Bayesian modeling and computation for analyte quantification in complex mixtures using Raman spectroscopy
From MaRDI portal
Publication:2008142
DOI10.1016/J.CSDA.2019.106846OpenAlexW2977719333WikidataQ127184445 ScholiaQ127184445MaRDI QIDQ2008142
Publication date: 22 November 2019
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1805.07688
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- A weakly informative default prior distribution for logistic and other regression models
- A practical guide to splines
- An introduction to MCMC for machine learning
- Transdimensional sequential Monte Carlo using variational Bayes -- SMCVB
- Bayesian model selection and model averaging
- Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
- Mixtures of g Priors for Bayesian Variable Selection
- Mixture Models With a Prior on the Number of Components
This page was built for publication: Bayesian modeling and computation for analyte quantification in complex mixtures using Raman spectroscopy