We integrate large language models (LLMs) into various statistical models for epidemics so that spatial epidemics are better represented.
This is a paper as part of the reviewed proceedings of the ICML 2006 Workshop on Statistical Network Analysis, entitled 'Statistical Network Analysis: Models, Issues, and New Directions' published in the Lecture Notes in Computer Science Series. We …
This is a paper as part of the reviewed proceedings of the ICML 2006 Workshop on Statistical Network Analysis, entitled 'Statistical Network Analysis: Models, Issues, and New Directions' published in the Lecture Notes in Computer Science Series. …
The assessment of environmental risk and the evaluation of environmental policies increasingly require accurate and relevant information about the environment. For policy makers and stakeholders to evaluate possible policy changes, an understanding …
The primary objective of this paper is to describe some recent advances in the modeling of random graphs that have an impact on the representation of sexual and drug use networks. We also investigate issues related to the estimation of random graph …
The traditional best linear unbiased prediction procedure ('Kriging') is used in this paper for inference, but within a Bayesian framework. See Brown, Le and Zidek (1994) for an alternative Bayesian formulation. Our approach is to exam how posterior …