A divide-and-conquer sequential Monte Carlo sampler is proposed for chained Markov melding to enable sampling from tree-structured joint models with an arbitrary number of submodels.
Journal of Applied Ecology , volume =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A Fire Event Tracker (FET) algorithm performs spatio-temporal clustering on MTG-FCI active fire detections to enable consistent near-real-time and retrospective fire event monitoring.
citing papers explorer
-
Chained Markov melding using divide and conquer sequential Monte Carlo
A divide-and-conquer sequential Monte Carlo sampler is proposed for chained Markov melding to enable sampling from tree-structured joint models with an arbitrary number of submodels.
-
Leveraging MTG-FCI fire observations for event-based fire behavior monitoring from near-real-time operation to seasonal analysis
A Fire Event Tracker (FET) algorithm performs spatio-temporal clustering on MTG-FCI active fire detections to enable consistent near-real-time and retrospective fire event monitoring.