On semi-continuity and continuity of the smallest and largest minimizing point of real convex functions with applications in probability and statistics
DOI10.1007/s40879-024-00728-2arXiv2306.08358WikidataQ128217195 ScholiaQ128217195MaRDI QIDQ6196270
Publication date: 14 March 2024
Published in: European Journal of Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2306.08358
order topologiesargmin theoremsdistributional convergence in topological spacesfunctional limit theorem for convex processes
Asymptotic distribution theory in statistics (62E20) Continuity and related questions (modulus of continuity, semicontinuity, discontinuities, etc.) for real functions in one variable (26A15) Convex functions and convex programs in convex geometry (52A41) Functional limit theorems; invariance principles (60F17)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Statistical decision theory. Estimation, testing, and selection.
- M-estimation for autoregression with infinite variance
- Weak convergence and empirical processes. With applications to statistics
- A note on generalized inverses
- Topology and measure
- Introduction to Topology
- A continuous mapping theorem for the argmin-set functional with applications to convex stochastic processes
- Foundations of Modern Probability
- Convex Analysis
- Convex functions and their applications. A contemporary approach
- Distributional hyperspace-convergence of Argmin-sets in convex 𝑀-estimation
This page was built for publication: On semi-continuity and continuity of the smallest and largest minimizing point of real convex functions with applications in probability and statistics