Books

• Mori. Y., Kuroda, M., Makino, N. (2017). Nonlinear Principal Component Analysis and Its Applications. JSS Research Series in Statistics, Springer.
  
  
• Gentle, J.E., Härdle, W. and Mori, Y.  (eds). (2012). Handbook of Computational Statistics -Concepts and Methods- (2nd ed.) Revised and updated. Springer.
  
  
• Härdle, W., Mori, Y. and Vieu, P. (Eds.). (2006). Statistical Methods for Biostatistics and Related Fields. Springer.
  
  
• Gentle, J.E., Härdle, W. and Mori, Y.  (eds). (2004). Handbook of Computational Statistics -Concepts and Methods-. Springer-Verlag, Heidelberg.
  
  

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• Nakagawa, S., Mori, Y., Kuroda, M., Yanagi, K., Yasuda, T., Ohkuma, K., Ono, M. (2024.9). Data Literacy. Gakujutsu Tosho Shuppan-sha Co.,Ltd. (978-4-7806-1288-2), Tokyo, 192 pages (in Japanese).
  
  
• Mori, Y., Kuroda, M., Adachi, K.（2017.9）. Least Squares and Aternating Least Squares (Statistics One Point series 3). Kyoritsu Shuppan（978-4-320-11254-4）, 120pages. (in Japanese)
  Support Page (corrections）
  
  
  

Translation

• Gorroochurn, P. (2025). Classic Topics on the History of Modern Mathematical Statistics: From Laplace to More Recent Times. Translated by T. Kamakura, Y. Tanaka, Y. Mori, H. Yadohisa. Kyoritsu Shuppan, Tokyo. ISBN: 9784320115781. (in Japanese).
  
  
• Tarumi, T., Kamakura, T., Mori, Y., Nakano, J., Yamamoto, Y. and Yadohisa, H. (translators)(2002). Japanese translated version of XploRe: Application Guide (by W. Härdle, Z. Hlávka, S. Klinke). Kyoritsu-Shuppan, Tokyo. (in Japanese)
  
  
• Tamrumi, T., Ochi, y., Mizuta, M., Mori, Y. and Yamamoto, Y. (translators) (2002.2). Japanese translated version of Programming with Data (by Jhon M. Chambers). Morikita-Shuppan, Tokyo, 500pp. (in Japanese)
  
  
• Tarumi, T., Mori, Y., Yamamoto, Y. Nakano, J. and Yadohisa, H. (translators) (2001.7). Japanese translated version of  XploRe: Learning Guide (by W.Härdle, S.Klinke and M.Müller). KYoritsu-Shuppan, TOkyo, 500pp. (in Japanese)
  
  

