A Geometric Variational Approach to Bayesian Inference
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Publication:5130625
DOI10.1080/01621459.2019.1585253zbMath1445.62076arXiv1707.09714OpenAlexW2963637370WikidataQ100517737 ScholiaQ100517737MaRDI QIDQ5130625
Sebastian Kurtek, Karthik Bharath, Abhijoy Saha
Publication date: 28 October 2020
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1707.09714
Bayesian density estimationsquare-root densityBayesian logistic regressiongradient ascent algorithminfinite-dimensional Riemannian optimization
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- A geometric approach to pairwise Bayesian alignment of functional data using importance sampling
- Approximation of certain multivariate integrals
- Adaptive Bayesian estimation using a Gaussian random field with inverse gamma bandwidth
- Laplace approximation for logistic Gaussian process density estimation and regression
- Variational approximations in Bayesian model selection for finite mixture distributions
- Diffeomorphic random sampling using optimal information transport
- Posterior consistency of logistic Gaussian process priors in density estimation
- Optimization Methods on Riemannian Manifolds and Their Application to Shape Space
- Rényi Divergence and Kullback-Leibler Divergence
- Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
- Diffeomorphic Density Matching by Optimal Information Transport
- Bayesian sensitivity analysis with the Fisher–Rao metric
- Functional Data Analysis with R and MATLAB
- Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods
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