Develops and compares consistent estimators for gradual change points in nonparametric regression using a new optimization method targeting the largest minimization point of an objective function, with rates, regression estimation, bootstrap, and two-sample extensions.
On semi-continuity and continuity of the smallest and largest minimizing point of real convex functions with applications in probability and statistics
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.ST 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Analysis of gradual changes in nonparametric regression based on a new optimization method in the non-unique case
Develops and compares consistent estimators for gradual change points in nonparametric regression using a new optimization method targeting the largest minimization point of an objective function, with rates, regression estimation, bootstrap, and two-sample extensions.