Approximate Bayesian computation for finite mixture models
From MaRDI portal
Publication:5065237
DOI10.1080/00949655.2020.1843169OpenAlexW3097531913MaRDI QIDQ5065237
Jessi Cisewski-Kehe, Robert L. Wolpert, Umberto Simola
Publication date: 18 March 2022
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1803.10031
summary statisticsapproximate Bayesian computationfinite mixture modelslabel switchingperturbation kernels
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Asymptotic Behaviour of the Posterior Distribution in Overfitted Mixture Models
- A comparative review of dimension reduction methods in approximate Bayesian computation
- Sequential Monte Carlo with adaptive weights for approximate Bayesian computation
- Genotype copy number variations using Gaussian mixture models: theory and algorithms
- An adaptive sequential Monte Carlo method for approximate Bayesian computation
- Approximate Bayesian computational methods
- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- On characterizations of beta and gamma distributions
- Case-control studies with contaminated controls
- Adaptive approximate Bayesian computation tolerance selection
- Adaptive approximate Bayesian computation for complex models
- Bayesian binomial mixture models for estimating abundance in ecological monitoring studies
- A preferential attachment model for the stellar initial mass function
- Mixture models, latent variables and partitioned importance sampling
- Finite mixture and Markov switching models.
- Approximately Sufficient Statistics and Bayesian Computation
- Choosing the Summary Statistics and the Acceptance Rate in Approximate Bayesian Computation
- Density Estimation With Confidence Sets Exemplified by Superclusters and Voids in the Galaxies
- Adaptive approximate Bayesian computation
- Practical Bayesian Density Estimation Using Mixtures of Normals
- A serially correlated gamma frailty model for longitudinal count data
- Dealing With Label Switching in Mixture Models
- Perfect Samplers for Mixtures of Distributions
- Asymptotic Inference for Mixture Models by Using Data-Dependent Priors
- Approximate Bayesian Computation: A Nonparametric Perspective
- The Bayesian Choice
- Sequential Monte Carlo without likelihoods
- All of Nonparametric Statistics
- Table for Estimating the Goodness of Fit of Empirical Distributions