Modeling Stochastic Processes

Daniel P. Loucks ()
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Daniel P. Loucks: Cornell University

Chapter Chapter 13 in Public Systems Modeling, 2022, pp 163-176 from Springer

Abstract: Abstract Many public systems must deal with uncertain inputs over time. This chapter illustrates how models incorporating uncertain inputs over time can be developed and solved. Stochastic linear and dynamic programming models are developed to show the difference in output that define optimal sequential conditional decision making strategies.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-030-93986-1_13

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DOI: 10.1007/978-3-030-93986-1_13

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