Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Bootstrap predictive inference for ARIMA processes - MaRDI portal

Bootstrap predictive inference for ARIMA processes

From MaRDI portal
Publication:4677024

DOI10.1111/j.1467-9892.2004.01713.xzbMath1062.62199OpenAlexW3125411422MaRDI QIDQ4677024

Lorenzo Pascual, Esther Ruiz Ortega, Juan J. Romo

Publication date: 20 May 2005

Published in: Journal of Time Series Analysis (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10016/4841




Related Items (33)

Integer-valued bilinear time series model with signed generalized power series thinning operatorPolarization of forecast densities: a new approach to time series classificationBootstrap prediction intervals for linear, nonlinear and nonparametric autoregressionsBootstrap prediction intervals for Markov processesA special integer-valued bilinear time series model with applicationsAn INAR(1) model based on the Pegram and thinning operators with serially dependent innovationParameter risk in time-series mortality forecastsInteger-valued bilinear model with dependent counting seriesPrediction intervals in the beta autoregressive moving average modelA flexible integer-valued AR(1) process: estimation, forecasting and modeling COVID-19 dataForecasting Levels in Loglinear Unit Root ModelsA flexible INAR(1) time series model with dependent zero-inflated count series and medical contagious casesBootstrap prediction intervals for autoregressive conditional duration modelsBootstrap Prediction Bands for Functional Time SeriesOn sieve bootstrap prediction intervals.A time series model based on dependent zero inflated counting seriesSieve bootstrap prediction intervalsBootstrap prediction in univariate volatility models with leverage effectDemand forecasting of individual probability density functions with machine learningA non-stationary integer-valued autoregressive modelComputationally efficient bootstrap prediction intervals for returns and volatilities in ARCH and GARCH processesBootstrap prediction for returns and volatilities in GARCH modelsPrediction Intervals for Time Series: A Modified Sieve Bootstrap ApproachForecasting time series with sieve bootstrapBias correction for time series factor modelsA justification of conditional confidence intervalsBootstrap prediction intervals in state-space modelsTime series clustering based on forecast densitiesBootstrapping Periodic State-Space ModelsStochastic nonlinear time series forecasting using time-delay reservoir computers: performance and universalityA bootstrap approach for generalized Autocontour testing Implications for VIX forecast densitiesA dependent counting INAR model with serially dependent innovationComments on: Model-free model-fitting and predictive distributions



Cites Work


This page was built for publication: Bootstrap predictive inference for ARIMA processes