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A computational framework for solving nonlinear binary optimization problems in robust causal inference

Islam, Md Saiful; Morshed, Md Sarowar; Noor-E-Alam, Md - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 6, pp. 3023-3041

Persistent link: https://www.econbiz.de/10014326334

Estimation and inference by stochastic optimization : three examples

Forneron, Jean-Jacques; Ng, Serena - In: AEA papers and proceedings 111 (2021), pp. 626-630

Persistent link: https://www.econbiz.de/10012613968

Simple inference on functionals of set-identified parameters defined by linear moments

Cho, JoonHwan; Russell, Thomas M. - In: Journal of business & economic statistics : JBES ; a … 42 (2024) 2, pp. 563-578

Persistent link: https://www.econbiz.de/10015053428

A stochastic inexact sequential quadratic optimization algorithm for nonlinear equality-constrained optimization

Curtis, Frank E.; Robinson, Daniel P.; Zhou, Baoyu - In: INFORMS journal on optimization 6 (2024) 3/4, pp. 173-195

Persistent link: https://www.econbiz.de/10015191199

Projection-based inference with particle swarm optimization

Khalaf, Lynda; Lin, Zhenjiang - In: Journal of economic dynamics & control 128 (2021), pp. 1-15

Persistent link: https://www.econbiz.de/10012628243

On test sets for nonlinear integer maximization

Lee, Jon; Onn, Shmuel; Weismantel, Robert - In: Operations research letters 36 (2008) 4, pp. 439-443

Persistent link: https://www.econbiz.de/10003784973

Risk-based factorial probabilistic inference for optimization of flood control systems with correlated uncertainties

Wang, S.; Huang, Guo H. - In: European journal of operational research : EJOR 249 (2016) 1, pp. 258-269

Persistent link: https://www.econbiz.de/10011435832

An algorithm for two-stage stochastic mixed-integer nonlinear convex problems

Mijangos, Eugenio - 2015

Persistent link: https://www.econbiz.de/10011487057

Reliably computing nonlinear dynamic stochastic model solutions : an algorithm with error formulas

Anderson, Gary S. - 2018

This paper provides a new technique for representing discrete time nonlinear dynamic stochastic time invariant maps. Using this new series representation, the paper augments the usual solution strategy with an additional set of constraints thereby enhancing algorithm reliability. The paper also...

Persistent link: https://www.econbiz.de/10012016372

Optimization techniques for tree-structured nonlinear problems

Hübner, Jens; Schmidt, Martin; Steinbach, Marc C. - In: Computational management science 17 (2020) 3, pp. 409-436

Persistent link: https://www.econbiz.de/10012308606