Bayesian nonparametric inference for the overlap coefficient: With an application to disease diagnosis
Sign Up to like & getrecommendations! 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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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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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 inference for heterogeneously mixing infectious disease models
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
Fusion of Hyperspectral and Multispectral Images Based on a Bayesian Nonparametric Approach
Sign Up to like & getrecommendations! 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
Online Estimation of Radar Emitter Cardinality via Bayesian Nonparametric Clustering
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2021.3103582
Abstract: We present an online method to estimate the number of radar emitters from sequential batches of detected pulses. To do this, we employ a recently developed Bayesian nonparametric clustering method that automatically infers the number… read more here.
Keywords: cardinality; radar; nonparametric clustering; number ... See more keywords
Bayesian nonparametric generative models for causal inference with missing at random covariates.
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DOI: 10.1111/biom.12875
Abstract: We propose a general Bayesian nonparametric (BNP) approach to causal inference in the point treatment setting. The joint distribution of the observed data (outcome, treatment, and confounders) is modeled using an enriched Dirichlet process. The… read more here.
Keywords: bayesian nonparametric; causal inference; nonparametric generative; model ... See more keywords
Bayesian nonparametric adjustment of confounding.
Sign Up to like & getrecommendations! Published in 2022 at "Biometrics"
DOI: 10.1111/biom.13833
Abstract: Analysis of observational studies increasingly confronts the challenge of determining which of a possibly high-dimensional set of available covariates are required to satisfy the assumption of ignorable treatment assignment for estimation of causal effects. We… read more here.
Keywords: bayesian nonparametric; nonparametric adjustment; adjustment confounding; causal ... See more keywords