Optimal Design of Experiments (Classics in Applied Mathematics) (Classics in Applied Mathematics, 50)

By F. Pukelsheim. 2006

110 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/41e156c0334c56dd50f0cb5aeafcb34883239793

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Mohammad Ghavamzadeh
2. Alessandro Lazaric
3. Carlos Riquelme
4. Bruno Scherrer
5. Sergey Levine
6. J. Urgen Schmidhuber
7. Romain Laroche
8. Nan Jiang

Citations in the corpus

• Active Learning for Accurate Estimation of Linear Models (2017, background): “…embedded in Rd and their mean is a linear combination with an unknown parameter, then the problem becomes an optimal experimental design problem (Pukelsheim, 2006), where the objective is to estimate the linear parameter and minimize the prediction error over all arms (see e.g., Wiens & Li…”