{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:25:13Z","timestamp":1740115513125,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"abstract":"<jats:p>A sieve bootstrap scheme, the neural network sieve bootstrap, for nonlinear time series is discussed. The approach, which is non parametric in its spirit, does not have the problems of other nonparametric bootstrap techniques. The procedure is used to construct prediction intervals and it takes into account the uncertainty associated with the estimation of the model parameters. An application to real data sets is also presented.<\/jats:p>","DOI":"10.3233\/978-1-58603-984-4-205","type":"book-chapter","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:06:08Z","timestamp":1740053168000},"source":"Crossref","is-referenced-by-count":0,"title":["Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence"],"prefix":"10.3233","author":[{"family":"Giordano Francesco","sequence":"additional","affiliation":[]},{"family":"La Rocca Michele","sequence":"additional","affiliation":[]},{"family":"Perna Cira","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","New Directions in Neural Networks"],"original-title":[],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:27:57Z","timestamp":1740054477000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0922-6389&volume=193&spage=205"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-58603-984-4-205","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2009]]}}}