作村 建紀

法政大学 理工学部 経営システム工学科 専任講師 / English

Google Scholar / researchmap / ORCID / Scopus / Web of Science / DBLP 1 / DBLP 2 / KAKEN

学術論文 / 国際会議論文 / 書籍 / 報告書

学術論文（査読付き）

  1. Ko Abe, Takenori Sakumura (2026) “Empirical Joint Estimation for Incubation Period and Infection under the Doubly Interval-Censored with Right Truncated Observation,” Journal of Computational and Graphical Statistics. [DOI]
  2. 今泉智子，作村建紀，岡田謙介 (2026) 「密度比に基づいた Haebara 法の拡張等化手法」 大学入試研究ジャーナル, 36, 114–121.
  3. Takenori Sakumura, Takemi Yanagimoto (2025) “Optimal Bayesian estimator under the reference prior in the von Mises distribution,” Communications in Statistics-Simulation and Computation, 1–13, (Online First). [DOI]
  4. Takenori Sakumura, Takemi Yanagimoto (2025) “Bayesian Estimation under the Conjugate-Gamma Prior for the Weibull Distribution,” Proceedings of the Institute of Statistical Mathematics, 73, 253–266, (in Japanese).
  5. Takenori Sakumura, Takemi Yanagimoto (2024) “Very Small Bias Observed in Bayesian Estimators even for Small Sample Sizes,” Communications in Statistics - Simulation and Computation, 53(11), 5594–5604. [DOI]
  6. Ko Abe, Satoshi Ikada, Takenori Sakumura, Toshinari Kamakura (2024) “Demand Forecasting of Expendable Parts Considering the Number of Units in Operation,” Bulletin of the Computational Statistics of Japan, 36(2), 83–97, (in japanese). [DOI]
  7. Ko Abe, Yukina Satoh, Takenori Sakumura, Toshinari Kamakura (2020) “Analysis of Visit Intervals Using Weibull Regression Considering Latent Dropout,” Bulletin of the Computational Statistics of Japan, 33(1), 1-9, (in Japanese). [DOI]
  8. Ko Abe, Y. Takahashi, H. Arai, T. Kanno, K. Kitazawa, S. Komatsubara, Y. Sone, S. Izumiya, A. Yoshida, T. Nagai, Yoshitomo Akimoto, Takenori Sakumura, Toshinari Kamakura (2018) “The Analysis of Customer Purchase Data using Proportional Hazard Type Mixture Model,” Bulletin of the Computational Statistics of Japan, 31(1), 37-47, (in Japanese). [DOI]
  9. Atsushi Yoshida, Takenori Sakumura, Toshinari Kamakura (2018) “Indoor Location Estimation Based on TOA Data and Bias Estimation Using Gamma Regression,” Journal of the Japanese Society of Computational Statistics, 30(2), 13-21. [DOI]
  10. Takenori Sakumura, Toshinari Kamakura (2017) “Proposal of a Modulated Extended Cumulative Exposure Model for the Step-Up Voltage Test,” Transactions on Engineering Technologies, 349–363. [DOI]
  11. Ko Abe, Takenori Sakumura, Toshinari Kamakura (2017) “Measurements of Baseball Players' Batting Abilities,” Proceedings of the Institute of Statistical Mathematics, 65(2), 235-249, (in Japanese). [Link]
  12. Takenori Sakumura, Hideo Hirose (2017) “A Bias Reduction Method for Ability Estimates in Adaptive Online IRT Testing Systems,” International Journal of Smart Computing and Artificial Intelligence, International Institute of Applied Informatics, 1(1), 59-72. [DOI]
  13. Yoshitomo Akimoto, Takenori Sakumura, Toshinari Kamakura (2016) “Testing for Uniformity of Line Segments,” IAENG International Journal of Computer Science, 43(2), 192-197. [Link]
  14. Hideo Hirose, M. Tokunaga, Takenori Sakumura, Junaida Sulaiman, H. Darwis (2015) “Matrix Approach for the Seasonal Infectious Disease Spread Prediction,” IEICE Transactions on Fundamentals, E98-A(10), 2010-2017. [DOI]
  15. Hideo Hirose, Takenori Sakumura, Naoki Tabuchi (2015) “Optimum and semi-optimum life test plans of electrical insulation for thermal stress,” IEEE Transactions on Dielectrics and Electrical Insulation, 22(1), 488-494. [DOI]
  16. Hideo Hirose, Takenori Sakumura (2015) “Foundation of mathematical deterioration models for the thermal stress,” IEEE Transactions on Dielectrics and Electrical Insulation, 22(1), 482-487. [DOI]
  17. Takenori Sakumura, Masakazu Tokunaga, Hideo Hirose (2014) “Making up the Complete Matrix from the Incomplete Matrix Using the EM-type IRT and Its Application,” The Information Processing Society of Japan: Transactions on Mathematical Modeling and its Applications (TOM), 7(2), 17-26, (in Japanese). [Link]
  18. Hideo Hirose, Takenori Sakumura, Takayuki Kuwahata (2014) “Score allotment optimization method with application to comparison of ability evaluation in testing between classical test theory and item response theory,” Information, 17(2), 391-410. [Link]
  19. Hideo Hirose, Takenori Sakumura (2012) “The Extended Cumulative Exposure Model (ECEM) and Its Application to Oil Insulation Tests,” IEEE Transactions on Reliability, 61(3), 625-633. [DOI]
  20. Hideo Hirose, Kazuhiro Matsuguma, Takenori Sakumura (2011) “Infectious Disease Spread Prediction Models and Consideration,” The Information Processing Society of Japan, Transactions on Mathematical Modeling and its Applications (TOM), 4(3), 102-109. [Link]
  21. Takenori Sakumura, Hideo Hirose (2010) “Test Evaluation System via the Web using the Item Response Theory,” Information, 13(3), 647–656. [Link]

