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05/19/2023
Structured factorization for single-cell gene expression data
Single-cell gene expression data are often characterized by large matric...
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02/22/2023
Confounder-Dependent Bayesian Mixture Model: Characterizing Heterogeneity of Causal Effects in Air Pollution Epidemiology
Several epidemiological studies have provided evidence that long-term ex...
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12/13/2022
Accelerated structured matrix factorization
Matrix factorization exploits the idea that, in complex high-dimensional...
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05/03/2022
A hierarchical Bayesian non-asymptotic extreme value model for spatial data
Spatial maps of extreme precipitation are crucial in flood protection. W...
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04/14/2022
Numerical evaluation of dual norms via the MM algorithm
We deal with the problem of numerically computing the dual norm, which i...
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09/27/2021
Locally Sparse Function on function Regression
In functional data analysis, functional linear regression has attracted ...
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09/20/2021
Efficient posterior sampling for Bayesian Poisson regression
Poisson log-linear models are ubiquitous in many applications, and one o...
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08/04/2021
Semiparametric Functional Factor Models with Bayesian Rank Selection
Functional data are frequently accompanied by parametric templates that ...
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07/21/2021
Inner spike and slab Bayesian nonparametric models
Discrete Bayesian nonparametric models whose expectation is a convex lin...
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03/18/2021
Generalized infinite factorization models
Factorization models express a statistical object of interest in terms o...
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02/18/2021
Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data
Recent advancements in miniaturized fluorescence microscopy have made it...
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06/04/2020
Bayesian clustering of high-dimensional data
In many applications, it is of interest to cluster subjects based on ver...
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05/25/2020
Bayesian non-asymptotic extreme value models for environmental data
Motivated by the analysis of extreme rainfall data, we introduce a gener...
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01/16/2020
Multiscale stick-breaking mixture models
We introduce a family of multiscale stick-breaking mixture models for Ba...
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06/27/2019
A Simultaneous Transformation and Rounding Approach for Modeling Integer-Valued Data
We propose a simple yet powerful framework for modeling integer-valued d...
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06/27/2019
Simultaneous Transformation and Rounding (STAR) Models for Integer-Valued Data
We propose a simple yet powerful framework for modeling integer-valued d...
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06/19/2019
Importance conditional sampling for Bayesian nonparametric mixtures
Nonparametric mixture models based on the Pitman-Yor process represent a...
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01/29/2019