Bayesian nonparametric classification for spectroscopy data

DOI10.1016/j.csda.2014.04.010zbMath1506.62073OpenAlexW2008234195WikidataQ58228970 ScholiaQ58228970MaRDI QIDQ1623622

Eduardo Gutiérrez-Peña, Luis Gutiérrez, Ramsés H. Mena

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2014.04.010

zbMATH Keywords

discriminant analysisGaussian processfood authenticationgeometric weights prior

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (7)

A mean-constrained finite mixture of normals model ⋮ On the inferential implications of decreasing weight structures in mixture models ⋮ Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data ⋮ Variational nonparametric discriminant analysis ⋮ A two-stage Bayesian semiparametric model for novelty detection with robust prior information ⋮ Scalable Bayesian Nonparametric Clustering and Classification ⋮ Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process

Uses Software

• R
• WinBUGS
• ElemStatLearn

Cites Work

• Unnamed Item
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• Geometric stick-breaking processes for continuous-time Bayesian nonparametric modeling
• On a class of Bayesian nonparametric estimates: I. Density estimates
• Multivariate Bayesian semiparametric models for authentication of food and beverages
• Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications
• Aspects of smoothing and model inadequacy in generalized regression
• Bayesian multiple response kernel regression model for high dimensional data and its practical applications in near infrared spectroscopy
• Robust smoothing: smoothing parameter selection and applications to fluorescence spectroscopy
• A Bayesian analysis of some nonparametric problems
• Developing a Discrimination Rule between Breast Cancer Patients and Controls Using Proteomics Mass Spectrometric Data: A Three-Step Approach
• Principal Component Discriminant Analysis
• Classification of Breast Cancer versus Normal Samples from Mass Spectrometry Profiles Using Linear Discriminant Analysis of Important Features Selected by Random Forest
• A Classification Model for the Leiden Proteomics Competition
• Bayesian wavelet-based curve classification via discriminant analysis with Markov random tree priors
• A New Bayesian Nonparametric Mixture Model
• A model-based approach to Bayesian classification with applications to predicting pregnancy outcomes from longitudinal  -hCG profiles
• A Bayesian approach to model inadequacy for polynomial regression
• Discrimination with Many Variables
• Multivariate Bayesian discrimination for varietal authentication of Chilean red wine
• Bayesian Mixture Labeling by Highest Posterior Density
• Efficient Gaussian process regression for large datasets
• Variable Selection for Model-Based Clustering
• Using Unlabelled Data to Update Classification Rules with Applications in Food Authenticity Studies
• Semiparametric Bayesian Classification with longitudinal Markers
• The elements of statistical learning. Data mining, inference, and prediction

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