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Stochastic dominance efficiency tests under diversification

Kuosmanen, Timo - 2001

Persistent link: https://www.econbiz.de/10001584125

A more efficient algorithm for Convex Nonparametric Least Squares

Lee, Chia-yen; Johnson, Andrew L.; Moreno-Centeno, Erick; … - In: European journal of operational research : EJOR 227 (2013) 2, pp. 391-400

Persistent link: https://www.econbiz.de/10009725603

Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions

Podinovski, Victor V.; Kuosmanen, Timo - In: European journal of operational research : EJOR 211 (2011) 3, pp. 577-585

Persistent link: https://www.econbiz.de/10008933371

Theory of integer-valued data envelopment analysis under alternative returns to scale axioms

Kazemi Matin, Reza; Kuosmanen, Timo - In: Omega : the international journal of management science 37 (2009) 5, pp. 988-995

Persistent link: https://www.econbiz.de/10003861972

Computing synthetic controls using bilevel optimization

Malo, Pekka; Eskelinen, Juha; Zhou, Xun; Kuosmanen, Timo - In: Computational economics 64 (2024) 2, pp. 1113-1136

Persistent link: https://www.econbiz.de/10015078081

A More Efficient Algorithm for Convex Nonparametric Least Squares

Lee, Chia-Yen - 2013

Convex Nonparametric Least Squares (CNLS) is a nonparametric regression method that does not require a priori specification of the functional form. The CNLS problem is solved by mathematical programming techniques; however, since the CNLS problem size grows quadratically as a function of the...

Persistent link: https://www.econbiz.de/10013091856

Some remarks on CCP-based estimators of dynamic models

Fosgerau, Mogens; Melo, Emerson; Shum, Matthew; … - 2021

Persistent link: https://www.econbiz.de/10012436854

Some remarks on CCP-based estimators of dynamic models

Fosgerau, Mogens; Melo, Emerson; Shum, Matthew; … - In: Economics letters 204 (2021), pp. 1-5

Persistent link: https://www.econbiz.de/10012607814

Perturbed utility stochastic traffic assignment

Yao, Rui; Fosgerau, Mogens; Paulsen, Mads; Rasmussen, … - In: Transportation science 58 (2024) 4, pp. 876-895

Persistent link: https://www.econbiz.de/10014636751