The character of nonparametric statistical methods is that they are constructed for very general situations, without the specific narrow assumptions, which appear in the common parametric methods. Isotonic regression is a nonparametric regression method, which has paid a well deserved attention for some decades. In this case the only assumption about the regression function is that it is non-decreasing (or non increasing). The basic theory of isotonic regression is contained in the book by Barlow, Bartholomew, Brenner and Brunk (1972)
This paper gives optimal algorithms for determining realvalued univariate unimodal regressions, that...
In this paper, we propose a bootstrap method for testing the constancy of an isotonic regression. Th...
In this thesis we address the problem of estimating a curve of interest (which might be a probabilit...
This article introduces a new nonparametric method for estimating a univariate regression function o...
This article explores some theoretical aspects of a recent nonparametric method for estima...
Nonmetric Multidimensional Scaling model is characterized by the use of data given at least on an or...
A finite sample comparison is carried out for three recent nonparametric methodologies in estimating...
The present research work outlines the main ideas behind statistical regression by a 2-independent-v...
This paper gives algorithms for determining real-valued univariate unimodal regressions, that is, fo...
Thesis (M.S.)--Wichita State University, College of Liberal Arts and Sciences, Dept. of Mathematics ...
Consider the problem of pointwise estimation of f in a multiple isotonic regression model Z = f(X1, ...
Given n iid observation i(X,,Y):i=1,2,...,n) with unknown re ssion function m(.) = E(Y,/X,=.). It al...
The present paper deals with nonlinear, non-monotonic data regression. This paper introduces an effi...
25 pages, 5 figuresInternational audienceIn the present paper, we propose and analyze a novel method...
In my PhD thesis, I develop nonparametric instrumental variable methods for two different settings. ...
This paper gives optimal algorithms for determining realvalued univariate unimodal regressions, that...
In this paper, we propose a bootstrap method for testing the constancy of an isotonic regression. Th...
In this thesis we address the problem of estimating a curve of interest (which might be a probabilit...
This article introduces a new nonparametric method for estimating a univariate regression function o...
This article explores some theoretical aspects of a recent nonparametric method for estima...
Nonmetric Multidimensional Scaling model is characterized by the use of data given at least on an or...
A finite sample comparison is carried out for three recent nonparametric methodologies in estimating...
The present research work outlines the main ideas behind statistical regression by a 2-independent-v...
This paper gives algorithms for determining real-valued univariate unimodal regressions, that is, fo...
Thesis (M.S.)--Wichita State University, College of Liberal Arts and Sciences, Dept. of Mathematics ...
Consider the problem of pointwise estimation of f in a multiple isotonic regression model Z = f(X1, ...
Given n iid observation i(X,,Y):i=1,2,...,n) with unknown re ssion function m(.) = E(Y,/X,=.). It al...
The present paper deals with nonlinear, non-monotonic data regression. This paper introduces an effi...
25 pages, 5 figuresInternational audienceIn the present paper, we propose and analyze a novel method...
In my PhD thesis, I develop nonparametric instrumental variable methods for two different settings. ...
This paper gives optimal algorithms for determining realvalued univariate unimodal regressions, that...
In this paper, we propose a bootstrap method for testing the constancy of an isotonic regression. Th...
In this thesis we address the problem of estimating a curve of interest (which might be a probabilit...