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Found 4 papers, 3 papers with code
Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data
Recent advancements in miniaturized fluorescence microscopy have made it possible to investigate neuronal responses to external stimuli in awake behaving animals through the analysis of intra-cellular calcium signals.
Time Series Analysis
Applications
A Bayesian Nonparametric model for textural pattern heterogeneity
Cancer radiomics is an emerging discipline promising to elucidate lesion phenotypes and tumor heterogeneity through patterns of enhancement, texture, morphology, and shape.
Applications
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
Generalized Species Sampling Priors with Latent Beta reinforcements
We evaluate the performance of the prior and the robustness of the resulting inference in a simulation study, providing a comparison with popular Dirichlet Processes mixtures and Hidden Markov Models.
