3 papers
stat.ME2024
Efficient subsampling for high-dimensional data
Vasilis Chasiotis, Lin Wang, Dimitris Karlis
In the field of big data analytics, the search for efficient subdata selection methods that enable robust statistical inferences with minimal computational resources is of high imp…
stat.ME2024
Subdata selection for big data regression: an improved approach
Vasilis Chasiotis, Dimitris Karlis
In the big data era researchers face a series of problems. Even standard approaches/methodologies, like linear regression, can be difficult or problematic with huge volumes of data…
stat.ME2024
On the estimation of complex statistics combining different surveys
Vasilis Chasiotis, Dimitris Karlis
The importance of exploring a potential integration among surveys has been acknowledged in order to enhance effectiveness and minimize expenses. In this work, we employ the alignme…