Bayesian Nonparametric Calibration and Combination of Predictive Distributions
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Publication:4962434
DOI10.1080/01621459.2016.1273117zbMath1398.62060arXiv1502.07246OpenAlexW3122142519MaRDI QIDQ4962434
Roberto Casarin, Francesco Ravazzolo, Federico Bassetti
Publication date: 2 November 2018
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1502.07246
Bayesian nonparametricsforecast combinationposterior consistencydensity forecastforecast calibration
Inference from stochastic processes and prediction (62M20) Bayesian inference (62F15) Nonparametric inference (62G99)
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Cites Work
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- A Bayesian beta Markov random field calibration of the term structure of implied risk neutral densities
- Combining predictive distributions
- Beta-product dependent Pitman-Yor processes for Bayesian inference
- Slice sampling mixture models
- Bayesian semiparametric stochastic volatility modeling
- Stick-breaking autoregressive processes
- Optimal prediction pools
- On a class of Bayesian nonparametric estimates: I. Density estimates
- Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
- Korovkin-type approximation theory and its applications
- Bayesian model averaging: A tutorial. (with comments and a rejoinder).
- Semiparametric Bayes analysis of longitudinal data treatment models
- Bayesian nonparametrics
- Correction to: ``Kullback Leibler property of kernel mixture priors in Bayesian density estimation
- Generalised density forecast combinations
- Posterior consistency of Dirichlet mixtures for estimating a transition density
- Time-varying combinations of predictive densities using nonlinear filtering
- Bayesian regression with heteroscedastic error density and parametric mean function
- Determination of risk pricing measures from market prices of risk
- A Bayesian analysis of some nonparametric problems
- Bayesian model selection for beta autoregressive processes
- Bayesian dynamic density estimation
- Coherent Measures of Risk
- POSTERIOR CONSISTENCY IN CONDITIONAL DENSITY ESTIMATION BY COVARIATE DEPENDENT MIXTURES
- Present Position and Potential Developments: Some Personal Views: Statistical Theory: The Prequential Approach
- Sampling the Dirichlet Mixture Model with Slices
- Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models
- The Opinion Pool
- The Well-Calibrated Bayesian
- Combining Probability Forecasts
- Bayesian Estimation of the Spectral Density of a Time Series
- Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
- A Method for Combining Inference Across Related Nonparametric Bayesian Models
- Bayesian Density Estimation and Inference Using Mixtures
- Autoregressive Mixture Models for Dynamic Spatial Poisson Processes: Application to Tracking Intensity of Violent Crime
- Probabilistic Forecasts, Calibration and Sharpness
- Semiparametric Bayesian Inference in Autoregressive Panel Data Models
- Order-Based Dependent Dirichlet Processes
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