Japanese journal of statistics and data science

Keyphrases

Publications

volume 5, number 1, 2022

Tomoko Matsui, Nourddine Azzaoui, Daisuke Murakami
Analysis of COVID-19 evolution based on testing closeness of sequential data. Japanese journal of statistics and data science 5 (1) (2022)
Norio Watanabe
A k -means method for trends of time series: An application to time series of COVID-19 cases in Japan. Japanese journal of statistics and data science 5 (1) (2022)
Yusuke Takemura, Fumio Ishioka, Koji Kurihara
Detection of space-time clusters using a topological hierarchy for geospatial data on COVID-19 in Japan. Japanese journal of statistics and data science 5 (1) (2022)
Koji Kurihara
Special feature: statistics for COVID-19 pandemic data. Japanese journal of statistics and data science 5 (1) (2022)
Satoki Fujita, Ryo Kiguchi, Yuki Yoshida, Yoshitake Kitanishi
Determination of optimal prevention strategy for COVID-19 based on multi-agent simulation. Japanese journal of statistics and data science 5 (1) (2022)
Ahmad Al Saber, Parul Setiya, Ahmad T Al-Sultan, Jiazhu Pan
Exploring the impact of air pollution on COVID-19 admitted cases: Evidence from vector error correction model (VECM) approach in explaining the relationship between air pollutants towards COVID-19 cases in Kuwait. Japanese journal of statistics and data science 5 (1) (2022)

volume 5, number 2, 2022

Takuma Tanaka, Tetsuto Himeno, Kaoru Fueda
Shiga University's endeavor to promote human resources development for data science in Japan. Japanese journal of statistics and data science 5 (2) (2022)
Kentaro Sakamaki, Masataka Taguri, Hiromu Nishiuchi, Yoshitomo Akimoto, Kazuyuki Koizumi
Experience of distance education for project-based learning in data science. Japanese journal of statistics and data science 5 (2) (2022)
Kanae Togo, Naohiro Yonemoto
Real world data and data science in medical research: present and future. Japanese journal of statistics and data science 5 (2) (2022)
Ahmad Al Saber, Parul Setiya, Ahmad T Al-Sultan, Jiazhu Pan
Correction to: Exploring the impact of air pollution on COVID-19 admitted cases: Evidence from vector error correction model (VECM) approach in explaining the relationship between air pollutants towards COVID-19 cases in Kuwait. Japanese journal of statistics and data science 5 (2) (2022)
Manabu Iwasaki
Special feature: data science-present and future. Japanese journal of statistics and data science 5 (2) (2022)

volume 5, number 1, 2021

Jitendra Kumar, Varun Agiwal, Chun Yip Yau
Study of the trend pattern of COVID-19 using spline-based time series model: a Bayesian paradigm. Japanese journal of statistics and data science 5 (1) (2021)

volume 4, number 1, 2021

Stefano Maria Iacus, Francesco Sermi, Spyridon Spyratos, Dario Tarchi, Michele Vespe
Anomaly detection of mobile positioning data with applications to COVID-19 situational awareness. Japanese journal of statistics and data science 4 (1) (2021)
Hiroki Masuda
Special feature: statistics for high-frequency data. Japanese journal of statistics and data science 4 (1) (2021)
Krzysztof Bartoszek, Wojciech Bartoszek, Michał Krzemiński
Simple SIR models with Markovian control. Japanese journal of statistics and data science 4 (1) (2021)

volume 4, number 2, 2020

Chien-Lin Su, Feng-Chang Lin
Analysis of cyclic recurrent event data with multiple event types. Japanese journal of statistics and data science 4 (2) (2020)

volume 3, number 1, 2020

T Stough, N Cressie, E L Kang, A M Michalak, K Sahr
Spatial analysis and visualization of global data on multi-resolution hexagonal grids. Japanese journal of statistics and data science 3 (1) (2020)

volume 3, number 2, 2020

Hiroshi Saigo
Special feature: theory and practice of surveys. Japanese journal of statistics and data science 3 (2) (2020)