𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Spatial forecasting of residential urban fires: A Bayesian approach

✍ Scribed by David Rohde; Jonathan Corcoran; Prem Chhetri

Book ID
108101295
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
673 KB
Volume
34
Category
Article
ISSN
0198-9715

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A Bayesian approach to estimating benefi
A Bayesian approach to estimating benefits of improved forecasts
✍ Hauke L. Kite-Powell; Andrew R. Solow πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 359 KB

W e describe a Bayesian approach to estimating the economic benefits f r o m improved forecasts. The approach takes explicit account of how decision makers use forecast information, and can provide more reliable estimates of benefits than methods based on mitigated impacts. W e discuss some practica

A non-linear combination of experts' for
A non-linear combination of experts' forecasts: A Bayesian approach
✍ Luisa Tibiletti πŸ“‚ Article πŸ“… 1994 πŸ› John Wiley and Sons 🌐 English βš– 362 KB

## Abstract A general Bayesian approach to combining __n__ expert forecasts is developed. Under some moderate assumptions on the distributions of the expert errors, it leads to a consistent, monotonic, quasi‐linear average formula. This generalizes Bordley's results.

Spatial smoothing of cancer survival: a
Spatial smoothing of cancer survival: a Bayesian approach
✍ KΓ₯re Osnes; Odd O. Aalen πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 449 KB

A major aim of this paper is to propose and evaluate a method for describing the geographical variation in cancer survival. A fully hierarchical Bayesian approach (FB) which incorporates spatial autocorrelation of the hazard ratios is presented. The method was tried out on data sets of breast cancer