Past, present and future of software for Bayesian inference
From MaRDI portal
Publication:6540228
DOI10.1214/23-sts907MaRDI QIDQ6540228
Aki Vehtari, Alexandre Bouchard-Côté, Erik Štrumbelj, Andrew Gelman, Håvard Rue, Jukka Corander, Martyn Plummer, Henri Pesonen, Lawrence M. Murray
Publication date: 15 May 2024
Published in: Statistical Science (Search for Journal in Brave)
Cites Work
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- Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Bayesian Synthetic Likelihood
- The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
- Ensemble samplers with affine invariance
- Slice sampling. (With discussions and rejoinder)
- Bayesian computing with INLA: new features
- Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation
- The geometric foundations of Hamiltonian Monte Carlo
- Parallelized integrated nested Laplace approximations for fast Bayesian inference
- AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- ggplot2
- Direct Methods for Sparse Linear Systems
- Adaptive Rejection Sampling for Gibbs Sampling
- The frontier of simulation-based inference
- Bayesian Analysis of Binary and Polychotomous Response Data
- Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables
- Non-Reversible Parallel Tempering: A Scalable Highly Parallel MCMC Scheme
- Forecasting at Scale
- Symbolic and Quantitative Approaches to Reasoning with Uncertainty
- Bayesian auxiliary variable models for binary and multinomial regression
- A new avenue for Bayesian inference with INLA
- Spatial modeling with R-INLA: a review
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