Sparse common and distinctive covariates regression

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

Sparse Ising Models with Covariates

There has been a lot of work fitting Ising models to multivariate binary data in order to understand the conditional dependency relationships between the variables. However, additional covariates are frequently recorded together with the binary data, and may influence the dependence relationships. Motivated by such a dataset on genomic instability collected from tumor samples of several types, ...

متن کامل

Robust Estimation in Linear Regression with Molticollinearity and Sparse Models

‎One of the factors affecting the statistical analysis of the data is the presence of outliers‎. ‎The methods which are not affected by the outliers are called robust methods‎. ‎Robust regression methods are robust estimation methods of regression model parameters in the presence of outliers‎. ‎Besides outliers‎, ‎the linear dependency of regressor variables‎, ‎which is called multicollinearity...

متن کامل

Regression Discontinuity Design with Covariates

Regression Discontinuity Design with Covariates In this paper, the regression discontinuity design (RDD) is generalized to account for differences in observed covariates X in a fully nonparametric way. It is shown that the treatment effect can be estimated at the rate for one-dimensional nonparametric regression irrespective of the dimension of X. It thus extends the analysis of Hahn, Todd, and...

متن کامل

Constructing Covariates in Multilevel Regression

and Ulrich Trautwein for finding and correcting an error in formula (10) in the previous version of this note.

متن کامل

Regression Discontinuity Designs Using Covariates∗

We study identification, estimation, and inference in Regression Discontinuity (RD) designs when additional covariates are included in the estimation. Standard RD estimation and inference is based on local polynomial regression methods using two variables: the outcome and the running variable that determines treatment assignment. Applied researchers often include additional covariates in their ...

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: Journal of Chemometrics

سال: 2020

ISSN: 0886-9383,1099-128X

DOI: 10.1002/cem.3270