6533b860fe1ef96bd12c3552
RESEARCH PRODUCT
Weighted-average least squares (WALS): A survey
Magnus JrGiuseppe De Lucasubject
Model averaging Least squares Frequentist versus Bayesian Priors Computing timedescription
Model averaging has become a popular method of estimation, following increasing evidence that model selection and estimation should be treated as one joint procedure. Weighted-average least squares (WALS) is a recent model-average approach, which takes an intermediate position between frequentist and Bayesian methods, allows a credible treatment of ignorance, and is extremely fast to compute. We review the theory of WALS and discuss extensions and applications.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-01-01 |