Sequential point estimation with bounded risk in a multivariate regression model

نویسندگان

چکیده

برای دانلود رایگان 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

Sequential Kernel Estimation of a Multivariate Regression Function

This paper presents a sequential estimation procedure for an unknown multivariate regression function. Observed regressors and noises of the model are supposed to be dependent and form sequences of dependent vectors and numbers respectively. Two types of estimators are considered. Both estimators are constructed on the basis of Nadaraya–Watson kernel estimators. First, sequential estimators wit...

متن کامل

Outcomes of High-Risk Pregnancies in Northern Iran: Multivariate Logistic Regression Model

Abstract Background and purpose: High-risk pregnancy is referred to a situation in which mother, fetus or neonate are in higher risk of morbidity or mortality. Because of adverse outcomes of high-risk pregnancies, this study aims to determine these outcomes in the North of Iran.  Materials and Methods: We recruited 803 urban and rural pregnant women in this crosssectional ...

متن کامل

Sparse Multivariate Regression With Covariance Estimation.

We propose a procedure for constructing a sparse estimator of a multivariate regression coefficient matrix that accounts for correlation of the response variables. This method, which we call multivariate regression with covariance estimation (MRCE), involves penalized likelihood with simultaneous estimation of the regression coefficients and the covariance structure. An efficient optimization a...

متن کامل

Estimation in a linear multivariate measurement error model with a change point in the data

A linear multivariate measurement error model AX = B is considered. The errors in [

متن کامل

Efficient Multivariate Quantile Regression Estimation

We propose an efficient semiparametric estimator for the multivariate linear quantile regression model in which the conditional joint distribution of errors given regressors is unknown. The procedure can be used to estimate multiple conditional quantiles of the same regression relationship. The proposed estimator is asymptotically as efficient as if the conditional distribution were known. Simu...

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: Tsukuba Journal of Mathematics

سال: 1990

ISSN: 0387-4982

DOI: 10.21099/tkbjm/1496161320