Stochastic Game Theory: For Playing Games, Not Just for Doing Theory

Steven Stern () and Hari Mukarjee ()

Virginia Economics Online Papers from University of Virginia, Department of Economics

Abstract: This article presents a two-stage estimation procedure that uses an ad hoc but very easily implemented isotonization of a kernel estimator. This procedure yields an isotonic estimator with the convergence properties of the kernel estimator. Although the isotonization in the second stage does not satisfy the least squares condition, this hybrid estimator may be considered to be a multidimensional generalization of similar procedures for the one-dimensional case suggested by Friedman and Tibshirani and by Mukarjee. We derive some of the asymptotic properties of our estimator and demonstrate other statistical properties with Monte Carlo studies. We conclude by providing a real data example.

Keywords: Isotonic; Multiargument; Nonparametric (search for similar items in EconPapers)
JEL-codes: C14 (search for similar items in EconPapers)
Pages: 5 pages
Date: 1994-03
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://repec.as.virginia.edu/RePEc/vir/virpap/papers/virpap390.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vir:virpap:390

Access Statistics for this paper

More papers in Virginia Economics Online Papers from University of Virginia, Department of Economics
Bibliographic data for series maintained by Debby Stanford ().