Opinion
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,…
Guest columnist Dominique Picard considers the statistical legacy of wavelets.
Once upon a time (around the nineties), wavelet analysis emerged as a major tool in various disciplines, including several branches of pure and applied mathematics and statistics. The primary intent at this time was to produce and exploit the properties…
Erwin Bolthausen became IMS President in July (he is pictured below, center, with Past-President Bin Yu, left, and President-Elect Richard Davis, right). Erwin shares his thoughts on the future of the institute:
The IMS is extremely successful as a scientific society, mainly as a scientific publisher, and also with its…
