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Found 4 papers, 2 papers with code
A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data
The use of high-dimensional data for targeted therapeutic interventions requires new ways to characterize the heterogeneity observed across subgroups of a specific population.
Methodology Applications
Genomic variety prediction via Bayesian nonparametrics
We consider the case where scientists have already conducted a pilot study to reveal some variants in a genome and are contemplating a follow-up study.
Nonparametric Bayesian multi-armed bandits for single cell experiment design
The problem of maximizing cell type discovery under budget constraints is a fundamental challenge for the collection and analysis of single-cell RNA-sequencing (scRNA-seq) data.
Applications
On consistent estimation of the missing mass
Given $n$ samples from a population of individuals belonging to different types with unknown proportions, how do we estimate the probability of discovering a new type at the $(n+1)$-th draw?
