entropy.wts: Entropy of the rescaled weights relative to uniformity.

In milokmilo/strandCet: Estimation of Biological Parameters from Stranded Cetaceans

Entropy of the rescaled weights relative to uniformity.

Description

Performance measure for the IMIS algorithm that calculates the entropy of the importance weights relative to uniformity.

Usage

entropy.wts(w)

Arguments

w	A vector of importance weights corresponding to each row of the mixture of the prior and multivariate gaussian draws.

Value

Vector of entropy values relative to uniformity for a vector of weights.

Note

For use in the function final.resamp.

References

Raftery, A. and Bao, L. (2009). Estimating and Projecting Trends in HIV/AIDS Generalized Epidemics Using Incremental Mixture Importance Sampling. Technical Report 560, Department of Statistics, University of Washington.

Poole, D. and Raftery, A. (2000). Inference for Deterministic Simulation Models: The Bayesian Melding Approach. Journal of the American Statistical Association 95:1244–1255.

Sharrow, D.J., Clark, S.J., Collinson, M.A., Kahn, K. and Tollman, S.M. (2013). The Age Pattern of Increases in Mortality Affected by HIV: Bayesian Fit of the Heligman-Pollard Model to Data from the Agincourt HDSS Field Site in Rural Northeast South Africa. Demogr. Res. 29, 1039–1096.

See Also

final.resamp

milokmilo/strandCet documentation built on July 11, 2022, 5:57 a.m.