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MIXING IT UP: NEW METHODS FOR FINITE MIXTURE MODELLING OF MULTI-SPECIES DATA IN ECOLOGY

Part of: Applications Parametric inference Multivariate analysis

Published online by Cambridge University Press:  12 November 2015

FRANCIS K. C. HUI
FRANCIS K. C. HUI*
Affiliation:
School of Mathematics and Statistics, Faculty of Science, CSIRO Digital Productivity Flagship, University of New South Wales, Sydney, NSW 2052, Australia email [email protected]
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Abstract

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Keywords

statisticsparametric inferencemultivariate analysis

MSC classification

Primary: 62P12: Applications to environmental and related topics
Secondary: 62F07: Ranking and selection 62H86: Multivariate analysis and fuzziness
Type
Abstracts of Australasian PhD Theses
Information
Bulletin of the Australian Mathematical Society , Volume 93 , Issue 1 , February 2016 , pp. 167 - 168
Copyright
© 2015 Australian Mathematical Publishing Association Inc. 

References

Hui, F. K. C., Taskinen, S., Pledger, S., Foster, S. D. and Warton, D. I., ‘Model-based approaches to unconstrained ordination’, Methods Ecol. Evol. 6 (2015), 399–411.CrossRefGoogle Scholar
Hui, F. K. C., Warton, D. I. and Foster, S. D., ‘Tuning parameter selection for the adaptive lasso using ERIC’, J. Amer. Statist. Assoc. 110 (2015), 262–269.CrossRefGoogle Scholar
Hui, F. K. C., Warton, D. I. and Foster, S. D., ‘Order selection in finite mixture models: complete or observed likelihood information criteria?’, Biometrika (2015), doi:10.1093/biomet/asv027.CrossRefGoogle Scholar
Hui, F. K. C., Warton, D. I. and Foster, S. D., ‘Multi-species distribution modeling using penalized mixture of regressions’, Ann. Appl. Stat. 9(2) (2015), 866–882.CrossRefGoogle Scholar
Hui, F. K. C., Warton, D. I., Foster, S. D. and Dunstan, P. K., ‘To mix or not to mix: comparing the predictive performance of mixture models versus separate species distribution models’, Ecology 94 (2013), 1913–1919.CrossRefGoogle ScholarPubMed