Making Statistics Work in the Real World
Episode Description
Recent Wharton research examines the interplay between the computational complexity of statistical methods and their performance. More: http://knlg.net/2iFryNx 📂 Management;Technology 🏷️ Research
Brief Summary
Wharton Professor Bashor Bataria discusses graph-based methods in statistics and their applications in genetics and natural language processing.
Key points
- Exploring Graph-Based Methods. Professor Bashor Bataria discusses the efficiency of graph-based methods in statistics.
- The Two Sample Problem. A practical application of the research involves analyzing gene expression levels.
- Applications in Natural Language Processing. The research extends to understanding word similarities in language processing.
Ask about Knowledge at Wharton
Episode highlights
- Exploring Graph-Based MethodsProfessor Bashor Bataria discusses the efficiency of graph-based methods in statistics.“Many of these graph-based methods are computationally very efficient.”1:05Jun 29, 2017
- The Two Sample ProblemA practical application of the research involves analyzing gene expression levels.“The goal is to find out whether these 20 genes are expressed differentially.”2:06Jun 29, 2017
- Applications in Natural Language ProcessingThe research extends to understanding word similarities in language processing.“Our methods can analyze problems in natural language processing.”2:46Jun 29, 2017
