中北誠 (Makoto Nakakita) - マイポータル

基本情報

ORCID iD: https://orcid.org/0000-0002-0077-0430
J-GLOBAL ID: 202401015826700117
researchmap会員ID: R000077478

論文

An analytical study of worker well-being and COVID-19 impact using Bayesian panel modeling

Makoto Nakakita, Tomoki Toyabe, Naoki Kubota, Wakuo Saito, Teruo Nakatsuma

Healthcare Analytics 2025年12月
Bayesian Analysis of Bitcoin Volatility Using Minute-by-Minute Data and Flexible Stochastic Volatility Models

Makoto Nakakita, Tomoki Toyabe, Teruo Nakatsuma

Mathematics 2025年8月21日
Relationships Between Self-Esteem and Personal Attributes, Income, Consumption, and Assets: Japanese Panel Study

Makoto Nakakita, Sakae Oya, Naoki Kubota, Tomoki Toyabe, Teruo Nakatsuma

European Journal of Investigation in Health, Psychology and Education 2025年5月
Panel Data Analysis of Socioeconomic Factors and COVID-19’s Impact on Drinking Habits: Evidence from a Japanese Survey

Makoto Nakakita, Naoki Kubota, Tomoki Toyabe, Sakae Oya, Teruo Nakatsuma

International Journal of Environmental Research and Public Health 2025年4月23日
Analysis of the trading interval duration for the Bitcoin market using high-frequency transaction data

Makoto Nakakita, Center for Advanced Intelligence Project, RIKEN, Nihonbashi 1-Chome Mitsui Building, 15th Floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, Japan, Teruo Nakatsuma, Faculty of Economics, Keio University, 2-15-45 Mita, Minato-ku, Tokyo, Japan

Quantitative Finance and Economics 9(1) 2025年
A hierarchical Bayesian approach for identifying socioeconomic factors influencing self-rated health in Japan

Makoto Nakakita, Teruo Nakatsuma

Healthcare Analytics 2024年12月
Comparative Analysis of Japanese Rice Wine Export Trends: Large Firms in the Nada Region vs. SMEs in Other Regions

Wakuo Saito, Makoto Nakakita, Teruo Nakatsuma

World 2024年8月
Hierarchical Bayesian analysis of racehorse running ability and jockey skills

M. Nakakita, T. Nakatsuma

International Journal of Computer Science in Sport 2023年8月1日
Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors

Makoto Nakakita, Teruo Nakatsuma

Journal of Risk and Financial Management 2021年3月29日

共同研究・競争的資金等の研究課題

数値的統計分析の推定精度改善と計算処理効率化のためのアルゴリズムの開発

日本学術振興会科学研究費助成事業研究活動スタート支援 2023年8月 - 2025年3月

中北誠