Stick-breaking autoregressive processes

From MaRDI portal
Publication:737918

DOI10.1016/j.jeconom.2011.03.001zbMath1441.62709OpenAlexW2128981691MaRDI QIDQ737918

Jim E. Griffin, Mark F. J. Steel

Publication date: 12 August 2016

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jeconom.2011.03.001



Related Items

Dynamic density estimation with diffusive Dirichlet mixtures, Tractable Bayesian density regression via logit stick-breaking priors, Innovation, growth and aggregate volatility from a Bayesian nonparametric perspective, A Nonparametric Model for Stationary Time Series, Bayesian temporal density estimation with autoregressive species sampling models, Discussion of ``Nonparametric Bayesian inference in applications: Bayesian nonparametric methods in econometrics, Computational challenges and temporal dependence in Bayesian nonparametric models, On the inferential implications of decreasing weight structures in mixture models, A scalable Bayesian nonparametric model for large spatio-temporal data, A Bayesian nonparametric approach to modeling market share dynamics, Bayesian Nonparametric Panel Markov-Switching GARCH Models, Bayesian nonparametric mixture modeling for temporal dynamics of gender stereotypes, Predictive construction of priors in Bayesian nonparametrics, Beta-product dependent Pitman-Yor processes for Bayesian inference, Reinforced urn processes for credit risk models, Structural changes in large economic datasets: a nonparametric homogeneity test, Hierarchical species sampling models, A Time‐Series DDP for Functional Proteomics Profiles, Expert information and nonparametric Bayesian inference of rare events, Geometric stick-breaking processes for continuous-time Bayesian nonparametric modeling, The Ornstein-Uhlenbeck Dirichlet process and other time-varying processes for Bayesian nonparametric inference, Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California, Marginal likelihood for Markov-switching and change-point GARCH models, Estimating a semiparametric asymmetric stochastic volatility model with a Dirichlet process mixture, Bayesian semiparametric modeling of realized covariance matrices, Bayesian Nonparametric Calibration and Combination of Predictive Distributions, Predictive inference with Fleming-Viot-driven dependent Dirichlet processes, The dependent Dirichlet process and related models, Bayesian nonparametric sparse VAR models, Modeling Multiple Time-Varying Related Groups: A Dynamic Hierarchical Bayesian Approach With an Application to the Health and Retirement Study, A multivariate extension of a vector of two-parameter Poisson–Dirichlet processes, Efficient Bayesian inference in generalized inverse gamma processes for stochastic volatility



Cites Work