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2018
John M. Chambers Statistical Software Award
This year we had 12 entries. The award is shared by two winners.
- Dustin Tran (Department of Computer Science, Columbia University)
for
edward
(
http://edwardlib.org
), a Python package for probabilistic
modeling, inference, and criticism.
- Nan Xiao (School of Mathematics and Statistics, Central South
University, China) for
liftr
(
https://liftr.me
), an R package for
persistent reproducible reporting.
Student Paper Awards
This year we had a great competition with 25 submissions. The
committee
selected four winners and one honorable mention. The four
winners are:
"BRISC: Bootstrap for rapid inference on spatial covariances", by
Arkajyoti Saha (Department of Biostatistics, Johns Hopkins University)
"MM algorithms for variance component models", by Liuyi Hu
(Department of Statistics, North Carolina State University).
"An
asympirical
smoothing parameters selection approach for SS-ANOVA
models in large samples", by Xiaoxiao Sun (Department of Statistics,
University of Georgia)
"Calendar-based graphics for visualizing people's daily schedules",
by
Earo
Wang (Department of Econometrics and Business Statistics,
Monash University)
The honorable mention is
"Dependency diagnostic: visually understanding pairwise variable
relations", by Kevin Lin (Department of Statistics, Carnegie Mellon
University)
The
Chambers
Award review committee consists of Patrick Breheny
(chair), Deepayan Sarkar, and Yihui Xie. The Student Paper Award
review committee consists of Heike Hofmann, Daniel Sussman, Raymond
Wong, and Hao Helen Zhang (chair). We thank the reviewers for their
hard work in evaluating the submissions during the holiday season. The
winners will present their works in a topic-contributed session at JSM
2018.
Congratulations to all the award recipients.
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