Statistics – Computation
Scientific paper
2009-10-31
Statistics and Computing 21 (2011) 475-481
Statistics
Computation
A number of changes after accounting for the referees' comments including new examples in Section 4 and more detailed explanat
Scientific paper
10.1007/s11222-010-9183-2
A fast new algorithm is proposed for numerical computation of (approximate) D-optimal designs. This "cocktail algorithm" extends the well-known vertex direction method (VDM; Fedorov 1972) and the multiplicative algorithm (Silvey, Titterington and Torsney, 1978), and shares their simplicity and monotonic convergence properties. Numerical examples show that the cocktail algorithm can lead to dramatically improved speed, sometimes by orders of magnitude, relative to either the multiplicative algorithm or the vertex exchange method (a variant of VDM). Key to the improved speed is a new nearest neighbor exchange strategy, which acts locally and complements the global effect of the multiplicative algorithm. Possible extensions to related problems such as nonparametric maximum likelihood estimation are mentioned.
No associations
LandOfFree
D-optimal designs via a cocktail algorithm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with D-optimal designs via a cocktail algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and D-optimal designs via a cocktail algorithm will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-290123