Alternative treatments of congestion in DEA: A rejoinder to Cooper, Gu, and Li. - Laurens Cherchye; Timo Kuosmanen; Thierry Post (Eur. J. Oper. Res., 2001)

DEA with efficiency classification preserving conditional convexity. - Timo Kuosmanen (Eur. J. Oper. Res., 2001)

Measuring economic efficiency with incomplete price information: With an application to European commercial banks. - Timo Kuosmanen; Thierry Post (Eur. J. Oper. Res., 2001)

Nonparametric Efficiency EstimationIn Stochastic Environments. - Thierry Post; Laurens Cherchye; Timo Kuosmanen (Oper. Res., 2002)

Quadratic data envelopment analysis. - Timo Kuosmanen; Thierry Post (J. Oper. Res. Soc., 2002)

Measuring economic efficiency with incomplete price information. - Timo Kuosmanen; Thierry Post (Eur. J. Oper. Res., 2003)

Efficient Diversification According to Stochastic Dominance Criteria. - Timo Kuosmanen (Manag. Sci., 2004)

The law of one price in data envelopment analysis: Restricting weight flexibility across firms. - Timo Kuosmanen; Laurens Cherchye; Timo Sipiläinen (Eur. J. Oper. Res., 2006)

Theory of integer-valued data envelopment analysis. - Timo Kuosmanen; Reza Kazemi Matin (Eur. J. Oper. Res., 2009)

Data envelopment analysis with missing data. - Timo Kuosmanen (J. Oper. Res. Soc., 2009)

Firm and industry level profit efficiency analysis using absolute and uniform shadow prices. - Timo Kuosmanen; Mika Kortelainen; Timo Sipiläinen; Laurens Cherchye (Eur. J. Oper. Res., 2010)

Data Envelopment Analysis as Nonparametric Least-Squares Regression. - Timo Kuosmanen; Andrew L. Johnson (Oper. Res., 2010)

Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions. - Victor V. Podinovski; Timo Kuosmanen (Eur. J. Oper. Res., 2011)

A Multi-objective Procedure for Efficient Regression Modeling - Ankur Sinha 001; Pekka Malo; Timo Kuosmanen (CoRR, 2012)

One-stage and two-stage DEA estimation of the effects of contextual variables. - Andrew L. Johnson; Timo Kuosmanen (Eur. J. Oper. Res., 2012)

Stochastic non-convex envelopment of data: Applying isotonic regression to frontier estimation. - Abolfazl Keshvari; Timo Kuosmanen (Eur. J. Oper. Res., 2013)

A more efficient algorithm for Convex Nonparametric Least Squares. - Chia-Yen Lee; Andrew L. Johnson; Erick Moreno-Centeno; Timo Kuosmanen (Eur. J. Oper. Res., 2013)

Modeling joint production of multiple outputs in StoNED: Directional distance function approach. - Timo Kuosmanen; Andrew L. Johnson (Eur. J. Oper. Res., 2017)

Cost-Effectiveness of Digital Wound Care Education in a Healthcare Organization. - Anna-Maria Hiltunen; Riikka Laurila; Katariina Silander; Timo Kuosmanen (MedInfo, 2019)

Portfolio diversification based on stochastic dominance under incomplete probability information. - Juuso Liesiö; Peng Xu; Timo Kuosmanen (Eur. J. Oper. Res., 2020)

What drives decarbonization of new passenger cars? - Xun Zhou; Timo Kuosmanen (Eur. J. Oper. Res., 2020)

Shadow prices and marginal abatement costs: Convex quantile regression approach. - Timo Kuosmanen; Xun Zhou (Eur. J. Oper. Res., 2021)

Generalized quantile and expectile properties for shape constrained nonparametric estimation. - Sheng Dai; Timo Kuosmanen; Xun Zhou (Eur. J. Oper. Res., 2023)

pyStoNED: A Python Package for Convex Regression and Frontier Estimation. - Sheng Dai; Yu-Hsueh Fang; Chia-Yen Lee; Timo Kuosmanen (J. Stat. Softw., 2024)

Convex support vector regression. - Zhiqiang Liao; Sheng Dai; Timo Kuosmanen (Eur. J. Oper. Res., 2024)

Optimal resource allocation: Convex quantile regression approach. - Sheng Dai; Natalia Kuosmanen; Timo Kuosmanen; Juuso Liesiö (Eur. J. Oper. Res., 2025)