Papers

1. Kuroda, M., Mori, Y., IIzuka, M. (2022). Speeding up the convergence of the alternating least squares algorithm using vector ε acceleration and restarting for nonlinear principal component analysis, Computational Statistics, Springer. DOI: 10.1007/s00180-022-01225-4..
2. Kuroda, M., Mori, Y., IIzuka, M.(2020). Initial Value Selection for the Alternating Least Squares Algorithm, In Advanced Studies in Classification and Data Science (Imaizumi, T. et.al. (Eds),  ISBN 978-981-15-3311-2), 227-239, Springer. doi: 10.1007/978-981-15-3311-2.
3. Kuroda, M., Mori, Y., Iizuka, M. and Sakakihara, M. (2013). Alternating least squares in nonlinear principal components. Wiley Interdisciplinary Reviews: Computational Statistics, 2013, 5:456–464. doi: 10.1002/wics.1279.
4. Kuroda, M., Mori, Y., Iizuka, M. and Sakakihara, M. (2012). Acceleration of convergence of the alternating least squares algorithm for nonlinear principal components analysis. Principal Component Analysis (Sanguansat, P. (Ed.)),  IntechOpen. doi: 10.5772/37539.
5. Härdle, W. K., Mori, Y. and Symanzik, J. (2012). Computational Statistics (Journal). Wiley Interdisciplinary Reviews: Computational Statistics, 334–339, Wiley. DOI: 10.1002/wics.1206.
6. Kuroda, M., Mori, Y., Izuka, M. and Sakakihara, M. (2011). Acceleration of the alternating least squares algorithm for principal components analysis. Computational Statistics and Data Analysis, 55(1), 143-153, Elsevier Science. DOI: 10.1016/j.csda.2010.06.001.
7. Fueda, K., Iizuka, M. and Mori, Y. (2009). Variable selection in multivariate methods using global score estimation. Computational Statistics, 24, 127-144, Springer.
8. Mori, Y., Yamamoto, Y., Yadohisa, H. and Honda, K. (2007). Data-oriented Statistical System for Teaching and Learning Statistics. Japanese Journal of of The Japan Statistical Society, 36(2), 327-347. (in Japanese)
9. Mori, Y., Iizuka, M., Tanaka, Y. and Tarumi, T. (2006). Variable Selection in Principal Component Analysis. Härdle, W., Mori, Y. and Vieu, P. (eds), Statistical Methods for Biostatistics and Related Fields, 265-283, Springer.
10. 飯塚誠也, 森　裕一, 垂水共之, 田中 豊  (2004). 拡張主成分分析の性能の評価. 日本計算機統計学会「計算機統計学」, 16(2), 97-108. (in Japanese)
11. Tanaka, Y., Zhang, F. and Mori, Y. (2003). Local influence in principal component analysis: relationship between the local influence and influence function approaches revisited. Computational Statistics and Data Analysis, 44: 143-160, Elsevier Science.
12. Iizuka, M., Mori, Y., Tarumi, T. and Tanaka, Y. (2003). Computer intensive trials to determine the number of variables in PCA. Journal of the Japanese Society of Computational Statistics: Special Issue of ICNCB, 14(2): 337-345.
13. Mori, Y., Watadani, S., Yamamoto, Y., Tarumi, T. and Tanaka, Y. (2002). Statistical software SAMMIF for sensitivity analysis in multivariate methods. Nishisato, Y., Baba, H., Bozdogan, H., Kanefuji, K. (eds), Measurement and Multivariate Analysis, 279-288, Springer-Tokyo.
14. 飯塚誠也, 森　裕一, 垂水共之, 田中 豊 (2001). 主成分分析における変数選択プログラムのWWWへの実装. 文部科学省統計数理研究所「統計数理」, 49(2): 277-292. (in Japanese)
15. 森 裕一, 垂水共之, 田中 豊 (1999). 変数の一部に基づく主成分分析: 変数選択手法の数値的検討. 日本計算機統計学会「計算機統計学」, 11(1): 1-12. (in Japanese)
16. 森　裕一, 山本義郎, 渡谷真吾, 尾高好政, 垂水共之, 田中　豊 (1998). 感度分析プログラム SAMMIF. 日本計算機統計学会「計算機統計学」, 10(2): 145-152. (in Japanese)
17. Mori, Y., Tanaka, Y. and Tarumi, T. (1997). Principal component analysis based on a subset of variables for qualitative data. Data Science, Classification, and Related Methods (Proceedings of IFCS-96), 547-554, Springer-Verlag.
18. Tanaka, Y. and Mori, Y. (1997). Principal component analysis based on a subset of variables: Variable selection and sensitivity analysis. The American Journal of Mathematical and Management Sciences, 17(1&2): 61-89.

Editorial

1. Symanzik, J., Mori, Y., Vieu, P. (2024). A memorial for the late Professor Friedrich Leisch, Computational Statistics, 39(7), 3485 - 3492, Springer.
2. Mori, Y., Herwartz, H., Symanzik, J. (2013). A memorial for the Late Professor Wolfgang Polasek, Computational Statistics, 28(4), 1383–1384, Springer.

