Simulation-based Inference: Materials for Japanese Translation of Two New Lectures
(Presented in Japanese) at 2024 Science, Mathematics, Statistics, and Data Science Instructor Workshop -- 2024年理数系教員統計・データサイエンス 授業力向上研修集会, Sendai, Japan
CV Summary
Education
- Ph.D. in Statistics, North Carolina State University, 2003
- M.S. in Statistics, North Carolina State University, 1998
- B.A. in Mathematics (Pure Option), Calif. State Univ. Northridge, 1995
- Minor: Biology, Chemistry, Japanese
Work experience
- 2024 – Present: Visiting Professor, Edogawa University
- Faculty of Media Communication, Department of Information Culture
- 2018 – Present: Lecturer, Rikkyo University
- Center for Statistics and Information
- 2014 – Present: Professor, Calif. Polytechnic State University, San Luis Obispo
- Statistics Department
- 2009 – 2014: Associate Professor, Calif. Polytechnic State University, San Luis Obispo
- Statistics Department
- 2003 – 2009: Assistant Professor, Calif. Polytechnic State University, San Luis Obispo
- Statistics Department
Selected Publications
- Doi, J. (2024) 多様性、公平性、包摂性（DEI）：アメリカ統計学会および米国大学からのイニシアティブとガイドライン, Estrela (362), 24-29, 2024-05
- エストレーラ・ウエブサイト – Estrela Website
- English Version: Doi, J. (2024) “Diversity, Equity, Inclusivity (DEI): Initiatives and Resources from the American Statistical Association and US Universities,” Estrela (362), 24-29, 2024-05. [Download]
- Doi, J., Holladay, B., and Schilling, M. (2024) “Improved Interval Estimation of Negative Binomial Parameters: A Coverage Probability Approach,” Journal of Statistical Computation and Simulation, 94:1, 126-141
- Doi, J., Watanabe, M., Hashimoto, M., Nakajima, Y., Chance, B., McGaughey, K., Roy, S., Tintle, N., Vanderstoep, J. (2024) シミュレーションに基づく統計的推測のための教材と授業実践, (In review)
- English Version: Doi, J., Watanabe, M., Hashimoto, M., Nakajima, Y., Chance, B., McGaughey, K., Roy, S., Tintle, N., Vanderstoep, J. (2024) “Teaching Materials and Classroom Practice for Simulation-Based Statistical Inference,” (In review) [Download]
Doi, J. (2019) “Hypothesis Testing via Simulation,” Informatio, 16, 97-116.
- ドイ・ジミー（2019年）シミュレーションに基づく統計的推論とアクティブ・ラーニングの授業事例・日本数学教育学会誌第101巻第３号
- [ウエブサイト] [ダウンロード]
- English Version: Doi, J. (2019) “Lecture Examples using Simulation-Based Inference and Active Learning,” Journal of Japan Society of Mathematical Education, 101(3), 28–39. [Download]
- Doi, J., Potter, G., Wong, J., Alcaraz, I., and Chi, P. (2016) “Web Application Teaching Tools for Statistics Using R and Shiny,” Technology Innovations in Statistics Education, 9(1).
- Devore, J., Farnum, N., and Doi, J. (2014). “Applied Statistics for Engineers and Scientists,” 3rd ed. Belmont, CA: Cengage. ISBN-10: 113311136X
- Schilling, M. and Doi, J. (2014) “A Coverage Probability Approach to Finding an Optimal Binomial Confidence Procedure,” The American Statistician, 68:3, 133-145
Berner, L., Becker, G., Wise, M., and Doi, J. (2013) “Characterization of Dietary Protein among Older Adults in the United States: Amount, Animal Sources, and Meal Patterns,” Journal of the Academy of Nutrition and Dietetics, 113, 809-815.
Ohyama, T., Doi, J., and Yanagawa, T. (2008) “Estimating Population Characteristics by Incorporating Prior Values in Strati ed Random Sampling/Ranked Set Sampling,” Journal of Statistical Planning and Inference, 138, 4021-4032.
- Curtzwiler, G, Singh, J., Miltz, J., Doi, J., and Vorst, K. (2008) “Characterization and Compression Properties of Injection Molded Carbon Nanotube Composites,” Journal of Applied Polymer Science, 109, 218-225.