国際会議論文（査読付き）

  1. *T. Sakumura, H. Hirose, “Bias Reduction of Abilities for Adaptive Online IRT Testing Systems,” 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI 2016), Pages 450-455, 5th International Conference on Learning Technologies and Learning Environments (LTLE2016), Kumamoto, Japan, 10-14 July, 2016 Abstract Peer-Reviewed / Oral.
  2. *A. Yoshida, T. Sakumura, T. Kamakura, “Indoor Location Estimation Based on ToA Data and Bias Estimation Using Gamma Regression,” Proceedings of the 2015 International Workshop for JSCS 30th Anniversary in Okinawa, Pages 17-18, Okinawa Institute of Science and Technology Graduate University (OIST), Japan, 30-31 October, 2015 Abstract Peer-Reviewed / Oral.
  3. *T. Sakumura, T. Kamakura, “Modulated Extended Cumulative Exposure Model with Application to the Step-Up Voltage Test,” Proceedings of World Congress on Engineering and Computer Science 2015 (WCECS 2015), International Association of Engineers (IAENG), Volume 1, Pages 255-260, International Conference on Electrical Engineering and Applications 2015 (ICEEA 2015), San Francisco, USA, 21-23 October, 2015 Abstract Peer-Reviewed / Oral.
  4. *Y. Akimoto, T. Sakumura, T. Kamakura, “Directional Data Analysis for Line Segments,” Proceedings of World Congress on Engineering and Computer Science 2015 (WCECS 2015), International Association of Engineers (IAENG), Volume 2, Pages 770-775, International Conference on Machine Learning and Data Analysis 2015 (ICMLDA 2015), San Francisco, USA, 21-23 October, 2015, Abstract Peer-Reviewed / Oral.
  5. *T. Kamakura, T. Sakumura, “Property of LM Tests for reliability distributions in case of small samples,” Proceedings of the International Workshop on Applied Methods of Statistical Analysis. Nonparametric Approach (AMSA 2015), Pages 200-207, Novosibirsk, Russia, 14-19 September 2015, Abstract Peer-Reviewed / Oral.
  6. *T. Kamakura, T. Sakumura, “Likelihood-based Inference for Weibull Distribution,” Proceedings of the 9th International Conference on Mathematical Methods in Reliability (MMR 2015), Pages 855-862, Bunkyo School Building in Tokyo Campus of University of Tsukuba, Japan, 1-4 June 2015, Abstract Peer-Reviewed / Oral.
  7. H. Hirose, M. Tokunaga, T. Sakumura, J. Sulaiman, *H. Darwis, “Matrix Approach For The Seasonal Infectious Disease Spread Prediction,” 6th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM 2014), Pages 145-151, Hokkai Gakuen University in Sapporo, Hokkaido, Japan, 21-23 August 2014, Abstract Peer-Reviewed / Oral.
  8. H. Hirose, T. Sakumura, *N. Tabuchi, T. Kiyosue, “Optimum Life Test Plans of Electrical Insulation for Thermal Stress,” The 2014 IAENG International Conference on Electrical Engineering (ICEE'14), Pages 668-672, The Royal Garden Hotel, Kowloon, Hong Kong, 12-14 March 2014, Abstract Peer-Reviewed / Oral, Best Paper Award of The 2014 IAENG International Conference on Electrical Engineering (ICEE’14).
