5 papers
Changepoint Detection As Model Selection: A General Framework
Michael Grantham, Xueheng Shi, Bertrand Clarke
This dissertation presents a general framework for changepoint detection based on L0 model selection. The core method, Iteratively Reweighted Fused Lasso (IRFL), improves upon the…
Genetic Algorithms in Regression
Mo Li, QiQi Lu, Robert Lund +1
Many statistical problems involve optimization over a discrete parameter space having an unknown dimension. In such settings, gradient-based methods often fail due to the non-diffe…
The Asymptotic Distribution for a Single Joinpoint Changepoint Model
Xueheng Shi, Robert Lund
A single joinpoint changepoint model partitions a time series into two segments, joined at the changepoint time by constraining the estimated piecewise linear regression responses…
Single Changepoint Procedures
Robert Lund, Xueheng Shi
Single changepoint tests have become a staple check for homogeneity of a climate time series, suggesting how climate has changed should non-homogeneity be declared. This paper summ…
Is a Recent Surge in Global Warming Detectable?
Claudie Beaulieu, Colin Gallagher, Rebecca Killick +2
The global mean surface temperature is widely studied to monitor climate change. A current debate centers around whether there has been a recent (post-1970s) surge/acceleration in…