[ 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.