Proceedings of International Meetings (Full papers / Invited papers)

1. Kuroda, M., Mori, Y. (2024). Bayesian approach to mixture models with missing data, Eastern Asia Chapter of International Society for Bayesian Analysis conference 2024 (EAC-ISBA Conference 2024). The Education University of Hong Kong, Hong Kong.
2. Akaki,T., Mori,Y., Kuroda, M., Iizuka, M. (2023). Acceleration and quantification with dimension reduction in fuzzy clustering. Statistical Computing And Robust Inference For High Dimensional Data (SCRI2023), Academia Sinica, taipei, Taiwan.
3. Mori,Y., Akaki,T., Kuroda, M. (2022). Acceleration of Computation in Fuzzy Clustering. The IASC-ARS Interim Conference 2022. Virtually at The Education University of Hong Kong (Online).
4. Yoshioka, M., Kuroda, M., Mori, Y. (2018). Computational efficiency for fuzzy clustering. The 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2018). 
5. Kuroda, M., Mori, Y., Iizuka, M. (2017). Improvement of Computation for Nonlinear Multivariate Methods. The 10th Conference of the IASC-ARS/68th Annual NZSA Conference. 
6. Kuroda, M., Mori, Y., Iizuka, M., Iizuka, M. (2017). Initial value selection for the alternating least squares algorithm. Conference of the International Federation of Classification Societies 2017.
7. Kuroda, M., Mori, Y., Iizuka, M. and Sakakihara, M. (2016). Acceleration of convergence of the alternating least squares algorithm for mixed measurement level multivariate data, The 10th International Chinese Statistical Association (ICSA) International Conference.
8. Katayama, H., Asahara, H., Mizutani, N., Kuroda, M. and Mori, Y. (2016). Interactive Statistical Analysis for Item Response Theory using Shiny. 2016 International Conference for JSCS 30th Anniversary in Seattle. 
9. Sakakihara, Kuroda, M., Mori, Y., M., Iizuka, M. (2016). Acceleration of iterative methods for Nonnegative Matrix Factorization. Book of abstracts of COMPSTAT2016, 2.
10. Mori, Y., Kuroda, M., Sakakihara, M., Iizuka, M. (2015). Acceleration of the alternating least squares algorithm for nonlinear multivariate analyses.  The 9th Conference of the Asian Regional Section of the IASC (IASC-ARS 2015).
11. Sakakihara, M., Kuroda, M., Mori, Y., Iizuka, M. (2015). On acceleration methods for Alternating Least Squares algorithm.  Conferences of the International Federation of Classification Societies 2015. 
12. Mori, M., Kuroda, M., Izuka, M. and Sakakihara, Y. (2014). Performance of acceleration of ALS algorithm in nonlinear PCA. Proceedings of COMPSTAT 2014 (ISBN 978-2-8399-1347-8, CD-ROM), 257-263.
13. Kuroda, M., Mori, Y., Izuka, M. and Sakakihara, M. (2013). Accelerating and re-starting the alternating least squares algorithm for non-linear principal components analysis. Proceedings of the 59th World Statistics Congress (ISI2013), 5426-5431. (http://2013.isiproceedings.org/Files/CPS203-P14-S.pdf) 
14. Kuroda, M., Sakakihara, M.. Mori, Y. and Izuka, M.  (2012). Two-stage acceleration for non-linear PCA. Proceedings of COMPSTAT 2012, 461-471.
