[ 19] I. Rios, R. Wets and D. Woodruff, Multi-period forecasting and scenario

generation with limited data, 2013 (submitted for publication)

[ 18] A. Weintraub and R. Wets, Harvesting Management: generating wood prices

scenarios, Tech. Report, U, de Chile, 2013

[ 17] R. Wets and I. Rios, Modeling and estimating commodity prices: Copper prices,

Mathematics and Financial Economics, 2013 (submitted)

[ 16] J. Royset and R. Wets, Nonparametric density estimation via exponential

epi-splines: fusion of soft and hard information. 2013 (submitted)

[15] Singham, D.I., J.O. Royset, R. J.-B. Wets. 2013. Density estimation of simulation

output using exponential episplines. Proceedings of the 2013 Winter Simulation

Conference. Institute of Electrical and Electronics Engineers, Inc., Piscataway,

New Jersey, 755–765. [S.-H. Kim, A. Tolk, R. Hill, and M. E. Kuhl, eds]

[ 14] Y. Feng, D. Gade, S. Ryan, J.P. Watson, R. Wets and D. Woodruff, A new

approximation method for generating for day-ahead load scenarios. 2013 IEEE

Power & Energy Society General Meeting

[ 13] G. Pflug and R. Wets. Shape restricted nonparametric regression with overall

noisy measurements, Universität. Wien, 2012. J. of Nonparametric Statistics

[ 12] R. Wets, Optimization technology in statistical estimation: fusion of soft and

hard Information, Workshop on Nonparametric and Geometry, Praha, 2011

[ 11] M. Casey and R. Wets. Density estimation: exploiting non-data information.

Mathematics, University of California, Davis, 2010.

[ 10] R. Wets. Exploiting non-data information, Qualitative Assumptions and

Regularization in High-Dimensional Statistics, Oberwolfach-meeting, 2006

[ 9] L.Korf and R. Wets. Random lsc functions: an ergofic theorem Mathematics of

Operations Research, 26:421-445, 2001.

[ 8] M.X. Dong and R. Wets. Estimating density functions: a constrained maximum

likelihood approach. Journal of Nonparametric Statistics, 12:549–595, 2000.

[ 7] R. Wets. Statistical estimation from an optimization viewpoint.

Annals of Operations Research, 85:79–102, 1999.

[ 6] G. Salinetti and R. Wets. Glivenko-Cantelli type theorems: an application of the

convergence theory of stochastic suprema.

Annals of Operations Research, 30:157–168, 1991.

[ 5] R. Wets. Constrained estimation: consistency and asymptotics.

Applied Stochastic Models and Data Analysis, 7:17–32, 1991.

[ 4] J. Dupačová and R. Wets. Asymptotic behavior of statistical estimators and of

optimal solutions for stochastic optimization problems.

The Annals of Statistics, 16:1517–1549, 1988.

[ 3] F. Solis and R. Wets. A statistical view of stochastic programming.

Manuscript, University of Kentucky, 1981.

[ 2] R. Wets. A statistical approach to the solution of stochastic programs with

(convex) simple recourse. Manuscript, University of Kentucky, 1979.

[ 1] A. Marshall, D. Walkup, and R. Wets. Order preserving functions: applications to

majorization and order statistics.

Pacific Journal of Mathematics, 23:569–584, 1967.