David E. A. Giles is affiliated with the University of Victoria in Canada. Their research principally focuses on the field of Mathematics, with significant contributions in Statistics and Probability. The scientist has also worked in subfields including Artificial Intelligence, General Economics, Econometrics and Finance, Management Science and Operations Research, and Economics and Econometrics.
Key topics addressed in their work include Statistical Distribution Estimation and Applications, Statistical Methods and Bayesian Inference, Advanced Statistical Methods and Models, and Bayesian Methods and Mixture Models. Additional areas of study encompass Monetary Policy and Economic Impact, Efficiency Analysis Using DEA, and Fiscal Policy and Economic Growth.
Recent publications authored by David E. A. Giles comprise:
The scientist's work appears predominantly in the Journal of Quantitative Economics, alongside publications in Preprints.org, Goldschmidt Abstracts, WSEAS Transactions on Mathematics, and Journal of Modern Applied Statistical Methods.
Frequent coauthors collaborating with David E. A. Giles include:
Eric R. Ziegel;Aman Ullah;David E. A. Giles
V. K. Srivastava;D. E. A. Giles
David E. A. Giles
David E. A. Giles
Dale J. Poirier
Yanan Li;David E. Giles
David E. A. Giles;Lindsay M. Tedds
David E. A. Giles;Lindsay M. Tedds;Gugsa Werkneh
David E. A. Giles
David E. Giles
Judith A. Giles;David E. A. Giles
David E. A. Giles
David E. A. Giles;Judith A. Giles;Ewen McCann
David E. A. Giles
Unknown
David E. A. Giles
David E. Giles
M.L. King;D.E.A. Giles
David E. Giles;Hui Feng;Ryan T. Godwin
David E. Giles;Ryan T. Godwin
David E. A. Giles
Aman Ullah;David E. A. Giles
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