  9. H. Hirose, T. Nakazono, *M. Tokunaga, T. Sakumura, S.M. Sumi, J. Sulaiman, “Seasonal Infectious Disease Spread Prediction Using Matrix Decomposition Method,” ISMS ’13 Proceedings of the 2013 4th International Conference on Intelligent Systems, Modelling and Simulation, Pages 121-126, Bangkok, Thailand, 29-31 Jan. 2013, Abstract Peer-Reviewed / Oral.
  10. H. Hirose, *T. Sakumura, “Item Response Prediction for Incomplete Response Matrix Using the EM-type Item Response Theory with Application to Adaptive Online Ability Evaluation System,” Proceeding of IEEE International Conference on Teaching, Assessment, and Learning for Engineering 2012 (TALE 2012), Pages 8-12, The Hong Kong Polytechnic University, Hong Kong, August 20-23, 2012, Abstract Peer-Reviewed / Oral.
  11. *T. Sakumura, T. Kuwahata, H. Hirose, “An Adaptive Online Ability Evaluation System Using the Item Response Theory,” Education & e-Learning (EeL 2011), Pages 51-54, Singapore, 7-8 November 2011, Abstract Peer-Reviewed / Oral.
  12. *T. Sakumura, H. Hirose, “Student Ability Evaluation using the Stress-Strength Model When Ability is the Random Variable,” Proceedings of the 2010 International Congress on Computer Applications and Computational Science (CACS 2010), Pages 865-868, Singapore, December 2010, Abstract Peer-Reviewed / Oral.
  13. *H. Hirose, T. Sakumura, “An Accurate Ability Evaluation Method for Every Student with Small Problem Items Using The Item Response Theory,” Proceedings of the International Conference on Computer and Advanced TEchnology in Education (CATE 2010), Pages 152-158, Maui, Hawaii, USA, August 23-25, 2010, Abstract Peer-Reviewed / Oral, CATE2010 Awarded the Best Paper.
  14. *T. Sakumura, H. Hirose, “Test Evaluation System via Web using the Item Response Theory,” The Fifth International Conference on Information (INFO 2009), Pages 112-115, Kyoto University, Kyoto, Japan, November 6-9, 2009, Abstract Peer-Reviewed / Oral.

書籍

  1. Lovric, M. （編集）, 日本統計学会（翻訳） (2018) “統計科学百科事典,” 丸善出版, ISBN: 978-4-621-30310-8. 担当箇所: 「確率論・統計学におけるネットワークモデル」・「ネットワーク・サンプリング」

報告書

  1. 作村建紀 ほか, “ベータ二項モデルを用いた打撃の好不調の分析,” 統計数理研究所共同研究リポート 336, スポーツデータ解析における理論と事例に関する研究集会, 2015年12月.
  2. 作村建紀 ほか, “Dynamic Time Warping を用いた FC 東京のパスデータ解析,” 統計数理研究所共同研究リポート 334, スポーツデータ解析における理論と事例に関する研究集会, 2015年12月.
  3. 作村建紀 ほか, “外野手の空間データを用いた戦略分析,” 統計数理研究所共同研究リポート 334, スポーツデータ解析における理論と事例に関する研究集会, Vol. 2, pp. 9–16, 2015年3月.
  4. 作村建紀 ほか, “パスデータを使ったチームの守備の効果分析,” 統計数理研究所共同研究リポート 334, スポーツデータ解析における理論と事例に関する研究集会, Vol. 2, pp. 1–8, 2015年3月.

back to top of page