Browsing articles in "Opinion"
Feb 19, 2019

# Teaching Statistics… at a Food Coop

IMS member Jonathan Skinner has taught a free statistics class (“without math”) as part of the offerings at his local food coop, in order to spread the good word, for [ More.. ]

Nov 15, 2018

# There’s fun in thinking just one step more

Ruobin Gong, Rutgers University, writes: Suppose that you and a group of friends play the following game. Everybody guesses an integer between 1 and 100. You win by getting closest [ More.. ]

Nov 15, 2018

# My ‘sexy statistics’ – take or LV it

Radu V. Craiu is Professor and Chair of the Department of Statistical Sciences at the University of Toronto. He writes: This past summer I was asked in a Q&A session [ More.. ]

Sep 1, 2018

# Growing Pains and Gains in Statistics, the Toronto Way

Radu V. Craiu is Professor and Chair of the Department of Statistical Sciences at the University of Toronto. He writes: These are interesting times for statistical science departments throughout the [ More.. ]

Nov 16, 2017

We in IMS must build the foundations of this emerging field Data science is at a crossroads. Will it become a fundamentally applied discipline, a collection of heuristics without any [ More.. ]

Oct 2, 2017

# Learning Sessions: more work, less shop?

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 [ More.. ]

Sep 2, 2016

# Data Wisdom for Data Science

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 [ More.. ]

Nov 17, 2015

# The Kids are Alright: Divide by n when estimating variance

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. [ More.. ]

Aug 28, 2015

# What is the core of Data Science?

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 [ More.. ]

Aug 28, 2015

# Data Science Conference: an interview

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 [ More.. ]

Feb 16, 2015

# The wavelet-boom and its statistical children

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 [ More.. ]

Nov 18, 2014

# IMS President’s Message: Erwin Bolthausen

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 [ More.. ]

Jul 1, 2014

# IMS: a cross-continent human network (with free student membership)

IMS President Bin Yu writes: As I am finishing my term as the IMS President and transitioning into the role of Past-President, I have been reflecting on the roles of [ More.. ]

Nov 17, 2013

# Resolving Irreproducibility in Empirical and Computational Research

Victoria Stodden writes: The reproducibility of published findings is becoming a hot topic. From reports in the popular press to congressional activity, and from scholarly society engagement to academic publications [ More.. ]

Jul 16, 2013

# Professional Societies: Still Relevant for Junior Researchers?

Nicole Lazar is a contributing editor of the IMS Bulletin. She writes: A February 27, 2013 posting by Alice Meadows on the website scholarlykitchen.sspnet.org bore the title Are Scholarly Societies [ More.. ]

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