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   Articles with "bayesian nonparametric" as a keyword



Bayesian nonparametric inference for the overlap coefficient: With an application to disease diagnosis

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9480

Abstract: Diagnostic tests play an important role in medical research and clinical practice. The ultimate goal of a diagnostic test is to distinguish between diseased and nondiseased individuals and before a test is routinely used in… read more here.

Keywords: bayesian nonparametric; overlap coefficient; coefficient; inference overlap ... See more keywords

A Bayesian nonparametric Markovian model for non-stationary time series

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recommendations! Published in 2017 at "Statistics and Computing"

DOI: 10.1007/s11222-016-9702-x

Abstract: Stationary time series models built from parametric distributions are, in general, limited in scope due to the assumptions imposed on the residual distribution and autoregression relationship. We present a modeling approach for univariate time series… read more here.

Keywords: bayesian nonparametric; time series; time; model ... See more keywords

Bayesian nonparametric vector autoregressive models

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recommendations! Published in 2018 at "Journal of Econometrics"

DOI: 10.1016/j.jeconom.2017.11.009

Abstract: Vector autoregressive (VAR) models are the main work-horse models for macroeconomic forecasting, and provide a framework for the analysis of complex dynamics that are present between macroeconomic variables. Whether a classical or a Bayesian approach… read more here.

Keywords: bayesian nonparametric; model; var models; vector autoregressive ... See more keywords

Bayesian nonparametric sparse VAR models

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recommendations! Published in 2019 at "Journal of Econometrics"

DOI: 10.1016/j.jeconom.2019.04.022

Abstract: High dimensional vector autoregressive (VAR) models require a large number of parameters to be estimated and may suffer of inferential problems. We propose a new Bayesian nonparametric (BNP) Lasso prior (BNP-Lasso) for high-dimensional VAR models… read more here.

Keywords: var models; bayesian nonparametric; var; bnp lasso ... See more keywords

Bayesian nonparametric latent class analysis with different item types.

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recommendations! Published in 2025 at "Psychological methods"

DOI: 10.1037/met0000728

Abstract: Latent class analysis (LCA) requires deciding on the number of classes. This is traditionally addressed by fitting several models with an increasing number of classes and determining the optimal one using model selection criteria. However,… read more here.

Keywords: number; number classes; class analysis; class ... See more keywords

A Bayesian nonparametric method for jointly clustering multiple spatial transcriptomic datasets and simultaneous gene selection

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-11693-5

Abstract: In spatial transcriptomics, many algorithms are available for clustering cells into groups based on gene expression and location, although not without limitations. Such limitations include having to know the number of clusters, limiting inference to… read more here.

Keywords: method; bayesian nonparametric; nonparametric method; spatial transcriptomic ... See more keywords

Bayesian nonparametric inference for heterogeneously mixing infectious disease models

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recommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"

DOI: 10.1073/pnas.2118425119

Abstract: Significance Mathematical models of infectious disease transmission continue to play a vital role in understanding, mitigating, and preventing outbreaks. The vast majority of epidemic models in the literature are parametric, meaning that they contain inherent… read more here.

Keywords: nonparametric inference; transmission; inference heterogeneously; infectious disease ... See more keywords

Bayesian Nonparametric Latent Class Analysis for Different Item Types

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recommendations! Published in 2023 at "Multivariate Behavioral Research"

DOI: 10.1080/00273171.2022.2160958

Abstract: Latent class analysis (LCA) is a popular statistical method used to group individuals into homogeneous subpopulations based on the responses to a set of variables. In the conventional LCA, the number of classes must be… read more here.

Keywords: bayesian nonparametric; dpmm; class; number classes ... See more keywords

Scalable Bayesian Nonparametric Clustering and Classification

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recommendations! Published in 2020 at "Journal of Computational and Graphical Statistics"

DOI: 10.1080/10618600.2019.1624366

Abstract: Abstract We develop a scalable multistep Monte Carlo algorithm for inference under a large class of nonparametric Bayesian models for clustering and classification. Each step is “embarrassingly parallel” and can be implemented using the same… read more here.

Keywords: bayesian nonparametric; nonparametric clustering; scalable bayesian; clustering classification ... See more keywords

A Bayesian nonparametric approach for multiple mediators with applications in mental health studies.

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recommendations! Published in 2024 at "Biostatistics"

DOI: 10.1093/biostatistics/kxad038

Abstract: Mediation analysis with contemporaneously observed multiple mediators is a significant area of causal inference. Recent approaches for multiple mediators are often based on parametric models and thus may suffer from model misspecification. Also, much of… read more here.

Keywords: mental health; nonparametric approach; multiple mediators; mediation ... See more keywords

Fusion of Hyperspectral and Multispectral Images Based on a Bayesian Nonparametric Approach

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recommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2019.2902847

Abstract: This paper presents a new approach to fusion of hyperspectral and multispectral images based on Bayesian nonparametric sparse representation. The approach formulates the image fusion problem within a constrained optimization framework, while assuming that the… read more here.

Keywords: fusion hyperspectral; hyperspectral multispectral; approach; bayesian nonparametric ... See more keywords