A new journal in data science (English)
Free access
- New search for: Aoshima, Makoto
- New search for: Aoshima, Makoto
In:
Japanese Journal of Statistics and Data Science
;
1
, 1
;
1
;
2018
- Article (Journal) / Electronic Resource
-
Title:A new journal in data science
-
Contributors:Aoshima, Makoto ( author )
-
Published in:
-
Publisher:
- New search for: Springer Singapore
-
Place of publication:Singapore
-
Publication date:2018-05-18
-
Size:1 pages
-
ISSN:
-
DOI:
-
Type of media:Article (Journal)
-
Type of material:Electronic Resource
-
Language:English
-
Keywords:Statistics , Statistical Theory and Methods , Statistics and Computing/Statistics Programs , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences , Statistics for Life Sciences, Medicine, Health Sciences , Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
-
Source:
Table of contents – Volume 1, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
-
A new journal in data scienceAoshima, Makoto et al. | 2018
- 3
-
Bayes minimax competitors of preliminary test estimators in k sample problemsImai, Ryo / Kubokawa, Tatsuya / Ghosh, Malay et al. | 2018
- 23
-
Small-area estimation with missing data using a multivariate linear random effects modelNgaruye, Innocent / Rosen, Dietrich / Singull, Martin et al. | 2018
- 39
-
Special feature: perspectives on data science for advanced statisticsAoshima, Makoto et al. | 2018
- 41
-
Locally stationary spatio-temporal processesMatsuda, Yasumasa / Yajima, Yoshihiro et al. | 2018
- 59
-
Estimation pitfalls when the noise is not i.i.d.Giraitis, Liudas / Taniguchi, Masanobu / Taqqu, Murad S. et al. | 2018
- 81
-
Stream-suitable optimization algorithms for some soft-margin support vector machine variantsNguyen, Hien D. / Jones, Andrew T. / McLachlan, Geoffrey J. et al. | 2018
- 109
-
A new era of statistics and data science education in Japanese universitiesTakemura, Akimichi et al. | 2018
- 117
-
Data science vs. statistics: two cultures?Carmichael, Iain / Marron, J. S. et al. | 2018
- 139
-
Divide and recombine (D&R) data science projects for deep analysis of big data and high computational complexityTung, Wen-wen / Barthur, Ashrith / Bowers, Matthew C. / Song, Yuying / Gerth, John / Cleveland, William S. et al. | 2018
- 157
-
Partial quasi-likelihood analysisYoshida, Nakahiro et al. | 2018
- 191
-
Multiplicity adjustment for temporal and spatial scan statistics using Markov propertyKuriki, Satoshi / Takahashi, Kunihiko / Hara, Hisayuki et al. | 2018
- 215
-
Sharing hash codes for multiple purposesPronobis, Wiktor / Panknin, Danny / Kirschnick, Johannes / Srinivasan, Vignesh / Samek, Wojciech / Markl, Volker / Kaul, Manohar / Müller, Klaus-Robert / Nakajima, Shinichi et al. | 2018