Professor HOSHINO Nobuaki
Faculty, Affiliation
Faculty of Economics and Management,Institute of Human and Social Sciences
College and School Educational Field
Division of Economics, Graduate School of Human and Socio-Environmental Studies
Division of Human and Socio-Environment Studies, Graduate School of Human and Socio-Environmental Studies
Laboratory
TEL:076-264-5421 FAX:076-264-5444
Academic Background
【Academic background(Doctoral/Master's Degree)】
The University of Tokyo Doctor Graduate School, Division of Economics 199903 Accomplished credits for doctoral program
【Academic background(Bachelor's Degree)】
The University of Tokyo 199403
Career
The University of Tokyo(2005-2005)
Kanazawa University(2011-)
The Institute of Statistical Mathematics(2020-2021)
Kanazawa University(1999-2002)
Carnegie Mellon University(2001-2002)
Kanazawa University(2003-2011)
Year & Month of Birth
1971/08
Academic Society
Award
Specialities
、
Speciality Keywords
Research Themes
Statistical inference of microdata disclosure risk
Books
- Hoshino, Nobuaki,Mano, Shuhei,Shimura, Takaaki Pioneering works on extreme value theory : in honor of Masaaki Sibuya Springer 2021
- Hoshino, Nobuaki,Mano, Shuhei,Shimura, Takaaki Pioneering works on distribution theory : in honor of Masaaki Sibuya Springer 2020
Papers
- On reduction of finite-sample variance by extended Latin hypercube sampling N Hoshino,A Takemura BERNOULLI 6 6 1035 2000/12
- Microdata Disclosure Risk Evaluation with Superpopulation Models : A Review 51 2 297 2003
- Genome-wide transcriptome mapping analysis identifies organ-specific gene expression patterns along human chromosomes T Yamashita,M Honda,H Takatori,R Nishino,N Hoshino,S Kaneko GENOMICS 84 5 867 2004/11
- A firm foundation for statistical disclosure control Nobuaki Hoshino Japanese Journal of Statistics and Data Science 3 2 721 2020/12
- RELATIONSHIP BETWEEN LOGARITHMIC SERIES MODEL AND OTHER SUPERPOPULATION MODELS USEFUL FOR MICRODATA DISCLOSURE RISK ASSESSMENT HOSHINO Nobuaki,TAKEMURA Akimichi Journal of the Japan Statistical Society 28 2 125 1998
- Evidence Based Anonymization Hoshino Nobuaki Journal of the Japan Statistical Society, Japanese Issue 46 1 1 2016
- Random partitioning over a sparse contingency table Nobuaki Hoshino ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 64 3 457 2012/06
- RANDOM CLUSTERING BASED ON THE CONDITIONAL INVERSE GAUSSIAN-POISSON DISTRIBUTION Nobuaki Hoshino,Faculty of Economics Kanazawa University Journal of the Japan Statistical Society 33 1 105 2003
- Engen's extended negative binomial model revisited N Hoshino ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 57 2 369 2005/06
- Applying Pitman's sampling formula to microdata disclosure risk assessment HOSHINO N. Journal of Official Statistics 17 499 2001
- The Quasi-multinomial Distribution as a Tool for Disclosure Risk Assessment Nobuaki Hoshino JOURNAL OF OFFICIAL STATISTICS 25 2 269 2009
- A discrete multivariate distribution resulting from the law of small numbers Nobuaki Hoshino JOURNAL OF APPLIED PROBABILITY 43 3 852 2006/09
Conference Presentations
Others
Arts and Fieldwork
Patent
Theme to the desired joint research
Grant-in-Aid for Scientific Research
Competitive research funding,Contribution
Collaborative research,Consignment study
Classes (Bachelors)
○Economic Statistics A(2017)
○Economic Statistics B(2017)
○Economic Statistics A(2017)
○Seminar(2017)
○Economic Statistics A(2017)
○Presentation and Debate (Freshman Seminar II)(2016)
○Freshman Seminar I(2016)
○Seminar(2016)
○Economic Statistics A(2016)
○Economic Statistics B(2016)
○Economic Statistics A(2016)
Classes (Graduate Schools)
○Advanced statistics II(2017)
○Special Study on Economic Statistics a-2(2017)
○Advanced statistics I(2017)
○Seminar on Economic Statistics a(2017)
○Special Study on Economic Statistics a(2017)
○Seminar on(2017)
○Special Study on Economic Statistics a(2017)
○Special Study on Economic Statistics a-1(2017)
○Special Study on Economic Statistics b(2017)
○Seminar on Economic Statistics b(2017)
○Seminar on Economic Statistics b-2(2017)
○Seminar on Economic Statistics b-1(2017)
○Seminar on Economic Statistics a-2(2017)
○Special Study on Economic Statistics b-2(2017)
○Seminar on Advanced statistics I(2017)
○Seminar on Advanced statistics II(2017)
○Statistical Modeling(2017)
○Seminar on Statistical Modeling(2017)
○Special Study on Economic Statistics b-1(2017)
○Seminar on Economic Statistics a-1(2017)
○Seminar on(2016)
○Special Study on Economic Statistics a(2016)
○Advanced statistics I(2016)
○Advanced statistics II(2016)
○Seminar on Advanced statistics I(2016)
○Seminar on Advanced statistics II(2016)
○Special Study on Economic Statistics b-1(2016)
○Seminar on Economic Statistics b-1(2016)
○Special Study on Economic Statistics b(2016)
○Seminar on Economic Statistics a-2(2016)
○Seminar on Economic Statistics a-1(2016)
○Special Study on Economic Statistics b-2(2016)
○Special Study on Economic Statistics a(2016)
○Seminar on Economic Statistics a(2016)
○Seminar on Economic Statistics b(2016)
○Special Study on Economic Statistics a-2(2016)
○Special Study on Economic Statistics a-1(2016)
○Seminar on Economic Statistics b-2(2016)
○Seminar on Statistical Modeling(2016)
○Statistical Modeling(2016)