A Bayesian approach to wavelet-based modelling of discontinuous functions applied to inverse problems
From MaRDI portal
Publication:5087931
DOI10.1080/03610918.2018.1484473OpenAlexW2803892863WikidataQ61821520 ScholiaQ61821520MaRDI QIDQ5087931
Hassan M. Aljohani, Robert G. Aykroyd
Publication date: 4 July 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: http://eprints.whiterose.ac.uk/130812/1/Aykroyd%2BAljohani.pdf
Markov chain Monte CarloHaar waveletsparsityLaplace distributionhierarchical modelselastic-netarchaeological stratigraphy
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A short history of Markov chain Monte Carlo: Subjective recollections from incomplete data
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Nonlinear solution of linear inverse problems by wavelet-vaguelette decomposition
- On information pooling, adaptability and superefficiency in nonparametric function estimation
- Empirical Bayes selection of wavelet thresholds
- Inverse problems: A Bayesian perspective
- Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
- Handbook of Markov Chain Monte Carlo
- Orthonormal bases of compactly supported wavelets
- Wavelet decomposition approaches to statistical inverse problems
- Empirical Bayes Estimation for Archaeological Stratigraphy
- Ideal spatial adaptation by wavelet shrinkage
- Wavelets in statistics: beyond the standard assumptions
- Bayesian Methods Applied to Survey Data From Archeological Magnetometry
- Equation of State Calculations by Fast Computing Machines
- Monte Carlo sampling methods using Markov chains and their applications
- Monte Carlo strategies in scientific computing
This page was built for publication: A Bayesian approach to wavelet-based modelling of discontinuous functions applied to inverse problems
