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Representation theorem for convex nonparametric least squares

Kuosmanen, Timo - In: The econometrics journal 11 (2008) 2, pp. 308-325

Persistent link: https://www.econbiz.de/10003750827

Stochastic Nonparametric Envelopment of Data : Cross-Sectional Frontier Estimation Subject to Shape Constraints

Kuosmanen, Timo; Kortelainen, Mika - 2007

The field of production frontier estimation is divided between the parametric Stochastic Frontier Analysis (SFA) and the deterministic, nonparametric Data Envelopment Analysis (DEA). This paper explores an amalgam of DEA and SFA that melds a nonparametric frontier with a stochastic composite...

Persistent link: https://www.econbiz.de/10014050905

Data Envelopment Analysis as Nonparametric Least Squares Regression

Kuosmanen, Timo; Johnson, Andrew L - 2018

Data Envelopment Analysis (DEA), a nonparametric mathematical programming approach to productive efficiency analysis, envelops all observed data. In this paper we show that DEA can be interpreted as nonparametric least squares regression subject to shape constraints on frontier and sign...

Persistent link: https://www.econbiz.de/10014216692

Generalized quantile and expectile properties for shape constrained nonparametric estimation

Dai, Sheng; Kuosmanen, Timo; Zhou, Xun - In: European journal of operational research : EJOR 310 (2023) 2, pp. 914-927

Persistent link: https://www.econbiz.de/10014340805

Stochastic non-convex envelopment of data : applying isotonic regression to frontier estimation

Keshvari, Abolfazl; Kuosmanen, Timo - In: European journal of operational research : EJOR 231 (2013) 2, pp. 481-491

Persistent link: https://www.econbiz.de/10009785475

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

Neoclassical versus frontier production models? : testing for the skewness of regression residuals

Kuosmanen, Timo; Fosgerau, Mogens - In: The Scandinavian journal of economics 111 (2009) 2, pp. 351-367

Persistent link: https://www.econbiz.de/10003841373

Modeling joint production of multiple outputs in StoNED : directional distance function approach

Kuosmanen, Timo; Johnson, Andrew L. - In: European journal of operational research : EJOR 262 (2017) 2, pp. 792-801

Persistent link: https://www.econbiz.de/10011798949

Convex support vector regression

Liao, Zhiqiang; Dai, Sheng; Kuosmanen, Timo - In: European journal of operational research : EJOR 313 (2024) 3, pp. 858-870

Persistent link: https://www.econbiz.de/10014456645

Shape-constrained kernel-weighted least squares : estimating production functions for Chilean manufacturing industries

Yagi, Daisuke; Chen, Yining; Johnson, Andrew L.; … - In: Journal of business & economic statistics : JBES ; a … 38 (2020) 1, pp. 43-54

Persistent link: https://www.econbiz.de/10012179500