Cross-fitting with out-of-sample loss evaluations enables consistent changepoint estimation in complex models by decoupling model fitting from the search process.
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Introduces veracity-score-based estimators for spatial regression parameters that are consistent under non-stationary noise and asymptotically more efficient than OLS.
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Changepoint Detection in Complex Models: Cross-Fitting Is Needed
Cross-fitting with out-of-sample loss evaluations enables consistent changepoint estimation in complex models by decoupling model fitting from the search process.
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On Statistical Properties of A Veracity Scoring Method for Spatial Data
Introduces veracity-score-based estimators for spatial regression parameters that are consistent under non-stationary noise and asymptotically more efficient than OLS.