Document Detail


Gaussian processes for time-series modelling.
MedLine Citation:
PMID:  23277607     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
In this paper, we offer a gentle introduction to Gaussian processes for time-series data analysis. The conceptual framework of Bayesian modelling for time-series data is discussed and the foundations of Bayesian non-parametric modelling presented for Gaussian processes. We discuss how domain knowledge influences design of the Gaussian process models and provide case examples to highlight the approaches.
Authors:
S Roberts; M Osborne; M Ebden; S Reece; N Gibson; S Aigrain
Related Documents :
24052197 - Prediction of antiprion activity of therapeutic agents with structure-activity models.
21257677 - An hiv/aids knowledge scale for adolescents: item response theory analyses based on dat...
15270707 - Evaluation of selected control strategies for fed-batch cultures of a hybridoma cell line.
20416637 - Consumers' preferences for iberian dry-cured ham and the influence of mast feeding: an ...
24052197 - Prediction of antiprion activity of therapeutic agents with structure-activity models.
21257677 - An hiv/aids knowledge scale for adolescents: item response theory analyses based on dat...
Publication Detail:
Type:  Journal Article     Date:  2012-12-31
Journal Detail:
Title:  Philosophical transactions. Series A, Mathematical, physical, and engineering sciences     Volume:  371     ISSN:  1364-503X     ISO Abbreviation:  Philos Trans A Math Phys Eng Sci     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-01-01     Completed Date:  2013-03-07     Revised Date:  2013-04-24    
Medline Journal Info:
Nlm Unique ID:  101133385     Medline TA:  Philos Trans A Math Phys Eng Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  20110550     Citation Subset:  -    
Affiliation:
Department of Engineering Science, University of Oxford, Oxford OX1 3PU, UK. sjrob@robots.ox.ac.uk
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Random time series in astronomy.
Next Document:  Modulated oscillations in many dimensions.