Parallel tempering strategies for model-based landmark detection on shapes
From MaRDI portal
Publication:5082903
DOI10.1080/03610918.2019.1670843OpenAlexW2978863544WikidataQ127178464 ScholiaQ127178464MaRDI QIDQ5082903
Sebastian Kurtek, Justin Strait, Oksana A. Chkrebtii
Publication date: 21 June 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2019.1670843
Related Items
Cites Work
- Unnamed Item
- State-dependent swap strategies and automatic reduction of number of temperatures in adaptive parallel tempering algorithm
- Functional and shape data analysis
- Bayesian registration of functions and curves
- Limit theorems for some adaptive MCMC algorithms with subgeometric kernels
- Towards optimal scaling of Metropolis-coupled Markov chain Monte Carlo
- Intrinsic Bayesian active contours for extraction of object boundaries in images
- Permutation tests. A practical guide to resampling methods for testing hypotheses
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Optimal scaling for various Metropolis-Hastings algorithms.
- Sequentially constrained Monte Carlo
- Statistical Shape Analysis, with Applications in R
- Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces
- Statistical Modeling of Curves Using Shapes and Related Features
- Equation of State Calculations by Fast Computing Machines
- An adaptive Metropolis algorithm