15. Kuroda, M., Mori, Y., Izuka, M. and Sakakihara, M. (2011). Principal components based on a subset of qualitative variables and its accelerated computational algorithm. Invited Paper Session 42, The 58th World Statistics Congress of the International Statistical Institute (ISI2011), Dublin, Ireland. (Invited paper)
16. Mori, M., Tanaka, Y., Iizuka, M.and Fueda, K. (2008). Principal Components based on a Subset of Variables. The Joint Meeting of 4th World Conference of the IASC and 6th Conference of the Asian Regional Section of the IASC on Computational Statistics & Data Analysis. (Invited paper)
17. Yamamoto, Y., Mori, Y,. Yadohisa, H. and Fujino, T. (2008) A system providing statistical contents for e-leaning. Invite Session in ISBIS-2008 International Symposium on Business and Industrial Statistics, Book of Abstract, 80.
18. Mori, Y., Iizuka, M., Fueda, K., Tarumi, T. and Tanaka, Y. (2005). Variable Selection in Multivariate Methods without External Variables. The 5th IASC Asian Conference on Statistical Computing. (Invited paper)
19. Honda, K., Mori, Y., Yamamoto, Y. and Yadohisa, H. (2004). Web-Based Analysis System in Data-oriented Statistical System "DoSS@d". In: Antoch, J (ed), COMPSTAT2004 Proceedings in Computational Statistics, 1209-1216, Phisica-Verlag.
20. Mori, Y., Fueda, K. and Iizuka, M. (2004). Orthogonal score estimation with variable selection in multivariate methods. In: Antoch, J (ed), COMPSTAT2004 Proceedings in Computational Statistics, 1527-1534, Phisica-Verlag.
21. Mori, Y., Fujino, T., Yamamoto, Y, Kubota, T and Tarumi, T. (2004). XML-based Applications in Statistical Analysis. Proceedings of Interface 2004: Computational Biology and Bioinformatics, 36th Symposium on the Interface (CD-ROM). (Invited paper)
22. Mori,Y., Yamamoto, Y. and Yadohisa, H. (2003). Data-oriented Learning System of Statistics based on Analysis Scenario/Story (DoLStat). Bulletin of the International Statistical Institute, 54th Session Invited Papers, Volume LX Two Books, Book 2, 74-77. (Invited paper)
23. Iizuka, M., Mori, Y., Tarumi, T. and Tanaka, Y. (2002). Statistical software VASMM for variable selection in multivariate methods. In Härdle, W. and Rönz, B. (eds), COMPSTAT2002 Proceedings in Computational Statistics, 563-568, Physica-Verlag.
24. Mori,Y., Watadani,S., Yamamoto,Y., Tarumi,T. and Tanaka,Y. (2000). Statistical software SAMMIF for sensitivity analysis in multivariate methods. Proceedings of International Conference on Measurement and Multivariate Analysis, Vol.2, 147-151.
25. Mori, Y.,Watadani, S.,Tarumi, T. and Tanaka, Y. (1998). Development of statistical software SAMMIF for sensitivity analysis in multivariate methods. In Payne, R and Green, P. (eds), COMPSTAT98 Proceedings in Computational Statistics, 395-400, Physica-Verlag.
26. Mori, Y., Tanaka, Y. and Tarumi, T. (1996). Qualitative principal component analysis based on a subset of variables. Fifth Conference of International Federation of Classification Societies, Vol.2, 131-134.
    • PowerPoint
27. Tanaka, Y. and Mori, Y. (1995). Principal component analysis based on a subset of variables and its application. International Conference on Statistical Methods and Statistical Computing for Quality and Productivity Improvement, Vol.1, 308-317.

