@inproceedings{bd40a73e0f9f4b7c8c5060fc4c64f6fe,

title = "Sample average approximations for the continuous type principal-agent problem: An example",

abstract = "Principal-agent problems study contracts for goods or services that a principal (seller) should offer an agent (buyer). The goal is for the principal to optimize the quantity and price in the contract offered to an agent with uncertain demand, where the principal has estimated a distribution for the agent's demand. The agent's demand distribution can be discrete or continuous. A deterministic optimization solution to the discrete distribution problem delivers a contract with price and quantity options targeted towards each possible demand realization. When the demand distribution is continuous, the optimal contract becomes a continuous function of the demand space. This paper introduces a sample average approximation to the continuous distribution problem using methods for solving the discrete distribution problem. We explore using numerical results an example motivated by carbon capture and storage systems.",

author = "Singham, {Dashi I.} and Wenbo Cai",

note = "Funding Information: This work was partially supported by National Science Foundation grants CMMI-1535762 and CMMI-1535831. Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Winter Simulation Conference, WSC 2017 ; Conference date: 03-12-2017 Through 06-12-2017",

year = "2017",

month = jun,

day = "28",

doi = "10.1109/WSC.2017.8247935",

language = "English (US)",

series = "Proceedings - Winter Simulation Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2010--2020",

editor = "Victor Chan",

booktitle = "2017 Winter Simulation Conference, WSC 2017",

address = "United States",

}