News
May 22, 2016
Contributing Editor Dimitris Politis writes:
Consider the standard setup where $X_1,\ldots, X_n$ are i.i.d. from distribution $F$ with mean $\mu=EX_i$, variance $ \sigma^2=E(X_i-\mu)^2>0$, skewness $\gamma = E(X_i-\mu)^3/\sigma^3$, and kurtosis $\kappa = E(X_i-\mu)^4/\sigma^4 $ assumed finite. As usual, define the sample mean $\bar X=\frac{1}{n}\sum_{i=1}^n X_i$, the sample variance $\hat \sigma^2=\frac{1}{n-1}\sum_{i=1}^n (X_i…
The Department of Statistics at Texas A&M University invites nominations for the Emanuel and Carol Parzen Prize for Statistical Innovation
To promote the dissemination of statistical innovation, the Emanuel and Carol Parzen Prize for Statistical Innovation is awarded in even numbered years to a North American statistician whose outstanding research…
Contributing Editor Xiao-Li Meng writes:
Other than zero, I have a hard time coming up with an estimate for the number of readers of my XL-Files of July 2013 who still recall the Harvard Horizons program, which trains students to present a five-minute TED-style talk on their research. But the…
The 15 recipients of this year’s IMS Travel Awards
The IMS Travel Awards provide funding for travel to present a paper or a poster at an IMS sponsored or co-sponsored meeting, for New Researchers who would not otherwise be able to attend. See http://www.imstat.org/awards/travel.html
Abhishek Chakrabortty
Shih-Kang Chao
Emilie Devijver…
Puzzle 14
Bulletin Editor Anirban DasGupta sets this problem. Student members of the IMS are invited to submit solutions (to bulletin@imstat.org with subject “Student Puzzle Corner”). The deadline is June 7, 2016.
It is the turn of a statistics problem this time, and we are going to look at a…