Opinion
Jan Swart is a research fellow at the Institute of Information Theory and Automatization, in the Academy of Sciences of the Czech Republic, Prague. He writes to share his experiences of co-organizing Learning Sessions, trialling a new format for sharing knowledge:
In four columns published in 2014 and 2015…
Bin Yu, Departments of Statistics and EECS, University of California at Berkeley wrote this Invited note for http://odbms.org (The Resource Portal for Big Data, New Data Management Technologies and Data Science). We reprint it here with permission:
In the era of big data, much of the research in academia and…
Jeffrey S. Rosenthal, Professor of Statistics, University of Toronto, writes:
It happens to the instructor of every university-level introductory statistics class. You define the mean m, and the variance v. You explain how to estimate the mean from an i.i.d. sample, via $\bar{x} = \frac{1}{n} \sum{x_i}$. Then you have to…
David Dunson, Arts and Sciences Professor of Statistical Science at Duke University, writes:
What is the core of data science? To address this, I think it is necessary to first touch on the question of what is data science? Certainly there is not one agreed upon definition of what data…
On June 11–12, 2015, the IMS-Microsoft Research workshop Foundations of Data Science brought together parallel communities of statisticians and machine learning researchers to discuss various problems that have both statistical and computational aspects. The organizers Jennifer Chayes from Microsoft Research, former IMS president Bin Yu from UC Berkeley Statistics Department,…