Robust optimization in spline regression models for multi-model regulatory networks under polyhedral uncertainty
In our study, we integrate the data uncertainty of real-world models into our regulatory
systems and robustify them. We newly introduce and analyse robust time-discrete target …
systems and robustify them. We newly introduce and analyse robust time-discrete target …
Robust mean-risk portfolio optimization using machine learning-based trade-off parameter
Conservatism is the notorious problem of the worst-case robust portfolio optimization, and
this issue has raised broad discussion in academia. To this end, we propose the hybrid …
this issue has raised broad discussion in academia. To this end, we propose the hybrid …
Robust VaR and CVaR optimization under joint ambiguity in distributions, means, and covariances
We develop robust models for optimization of the VaR (value at risk) and CVaR (conditional
value at risk) risk measures with a minimum expected return constraint under joint ambiguity …
value at risk) risk measures with a minimum expected return constraint under joint ambiguity …
[图书][B] Portfolio diversification
FS Lhabitant - 2017 - books.google.com
Portfolio Diversification provides an update on the practice of combining several risky
investments in a portfolio with the goal of reducing the portfolio's overall risk. In this book …
investments in a portfolio with the goal of reducing the portfolio's overall risk. In this book …
Robust contract designs: Linear contracts and moral hazard
We consider incentive compensation where the firm has ambiguity on the effort-contingent
output distribution: The parameters of the output probability distribution are in an ellipsoidal …
output distribution: The parameters of the output probability distribution are in an ellipsoidal …
Coarse woody debris management with ambiguous chance constrained robust optimization
F Härtl, T Knoke - Forests, 2019 - mdpi.com
Coarse woody debris (deadwood) serves as a dwelling space for many rare species, and is
therefore a most important factor to ensure diversity in forest ecosystems. However, wood …
therefore a most important factor to ensure diversity in forest ecosystems. However, wood …
The saddle point problem of polynomials
This paper studies the saddle point problem of polynomials. We give an algorithm for
computing saddle points. It is based on solving Lasserre's hierarchy of semidefinite …
computing saddle points. It is based on solving Lasserre's hierarchy of semidefinite …
Portfolio revision under mean-variance and mean-CVaR with transaction costs
AH Chen, FJ Fabozzi, D Huang - Review of Quantitative Finance and …, 2012 - Springer
The portfolio revision process usually begins with a portfolio of assets rather than cash. As a
result, some assets must be liquidated to permit investment in other assets, incurring …
result, some assets must be liquidated to permit investment in other assets, incurring …
CVaR Robust Mean‐CVaR Portfolio Optimization
M Salahi, F Mehrdoust, F Piri - International Scholarly Research …, 2013 - Wiley Online Library
One of the most important problems faced by every investor is asset allocation. An investor
during making investment decisions has to search for equilibrium between risk and returns …
during making investment decisions has to search for equilibrium between risk and returns …
[PDF][PDF] 基于鲁棒均值–方差优化的发电自调度算法及鲁棒代价分析
丁涛, 柏瑞, 孙宏斌, 黄灿, 李方兴 - 中国电机工程学报, 2015 - eecs.utk.edu
基于鲁棒均值–方差优化的发电自调度算法及鲁棒代价分析 Page 1 第35 卷第2 期 中国电机
工程学报 Vol.35 No.2 Jan.20, 2015 2015 年1 月20 日 Proceedings of the CSEE ©2015 Chin.Soc.for …
工程学报 Vol.35 No.2 Jan.20, 2015 2015 年1 月20 日 Proceedings of the CSEE ©2015 Chin.Soc.for …