statistics / Research Assistant Professor / latent space model of Ho / Blumstein- Professor of Statistics / /
Fast Inference for the Latent Space Network Model Using a Case-Control Approximate Likelihood1 Adrian E. Raftery, Xiaoyue Niu, Peter D. Hoff and Ka Yee Yeung University of Washington Working Paper no. 101 Center for Sta