Bernstein polynomial model for nonparametric multivariate density

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nonparametric Regression Estimation under Kernel Polynomial Model for Unstructured Data

The nonparametric estimation(NE) of kernel polynomial regression (KPR) model is a powerful tool to visually depict the effect of covariates on response variable, when there exist unstructured and heterogeneous data. In this paper we introduce KPR model that is the mixture of nonparametric regression models with bootstrap algorithm, which is considered in a heterogeneous and unstructured framewo...

متن کامل

On Bernstein Type Inequalities for Complex Polynomial

In this paper, we establish some Bernstein type inequalities for the complex polynomial. Our results constitute generalizations and refinements of some well-known polynomial inequalities.

متن کامل

Nonparametric Models for Longitudinal Data Using Bernstein Polynomial Sieve

We develop a new nonparametric approach to the analysis of irregularly observed longitudinal data using a sieve of Bernstein polynomials within a Gaussian process framework. The proposed methodology has a number of novel features: (i) both the mean function and the covariance function can be estimated simultaneously under a set of mild regularity conditions; (ii) the derivative of the response ...

متن کامل

Multivariate Nonparametric Volatility Density Estimation

We consider a continuous-time stochastic volatility model. The model contains a stationary volatility process, the multivariate density of the finite dimensional distributions of which we aim to estimate. We assume that we observe the process at discrete instants in time. The sampling times will be equidistant with vanishing distance. A multivariate Fourier-type deconvolution kernel density est...

متن کامل

Shape Restricted Nonparametric Regression Based on Multivariate Bernstein Polynomials

There has been increasing interest in estimating a multivariate regression function subject to shape restrictions, such as nonnegativity, isotonicity, convexity and concavity. The estimation of such shape-restricted regression curves is more challenging for multivariate predictors, especially for functions with compact support. Most of the currently available statistical estimation methods for ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Statistics

سال: 2019

ISSN: 0233-1888,1029-4910

DOI: 10.1080/02331888.2019.1574299