nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A new era of statistics and data science education in Japanese universities
|
Takemura, Akimichi |
|
2018 |
1 |
1 |
p. 109-116 |
artikel |
2 |
A new journal in data science
|
Aoshima, Makoto |
|
2018 |
1 |
1 |
p. 1 |
artikel |
3 |
Bayes minimax competitors of preliminary test estimators in k sample problems
|
Imai, Ryo |
|
2018 |
1 |
1 |
p. 3-21 |
artikel |
4 |
Data science vs. statistics: two cultures?
|
Carmichael, Iain |
|
2018 |
1 |
1 |
p. 117-138 |
artikel |
5 |
Divide and recombine (D&R) data science projects for deep analysis of big data and high computational complexity
|
Tung, Wen-wen |
|
2018 |
1 |
1 |
p. 139-156 |
artikel |
6 |
Estimation pitfalls when the noise is not i.i.d.
|
Giraitis, Liudas |
|
2018 |
1 |
1 |
p. 59-80 |
artikel |
7 |
Locally stationary spatio-temporal processes
|
Matsuda, Yasumasa |
|
2018 |
1 |
1 |
p. 41-57 |
artikel |
8 |
Multiplicity adjustment for temporal and spatial scan statistics using Markov property
|
Kuriki, Satoshi |
|
2018 |
1 |
1 |
p. 191-213 |
artikel |
9 |
Partial quasi-likelihood analysis
|
Yoshida, Nakahiro |
|
2018 |
1 |
1 |
p. 157-189 |
artikel |
10 |
Sharing hash codes for multiple purposes
|
Pronobis, Wiktor |
|
2018 |
1 |
1 |
p. 215-246 |
artikel |
11 |
Small-area estimation with missing data using a multivariate linear random effects model
|
Ngaruye, Innocent |
|
2018 |
1 |
1 |
p. 23-37 |
artikel |
12 |
Special feature: perspectives on data science for advanced statistics
|
Aoshima, Makoto |
|
2018 |
1 |
1 |
p. 39-40 |
artikel |
13 |
Stream-suitable optimization algorithms for some soft-margin support vector machine variants
|
Nguyen, Hien D. |
|
2018 |
1 |
1 |
p. 81-108 |
artikel |