Bayesian approach to the inverse problem in a light scattering application
From MaRDI portal
Publication:5130219
DOI10.1080/02664763.2014.993370OpenAlexW2009465767MaRDI QIDQ5130219
Fernando A. Otero, Helcio R. B. Orlande, Gloria L. Frontini, Guillermo Enrique Eliçabe
Publication date: 4 November 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2014.993370
inverse problemBayesian estimationMetropolis-Hastingsparticle size distributionstatic light scattering
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Likelihood, Bayesian, and MCMC methods in quantitative genetics
- Bayesian regularization for normal mixture estimation and model-based clustering
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Statistical and computational inverse problems.
- The Selection of Prior Distributions by Formal Rules
- Statistical inversion and Monte Carlo sampling methods in electrical impedance tomography
- Bayesian Logical Data Analysis for the Physical Sciences
- Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference
- Iterative Methods for Total Variation Denoising
- Tuning parameter selectors for the smoothly clipped absolute deviation method
- Bayesian information criteria and smoothing parameter selection in radial basis function networks
- Iteratively adaptive regularization in inverse modeling with Bayesian outlook – application on geophysical data