David Dunson is a name that could refer to different individuals, depending on the context. One notable figure is David Dunson, a professor of statistical science known for his work in Bayesian statistics and data analysis. He has contributed significantly to various fields, including biostatistics and machine learning.
Articles by others on the same topic
David Dunson develops Bayesian inference and statistical machine learning for complex data. His research seeks lower-dimensional structure in observations such as networks, functions and biological measurements, with applications in ecology, neuroscience and environmental health.[ref]
A model may represent many dependent measurements through a smaller set of latent quantities, then carry uncertainty about those quantities into predictions. Dunson's work couples flexible modelling with algorithms for Bayesian inference and uncertainty quantification. He is also a coauthor of Bayesian Data Analysis by Andrew Gelman and others.[ref]
Bayesian Data Analysis by Andrew Gelman and others. Verified third-edition coauthor list