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ICERM Workshop: Bayesian NonparametricsMonth: September 2012 Date: September 17--21 Name: ICERM Workshop: Bayesian Nonparametrics Location: ICERM, Providence, Rhode Island. DescriptionData-rich investigations need advanced tools for allowing data to inform and interact with models. Bayesian Nonparametrics is a rapidly growing subfield of statistics and machine learning that provides a framework for creating complex statistical models that are both expressive and tractable. Recent successful applications of nonparametric Bayesian models across a variety of domains suggests that these models have the potential for wide use. The challenge of constructing and using models on very high-dimensional or even infinite-dimensional spaces creates many opportunities for fruitful interactions between mathematicians, statisticians, and computer scientists. Areas of interest include prior construction, posterior inference, posterior asymptotics, algorithmic development, and practical applications. Information |
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