Proceedings in International Meetings (Short papers)

1. Akaki,T., Mori,Y., Kuroda, M., Iizuka, M. (2023). Dimension-reduced fuzzy clustering for categorical data. The 12th Conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS2023), Macquarie University, Australia.
2. Akaki, T., Mori, Y., Kuroda, M., Iizuka, M. (2023). Clustering with quantification and dimension reduction, The 8th Japanese-German Symposium on Classification, Hokkaido University.
3. Nishiyama, C., Katayama, H., Mori, M. (2022). Partial least squares for qualitative data. The 11th Conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS2022). Doshisha University & Online.
4. Katayama, H., Nishiyama, C., Mori, M. (2022). Item selection for qualitative data. The 11th Conference of the Asian Regional Section of the International Association for Statistical Computing (IASC-ARS2022). Doshisha University & Online.
5. Yoshioka, T., Kuroda, M., Mori, Y. (2019). Reduced K-Means with nonlinear principal component analysis. The 62nd International Statistical Institute 2019 World Statistics Congress (WSC2019). 
6. Mori, Y., Katayama, H., Yoshioka, T., Kuroda, M., Iizuka, M. (2019). Some Applications in Multivariate Methods with Alternating Least Squares. Data Science, Statistics & Visualisation 2019 (DSSV2019).
7. Kuroda, M., Mori, Y., (2018). Speed-up of bootstrap computation to incomplete data. The IASC-ARS 25th Anniversary Conference & CASC 2nd Annual Conference. 
8. Yoshioka, M., Kuroda, M., Mori, Y. (2018). Acceleration of computation for fuzzy c-means clustering. The 23rd International Conference on Computational Statistics (COMPSTAT2018). 
9. Kuorda, M., Mori, Y. (2018). Speed-up of bootstrap computation of the covariance matrix of MLEs from incomplete data. The 2nd International Conference on Econometrics and Statistics (EcoSta 2018).
10. Katayama, H. and Mori, Y. (2017). Item selection for impression survey. 2017 Hangzhou International Statisitical Symposium. Hangzhou, China.
11. Mori, Y., Iizuka, M., Kuorda, M. (2017). Variable selection for mixed measurement level data in dimension reduction methods and its computation. The 1st International Conference on Econometrics and Statistics (EcoSta 2017).
12. Mori, Y., Kuorda, M., Iizuka, M. (2016). Variable selection in nonlinear principal component analysis, 2016 IASC-ARS Interim Conference (with KSS Fall Conference）: Daejeon, Korea. Proceedings of the KSS Authumn Conference 2016, 32.
13. Nakano, J. and Mori, Y. (2013). Principal component analysis for aggregated symbolic data. Applicable Semiparametrics Conference, Humboldt–Universität zu Berlin.
14. Kuroda, M., Mori, Y., Izuka, M. and Sakakihara, M. (2011). Variable Selection in Principal Components Analysis of Qualitative Data Using the Accelerated ALS Algorithm. Proceedings of the 7th conference of Asian Regional Section of IASC, 83.
15. Kuroda, M., Mori, Y., Izuka, M. and Sakakihara, M. (2010). Improvement of acceleration of the ALS algorithm using the vector ε algorithm. The 19th International Conference on Computational Statistics. Abstract Book, 374, e-book (ISBN 978-3-7908-2603-6), 1239-1246.
16. Kuroda, M., Mori, Y., Izuka, M. and Sakakihara, M. (2008). Acceleration of convergence of the alternating least squares algorithm for principal component analysis. The Joint Meeting of 4th World Conference of the IASC and 6th Conference of the Asian Regional Section of the IASC on Computational Statistics & Data Analysis.
17. Mori, Y., Zhang, L., Fueda, K. and Iizuka, M. (2008).New Selection Criteria and Interface in a Variable Selection Environment VASMM. The 18th International Conference on Computational Statistics.
18. Yamamoto, Y., Mori, Y,. Yadohisa, H. and Fujino, T. (2008) A system providing statistical contents for e-leaning. ISBIS-2008 International Symposium on Business and Industrial Statistics, Prague.
19. Mori, Y., Matsumoto, Y., Iizuka, M. and Tanaka, Y. (2007). A variable selection in modified principal component analysis for qualitative data. The 56th Session of the International Statistical Institute. Abstract Book, 337, Proceedings CD-ROM.
