Multivariate density estimation for interval-censored data with application to a forest fire modelling problem

作者：Braun W J; Stafford J E^*

来源：Environmetrics, 2016, 27(6): 345-354.

DOI：10.1002/env.2396

• density estimation
• interval-censoring
• cross-validation
• EMS
• local likelihood
• Duff Moisture Code
• holdover

Local likelihood-based density estimation methods are developed for multivariate interval-censored data. An extension of the Nadaraya-Watson local regression estimator to the interval-censored data context arises in a natural way. The conditional density estimation scheme is used to study the holdover distribution of lightning-caused wildfire ignitions in Northern Ontario.

• 出版日期2016-9