Bayesian nonparametric forecasting of monotonic functional time series
DOI10.1214/16-EJS1190zbMath1357.62278arXiv1608.08056OpenAlexW3101948118MaRDI QIDQ502800
Matteo Ruggiero, Antonio Canale
Publication date: 11 January 2017
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1608.08056
predictionMonte CarloMarkov chaindependent processesDirichlet processinteracting particle systemapproximate Bayesian computationMoran modelPolya urn
Computational methods in Markov chains (60J22) Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric estimation (62G05) Bayesian inference (62F15) Monte Carlo methods (65C05) Interacting random processes; statistical mechanics type models; percolation theory (60K35)
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