20. Mori, Y., Yamamoto, Y. and Yadohisa, H. (2006). Data collection and document generation system for data-oriented approaches. The 17th Symposium on Computational Statistics, 218, Abstract Book; 1633-1640, Proceedings CD.
21. H. Yadohisa, Y. Mori and Y. Yamamoto (2006): Data oriented statistical education system on the Web environment, Proceedings of 7th International Conference on Teaching Statistics (Provided by CD-ROM).
22. Mori, Y., Yamamoto, Y., Yadohisa, H. and Honda K. (2005). Implementation of data collection system for data-oriented approaches. International Association for Statistical Computing 3rd world conference on Computational Statistics & Data Analysis, p53, Abstract Book.
23. Mori, Y., Honda, K., Yadohisa, H. and Yamamoto, Y. (2005). Interactive analysis system on the web for data-oriented approaches. The 55th Session of the International Statistical Institute, Abstract Book 306-307 and CD-ROM.
24. Yamamoto, Y., Yadohisa, H. and Mori, Y., Web-based Data and Story Database for Statistical Education, The 2nd International Symposium on Mathematical, Statistical and Computer Sciences, 404-409 (2005) (19-20 February 2005, Bangkok, Thailand)
25. Mori, Y., Honda, K., Yamamoto, Y. and Yadohisa, H. (2004). Data-oriented Statistical System "DoSS@d" for Statistical Education. Spring Meeting of Korea Statistical Society, May 2004, Chonbuk National University, Korea.
26. Iizuka, M., Mori, Y., Tanaka, Y. and Tarumi, T. (2002). Some new modules in variable selection software VASMM. Proceedings of the 4th ARS Conference of the IASC, 166-169.
27. Tanaka, Y., Watadani, S., Mori, Y. and Tarumi, T. (2002). Influence analysis in multivariate methods and statistical package SAMMIF. Proceedings of the 4th ARS Conference of the IASC, 162-165.
28. Iizuka, M., Mori, Y., Tanaka, Y., and Tarumi, T. (2001). Computer intensive trials to determine the number of variables in PCA. Proceedings of ICNCB: International Conference on New Trends in Computational Statistics with Biomedical Applications, 251-258.
29. Iizuka, M., Mori, Y., Tanaka, Y., and Tarumi, T. (2001). An individual influence using resampling method and its evaluation. The 53nd Session of the International Statistical Institute, Book2, 233-234.
30. Mori, Y., Iizuka, M., Tarumi, T. and Tanaka, Y. (2000). Study of variable selection criteria in data analysis. The Tenth Japan and Korea Joint Conference of Statistics, 119-124.
31. Mori, Y., Iizuka, M., Tarumi, T. and Tanaka, Y. (2000). Statistical software "VASPCA" for variable selection in principal component analysis. The 14th Symposium on Computational Statistics, Short Communications, 73-74.
32. Mori, Y. and Iizuka, M. (2000). Study of variable selection methods in data analysis and its interactive system. ISM Symposium "Recent Advances in Statistical Research and Data Analysis", 109-114.
33. Mori, Y., Iizuka, M., Tarumi, T. and Tanaka, Y. (1999). Variable selection in "Principal Component Analysis Based on a Subset of Variables". The 52nd Session of the International Statistical Institute, Book2, 333-334.
34. Lee, S, Mori, Y. and Tanaka, Y. (1999). Sensitivity analysis in spatial prediction. The 52nd Session of the International Statistical Institute.
35. Tanaka, Y., Zhang, F. and Mori, Y. (1998). Influence in principal component analysis revisited. The 3rd Conference on Statistical Computing of the ARS, 319-330.
36. Mori, Y., Yamamoto, Y., Watadani, S., Odaka, Y., Tarumi, T. and Tanaka, Y. (1997). Statistical software SAMMIF: sensitivity analysis in multivariate methods based on influence functions. The Ninth Korea and Japan Joint Conference of Statistics, 179-185.
    • PowerPoint
37. Mori, Y. and Tarumi, T. (1994). Variable selection in Hayashi's third method of quantification. The 5th Japan - China Symposium on Statistics, 191-194.
38. Mori, Y., Tarumi, T. and Tanaka, Y. (1994). Variable selection with RV-coefficient in principal component analysis. The 11th Symposium on Computational Statistics, Short Communications, 169-170.
39. Mori, Y. and Tarumi, T. (1992). Statistical software SAM II: sensitivity analysis in multivariate methods, 日本計算機統計学会5周年記念国際研究集会, ホノルルJAIMS, 39-40.

