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Improved estimation and prediction for computationally expensive ecological and paleoclimate models

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dc.contributor.authorTipton, John, author
dc.contributor.authorHooten, Mevin, advisor
dc.contributor.authorOpsomer, Jean, advisor
dc.contributor.authorHoeting, Jennifer, committee member
dc.contributor.authorAldridge, Cameron, committee member
dc.date.accessioned2016-07-12T23:03:16Z
dc.date.available2018-07-11T06:30:24Z
dc.date.issued2016
dc.description.abstractIn this dissertation, we present statistical methods to evaluate estimation and prediction performance for applied ecological problems. We explore a variety of applied problems and, within this context, we investigate how each method performs. We evaluate empirical performance of a model-based estimator of mean percent canopy cover using a representative United States Forest Service Forest Inventory and Analysis dataset. For two paleoclimate reconstructions, we develop novel modeling methodologies and evaluate model performance using both resampling and simulation methods. In each application, we use proper scoring rules while leveraging parallel computing and computational techniques, that allow fitting of complex models in a finite amount of time.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifier.urihttp://hdl.handle.net/10217/173373
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleImproved estimation and prediction for computationally expensive ecological and paleoclimate models
dc.typeText
dcterms.embargo.expires2018-07-11
dcterms.embargo.terms2018-07-11
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineStatistics
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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