Timo Kuosmanen

27 papers Journal 26Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Combining convex regression with the regression discontinuity design: Effectiveness of e-scooter providers during the Covid-19 lockdown.
Eur. J. Oper. Res.
Kenneth Løvold Rødseth, Timo Kuosmanen, Rasmus Bøgh Holmen
2025 J jnl
Optimal resource allocation: Convex quantile regression approach.
Eur. J. Oper. Res.
Sheng Dai, Natalia Kuosmanen, Timo Kuosmanen, Juuso Liesiö
2024 J jnl
Convex support vector regression.
Eur. J. Oper. Res.
Zhiqiang Liao, Sheng Dai, Timo Kuosmanen
2024 J jnl
pyStoNED: A
J. Stat. Softw.
Sheng Dai, Yu-Hsueh Fang, Chia-Yen Lee, Timo Kuosmanen
2023 J jnl
Generalized quantile and expectile properties for shape constrained nonparametric estimation.
Eur. J. Oper. Res.
Sheng Dai, Timo Kuosmanen, Xun Zhou
2021 J jnl
Shadow prices and marginal abatement costs: Convex quantile regression approach.
Eur. J. Oper. Res.
Timo Kuosmanen, Xun Zhou
2020 J jnl
Portfolio diversification based on stochastic dominance under incomplete probability information.
Eur. J. Oper. Res.
Juuso Liesiö, Peng Xu, Timo Kuosmanen
2020 J jnl
What drives decarbonization of new passenger cars?
Eur. J. Oper. Res.
Xun Zhou, Timo Kuosmanen
2019 — conf
Cost-Effectiveness of Digital Wound Care Education in a Healthcare Organization.
MedInfo
Anna-Maria Hiltunen, Riikka Laurila, Katariina Silander, Timo Kuosmanen
2017 J jnl
Modeling joint production of multiple outputs in StoNED: Directional distance function approach.
Eur. J. Oper. Res.
Timo Kuosmanen, Andrew L. Johnson
2013 J jnl
A more efficient algorithm for Convex Nonparametric Least Squares.
Eur. J. Oper. Res.
Chia-Yen Lee, Andrew L. Johnson, Erick Moreno-Centeno, Timo Kuosmanen
2013 J jnl
Stochastic non-convex envelopment of data: Applying isotonic regression to frontier estimation.
Eur. J. Oper. Res.
Abolfazl Keshvari, Timo Kuosmanen
2012 J jnl
A Multi-objective Procedure for Efficient Regression Modeling
CoRR
Ankur Sinha, Pekka Malo, Timo Kuosmanen
2012 J jnl
One-stage and two-stage DEA estimation of the effects of contextual variables.
Eur. J. Oper. Res.
Andrew L. Johnson, Timo Kuosmanen
2011 J jnl
Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions.
Eur. J. Oper. Res.
Victor V. Podinovski, Timo Kuosmanen
2010 J jnl
Data Envelopment Analysis as Nonparametric Least-Squares Regression.
Oper. Res.
Timo Kuosmanen, Andrew L. Johnson
2010 J jnl
Firm and industry level profit efficiency analysis using absolute and uniform shadow prices.
Eur. J. Oper. Res.
Timo Kuosmanen, Mika Kortelainen, Timo Sipiläinen, Laurens Cherchye
2009 J jnl
Data envelopment analysis with missing data.
J. Oper. Res. Soc.
Timo Kuosmanen
2009 J jnl
Theory of integer-valued data envelopment analysis.
Eur. J. Oper. Res.
Timo Kuosmanen, Reza Kazemi Matin
2006 J jnl
The law of one price in data envelopment analysis: Restricting weight flexibility across firms.
Eur. J. Oper. Res.
Timo Kuosmanen, Laurens Cherchye, Timo Sipiläinen
2004 J jnl
Efficient Diversification According to Stochastic Dominance Criteria.
Manag. Sci.
Timo Kuosmanen
2003 J jnl
Measuring economic efficiency with incomplete price information.
Eur. J. Oper. Res.
Timo Kuosmanen, Thierry Post
2002 J jnl
Nonparametric Efficiency EstimationIn Stochastic Environments.
Oper. Res.
Thierry Post, Laurens Cherchye, Timo Kuosmanen
2002 J jnl
Quadratic data envelopment analysis.
J. Oper. Res. Soc.
Timo Kuosmanen, Thierry Post
2001 J jnl
Alternative treatments of congestion in DEA: A rejoinder to Cooper, Gu, and Li.
Eur. J. Oper. Res.
Laurens Cherchye, Timo Kuosmanen, Thierry Post
2001 J jnl
DEA with efficiency classification preserving conditional convexity.
Eur. J. Oper. Res.
Timo Kuosmanen
2001 J jnl
Measuring economic efficiency with incomplete price information: With an application to European commercial banks.
Eur. J. Oper. Res.
Timo Kuosmanen, Thierry Post