Society and University Bulletin

     See Japanese page.

Talks in Meetings of Japanese Societies

    See Japanese page.

1. Mori, Y., Iizuka, M., Minami, H., Hamada, H. (2017). Analysis of Research Capacity within/between Institutions using a Large-scale Database of Scientific Literature.  Japan IR meeting, Washington D.C.
2. Mori, Y., Yamamoto, Y. and Yadohisa, H. (2003. 11). Data-oriented Statistical System (DoSS@d). Workshop on "Modern statistical visualization and related topics" (1) at ISM on 13-14, November 2003. (in Japanese)
   
   See Japanese page for other articles.

Others

Session Organizer

1. Member of the Organizing Committee of the 13th Conference of the IASC-ARS (IASC-ARS2025), University of Economics Ho Chi Minh City, Vietnam.
2. IASC-ARS Interim Conference 2024, Scientific Program Committee, National Taiwan University, Taipei, Twaiwan, 2024. 
3. The 38th Symposium of Japanese Society of Computational Statistics, Chairperson, Okayama Cultural Area, Japan, 2024.
4. Origanizer of the organized session "Marketing and Innovation", The 26th International Conference on Computational Statistics (COMPSTAT2024), Giessen, Germany, 2024.
5. Origanizer of the invited session "New challenges to behaviormetrics: AI, visualization, and data-driven approaches", The 26th International Conference on Human-Computer Interaction (HCI International 2024), Washington Hilton Hotel, Washington DC, USA, 2024.
6. Member of the Scientific Program Committee of the 12th Conference of the IASC-ARS (IASC-ARS2023), , Macquarie University, Sidney, Australia．
7. Member of the Program Committee and Origanizer of the invited session "IASC-ARS session: Recent developments for effective computation and learning", The International Conference on Data Science ICDS2023, Universidad Diego Portales (Hybrid), Santiago of Chile, 2023.
8. Origanizer of the organized session "New trends for statistical computing: Baysian and symbolic data analysis", The 25th International Conference on Computational Statistics (COMPSTAT2023), London, UK, 2023,
9. Member of the Program Committee and Co-organizer of the invited session "Advances and applications in clustering", The IASC-ARS Interim Conference 2022, Virtually at The Education University of Hong Kong, 2022.
10. Organizer of the organized invited session "Recent advances in dimension reduction and related methods", CSDA & EcoSta Workshop on Statistical Data Science (SDS 2022), Bologna, Italy, 2022.
11. Organizer of the organized session "IASC-ARS session: Advances in computations for categorical data analysis and related methods", The 24th International Conference on Computational Statistics (COMPSTAT2022), Bologna, Italy, 2022.
12. Chairperson of the the 11th Conference of the IASC-ARS (IASC-ARS2022), Doshisha Univerity and Online, Kyoto, Japan.  
13. Organizer of the invited session "New approaches and modifications to modern computations", The 11th ICSA International Conference, Hangzhou Dragon Hotel, Hangzhou, China, 2019.
14. Organizer of the organized session "ARS-IASC session I: New computational approaches to nonlinearity, dimension reduction and clustering", The 22nd International Conference on Computational Statistics (COMPSTAT2016),  the Auditorium/Congress Palace Principe Felipe, Oviedo, Spain, 2016.
15. Memebr odf SPC, Seesion organizer, Joint Meeting of the IASC Satellite Conference for the 59the ISI WSC and the 8the Conference of the Asian Regional Section of the IASC, Yonsei University, Seoul, Korea, 2013.
16. Member of Program Committee, Joint Meeting of the 2011 Taipei International Statistical Symposium and 7th Conference of the Asian Regional Section of the IASC, Dec 16-19, 2011, Academia Sinica, Taipei, Taiwan, 2011.
17. Organizer and chairman of Invited Paper Session 42 "New generations and algorithms of principal component analysis" in the 58th World Statistics Congress of the International Statistical Institute, Dublin, Ireland, 2011.
18. Cair, The 39th Annual Meeting of the Behaviormetrics Society Japan, Sep 11-14, 2011, Okayama University of Science.
19. Vice-chair of the local organizing committee, A member of the management committee, IASC2008 (Joint Meeting of 4th World Conference of the IASC and 6th Conference of the Asian Regional Section of the IASCon Computational Statistics & Data Analysis), Dec 5-8, 2008, Yokohama, Japan.
20. Member of the international organizing committee, IASC-ARS Special Conference 2007, Seoul, Korea, 2006-2008.

