Results 111 to 120 of about 10,242 (124)

Statistical Properties of Robust Satisficing

International Conference on Machine Learning
The Robust Satisficing (RS) model is an emerging approach to robust optimization, offering streamlined procedures and robust generalization across various applications. However, the statistical theory of RS remains unexplored in the literature.
Zhiyi Li, Yunbei Xu, Ruohan Zhan
semanticscholar   +1 more source

Statistical decision theory for mobile robotics: theory and application

1996 IEEE/SICE/RSJ International Conference on Multisensor Fusion and Integration for Intelligent Systems (Cat. No.96TH8242), 1996
G. Kamberova, R. Mandelbaum, M. Mintz
semanticscholar   +1 more source

Asymptotic Methods In Statistical Decision Theory

, 1986
L. Cam
semanticscholar   +1 more source

Multiple Statistical Decision Theory: Recent Developments

, 1981
S. Gupta, Deng-Yuan Huang
semanticscholar   +1 more source

Minimax Measurements in a General Statistical Decision Theory

, 1982
N. Bogomolov
semanticscholar   +1 more source

Bayes’ Criterion, the Minimax Principle and Statistical Decision Theory

, 1986
H. M. Fisunoglu
semanticscholar   +1 more source

Constrained and localized forms of statistical minimax theory

, 2016
Yuancheng Zhu
semanticscholar   +1 more source

Statistical decision theory and related topics IV

, 1988
S. Gupta, J. Berger
semanticscholar   +1 more source

Statistical Decision Theory Techniques for the Revision of Mean Flood Flow Regression Estimates

, 1970
R. Shane, D. Gaver
semanticscholar   +1 more source

Statistical Decision Theory

, 2004
L. Wasserman
semanticscholar   +1 more source