A marginalized transition model with Markov dependence and category-specific changepoint specification is developed for detecting shifts in serially correlated categorical time series, demonstrated on Canadian cloud cover observations.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Changepoint Detection in Categorical Time Series with Application to Daily Total Cloud Cover in Canada
A marginalized transition model with Markov dependence and category-specific changepoint specification is developed for detecting shifts in serially correlated categorical time series, demonstrated on Canadian cloud cover observations.