Variable Selection and Feature Screening for Ultrahigh-dimensional Data

Acces sibility Controls

Implementing Organization

Indian Institute of Technology (IIT), Kanpur

Principal Investigator

Dr. Subhajit Dutta

Indian Institute of Technology (IIT), Kanpur

About

With the rapid development of modern data collection methods, a vast amount of data with high-dimensional features become increasingly popular in scientific areas such as biology, finance and computer science. This necessitates an advancement of classical statistical methods to handle ultrahigh-dimensionality present in such data. In recent times, considerable attention has been devoted to variable selection and feature screening. The broad goal of this project is to explore two research areas: (i) fast tests for high-dimensional means under sparsity applicable to multiple class problems, and (ii) model-free sure screening methods for classification based on joint variables.

Source

Anusandhan National Research Foundation/Science and Engineering Research Board (SERB), DST 2023-24

Related Research

View All

Funding Organization

Science and Engineering Research Board (SERB), New Delhi

Anusandhan National Research Foundation (ANRF)

Quick Information

Area of Research

Mathematical Sciences

Focus Area

Variable Selection, Feature Screening

Start Year

2024

End Year

2027

Sanction Amount

₹ 6.60 L

Status

Ongoing

Contact

duttas@iitk.ac.in

Output

No. of Research Paper

Technologies (If Any)

No. of PhD Produced

No. of Patents

Filed : 00

Grant : 00

Acces sibility Controls

Research Projects