Explaining return times for wildfires
DOI10.1080/15598608.2013.821047zbMath1425.62146OpenAlexW2132528381WikidataQ117712611 ScholiaQ117712611MaRDI QIDQ2320926
Alan E. Gelfand, Joao V. D. Monteiro
Publication date: 27 August 2019
Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/15598608.2013.821047
hierarchical modelMarkov-chain Monte CarloCAR modelsurvival modelprobit linktime-to-event modelconditionally autoregressive (CAR) modeling
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40) Estimation in survival analysis and censored data (62N02)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On the Precision of the Conditionally Autoregressive Prior in Spatial Models
- Bayesian Measures of Model Complexity and Fit
- Bayesian Analysis of Binary and Polychotomous Response Data
- Analyzing first flowering event data using survival models with space and time‐varying covariates
This page was built for publication: Explaining return times for wildfires