Selected Talks and Presentations
ChatGPT in Statistics & Data Science Education: Examples from US Universities
(Presented in Japanese) at 2024 Science, Mathematics, Statistics, and Data Science Instructor Workshop -- 2024年理数系教員統計・データサイエンス 授業力向上研修集会, Sendai, Japan
ChatGPT in Statistics & Data Science Education: Examples from US Universities
(Presented in English) at Video Presentation, Zoom, Online
Simulation-based Inference, Benford’s Law, Longest Run, Chaos Theory, and Applications in Shiny
(Presented in Japanese) at Edogawa University, Chiba, Japan
ChatGPT in Statistics & Data Science Education: Examples from US Universities
(Presented in Japanese) at Edogawa University, Chiba, Japan
ChatGPT in Statistics & Data Science Education: Examples from US Universities
(Presented in Japanese) at University of Tokyo, Komaba Campus, Tokyo, Japan
ChatGPT in Statistics & Data Science Education: Examples from US Universities
(Presented in Japanese) at Rikkyo University, Tokyo, Japan
Simulation-based Inference and Active Learning Teaching Resources from the STUB Network
(Presented in Japanese) at Edogawa University, Chiba, Japan
Simulation-based Inference: STUB Network Example of Matched Pairs
(Presented in Japanese) at Maebashi Super Science High School -- 群馬県立前橋高校, Maebashi, Japan
Simulation-based Inference: STUB Network Example of Two Independent Samples
(Presented in Japanese) at Hiroshima University Super Science High School -- 広島大学附属中・高等学校 , Hiroshima, Japan
Diversity, Equity, Inclusivity (DEI) at ASA and Various US Universities
(Video Presentation) at 2023 Japanese Joint Statistical Meeting -- 2023年度統計関連学会連合⼤会, Kyoto, Japan
Diversity, Equity, Inclusivity (DEI) at ASA and Various US Universities
(Video Presentation) at 17th Spring Meeting of the Japan Statistical Society -- 第17回日本統計学会春季集会, Tokyo, Japan
Simulation-based Inference, Benford’s Law, Longest Run, Chaos Theory, and Applications in Shiny
(Presented in Japanese) at Maebashi Super Science High School -- 群馬県立前橋高校, Maebashi, Japan
Statistics/Probability Education and DEI (Diversity, Equity, Inclusivity)
(Presented in Japanese) at Rikkyo University, Tokyo, Japan
Statistics/Probability Education and DEI (Diversity, Equity, Inclusivity)
(Presented in Japanese) at Edogawa University, Chiba, Japan
Confidence Intervals for the Binomial Proportion
(Presented in Japanese) at Tokyo University of Science, Tokyo, Japan
Simulation-based Inference, Benford’s Law, Longest Run, Chaos Theory, and Applications in Shiny
(Presented in Japanese) at Kobe University Super Science High School -- 神戸大学附属中等教育学校 , Kobe, Japan
Simulation-based Inference, Benford’s Law, Longest Run, Chaos Theory, and Applications in Shiny
(Presented in Japanese) at Hiroshima University Super Science High School -- 広島大学附属中・高等学校 , Hiroshima, Japan
Teaching
- Cal Poly SLO
- STAT 130: Introduction to Statistical Reasoning
- STAT 150: Introduction to Statistical Investigations
- STAT 217: Introduction to Statistical Concepts and Methods
- STAT 218: Applied Statistics for the Life Sciences
- STAT 312: Statistical Methods for Engineers
- STAT 321: Probability and Statistics for Engineers and Scientists
- STAT 322: Statistical Analysis for Engineers and Scientists
- STAT 324: Applied Regression Analysis
- STAT 330: Statistical Computing I: SAS
- STAT 418: Categorical Data Analysis
- STAT 419: Applied Multivariate Statistics
- Rikkyo University
- FB 146: Introduction to Statistics 1
- FB 147: Introduction to Statistics 2
Web Applications
- Shiny Apps
- Benford’s Law: Data Examples (Source Files - GitHub Gist)
- Benford’s Law: Sequences (Source Files - GitHub Gist)
- Chaos Game: Two Dimensions (Source Files - GitHub Gist)
- Chaos Game: Three Dimensions (Source Files - GitHub Gist)
- LCO Confidence Interval Generator (Source Files - GitHub Gist)
- Longest Run of Heads or Tails (Source Files - GitHub Gist)
- Cal Poly Statistics Dept. Shiny Collection