3 citations · 6 across the 11 of their papers we have counts for
10 papers
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…
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…
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…
Changepoint Methods in Climatology
Robert B. Lund, Xueheng Shi
Changepoint methods have multiple uses in climatology, including stationary checks and record homogenization. There are still many open problems in the area, especially in the mult…
Good Practices and Common Pitfalls in Climate Time Series Changepoint Techniques: A Review
Robert B. Lund, Claudie Beaulieu, Rebecca Killick +2
Climate changepoint (homogenization) methods abound today, with a myriad of techniques existing in both the climate and statistics literature. Unfortunately, the appropriate change…