Work

New Upper Bounds for Maximum-Entropy Sampling

Year: 2001

Type: book-chapter

Abstract: We develop new upper bounds for the constrained maximum-entropy sampling problem. Our partition bounds are based on Fischer’s inequality. Further new bounds combine the use of Fischer’s inequality with previously developed bounds. We demonstrate this in detail by using partitioning to strengthen spectral bounds. Computations suggest that these bounds may be useful in finding optimal solutions by branch-and-bound.

Source: Contributions to statistics

DOI: 10.1007/978-3-642-57576-1_16

Authors: A. Hoffman, J. Lee, J. Williams

Language: English

Topic: Optimal Experimental Design Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W1620167609

FWCI: 5.473

Cites: 10

Cited by: 30

Related to: 10