Adaptive tempered reversible jump algorithm for Bayesian curve fitting
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Publication:6557642
DOI10.1088/1361-6420/ad2cf7MaRDI QIDQ6557642
Anthony J. T. Lee, Shunhua Zhou, Zhiyao Tian
Publication date: 18 June 2024
Published in: Inverse Problems (Search for Journal in Brave)
Statistics (62-XX) Parametric inference (62Fxx) Probabilistic methods, stochastic differential equations (65Cxx)
Cites Work
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- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- On the ergodicity properties of some adaptive MCMC algorithms
- Optimal scaling for various Metropolis-Hastings algorithms.
- Bayesian analysis of generalized partially linear single-index models
- Adaptive spline fitting with particle swarm optimization
- Mitigation of railway-induced vibrations by using periodic wave impeding barriers
- Delayed rejection in reversible jump Metropolis-Hastings
- Bayesian curve-fitting with free-knot splines
- Efficient trans-dimensional Bayesian inversion for geoacoustic profile estimation
- A self-parametrizing partition model approach to tomographic inverse problems
- Advantages of consistent over lumped methods for analysis of beams on elastic foundations
- Automatic Bayesian Curve Fitting
- Joint gravity and magnetic inversion with trans-dimensional alpha shapes and autoregressive noise models
- Coupling and Ergodicity of Adaptive Markov Chain Monte Carlo Algorithms
- Transdimensional Markov Chains
- Non-Reversible Parallel Tempering: A Scalable Highly Parallel MCMC Scheme
- An adaptive Metropolis algorithm
- The Elements of Statistical Learning
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