1. Mori, Y., Katayama, H., Yoshioka, T., Kuroda, M., Sakakihara, M., Iizuka, M. (2019.12.18). Nonlinear Principal Component Analysis and Its Applications. Academic Seminar of School of Mathematical Science UESTC, TUniversity of Electronic Science and Technology of China.
2. Mori, Y., Kuroda, M., Sakakihara, M., Iizuka, M. (2018.6.21). Nonlinear Principal Component Analysis and Its Applications. Departmental Seminar of Department of Statistics and Actual Science, The University of Hong Kong.
3. Mori, Y., Kuroda, M., Sakakihara, M. and Izuka, M. (2016.10.19). Acceleration of the Alternating Least Squares Algorithm for Nonlinear Principal Component Analyses. Special research Colloquium, Mathematics and Statistics Department, Utah State University.   
4. Mori, Y., Honda, K., Yamamoto, Y. and Yadohisa, H. (2004. 1.14). Data-oriented Statistical System "DoSS@d". Computational Statistics Day,  CASE - Center for Applied Statistics and Economics.
5. Mori, Y., Iizuka, M., Tarumi, T. and Tanaka, Y. (2003.1.5). Statistical software VASMM for variable selection in multivariate methods. Seminar at Institute for Statistics and Economics in Humboldt University, Berlin.
6. Mori, Y., Watadani, S., Yamamoto, Y. Tarumi, T. and Tanaka, Y. (2000.8.28). Statistical Software SAMMIF for Sensitivity Analysis in Multivariate Methods. Seminar at Institute for Statistics and Economics in Humboldt University, Berlin.
7. Mori, Y.(1998.12). Development of Statistical Software SAMMIF for Sensitivity Analysis in Multivariate Methods. Seminar for faculty and graduate students in CLSU, Central Luzon State University Munoz, Nueva Ecija, Philippines.

Awards

• Fellow of the Japanese Society of Computational Statistics (2020 - )
• Software Award, Japanese Society of Computational Statistics, 2004
  Sensitivity Software "SAMMIF" by Yutaka Tanaka (Nanzan University), Tomoyuki Tarumi (Okayama University), Yuichi Mori (Okayama University of Science), Yoshimasa Odaka, Shingo Watadani (Kurashiki University of Science and the Arts) and Yoshiro Yamamoto (Tokai University)

Grant-in-aid

Grants-in-Aid for Scientific Research (KAKENHI)  - The Japan Society for the Promotion of Science / Ministry of Education, Culture, Sports, Science and Technology

1. 2022-2024. No. 22K02714 (Co-Investigatior)
2. 2021-2024: No. 21K11800 (Co-Investigatior)
3. 2021-2023: No. 21K11799 (Principal Investigator)
4. 2017-2019: No. 17K00063 (Principal Investigator)
5. 2016-2019. No. 16K00061 (Principal Investigator)
6. 2014-2016: No. 26330052 (Principal Investigator)
7. 2012-2015: No. 24500353 (Co-Investigatior)
8. 2010-2012: No. 22500265 (Principal Investigator)
9. 2008-2011: No. 20500263 (Co-Investigatior)
10. 2005-2006: No. 17650082 (Principal Investigator)
11. 2003-2005: No. 15300094 (Co-Investigatior)
12. 2002-2004: No. 14580352 (Principal Investigator)
13. 1998-1999: No. 10680321 (Principal Investigator)
14. 1995        : No. 07780166 (Principal Investigator)
15. 1991        : No. 03780265 (Principal Investigator)
    

Others

     See Japanese page.