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Generalised Procrustes problems

J. C. Gower and G. B. Dijksterhuis

in Procrustes Problems

Published in print:
2004
Published Online:
September 2007
ISBN:
9780198510581
eISBN:
9780191708961
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198510581.003.0009
Subject:
Mathematics, Probability / Statistics

This chapter is concerned with generalizations where the two sets of configurations X1 and X2 are replaced by K sets, X1 , X2 ... More


Optimization Under Unknown Constraints *

Robert B. Gramacy and Herbert K. H. Lee

in Bayesian Statistics 9

Published in print:
2011
Published Online:
January 2012
ISBN:
9780199694587
eISBN:
9780191731921
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199694587.003.0008
Subject:
Mathematics, Probability / Statistics

Optimization of complex functions, such as the output of computer simulators, is a difficult task that has received much attention in the literature. A less studied problem is that of optimization ... More


Introduction

Thomas A. Weber

in Optimal Control Theory with Applications in Economics

Published in print:
2011
Published Online:
August 2013
ISBN:
9780262015738
eISBN:
9780262298483
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262015738.003.0001
Subject:
Mathematics, Probability / Statistics

This chapter first sets out the book’s purpose, which is to introduce continuous-time systems and methods for solving dynamic optimization problems at three different levels: single-person decision ... More


Adaptive forecasting

Peter Grindrod CBE

in Mathematical Underpinnings of Analytics: Theory and Applications

Published in print:
2014
Published Online:
March 2015
ISBN:
9780198725091
eISBN:
9780191792526
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198725091.003.0007
Subject:
Mathematics, Analysis, Probability / Statistics

This chapter considers the problem of conditioning models and making forecasts as more and more information arrives, moving away from a subjective prior estimate for a model. It presents applications ... More


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