H. Morohosi, Measuring the network robustness by Monte Carlo estimation of shortest path length distribution, Mathematics and Computers in Simulation, Vol. 81, pp. 551-559, 2010.
Morohosi, Hozumi, "A case study of optimal ambulance location problems,"Operations Research and its Applications (The Sixth International Symposium, ISORA'08 Proceedings), X.-S. Zhang, D.-G. Liu, and L.-Y. Wu (eds.), pp. 125-130, 2008
H. Ashida, H. Morohosi, and T. Oyama, Applying network flow optimization techniques for measuring the robustness of water supply network system in Tokyo, Operations Research and its Applications(The Sixth International Symposium, ISORA'06 Proceedings), X.-S. Zhang, D.-G. Liu, and L.-Y. Wu (eds.), pp. 22-34, World Publishing, 2006.
T. Oyama and H. Morohosi, Applying the shortest-path-counting problem to evaluate the importance of city road segments and the connectedness of the network-structured system, International Transactions in Operations Research, Vol. 11, pp. 555-573, 2004.
H. Morohosi and T. Oyama, Stable connectivity of networks and its Monte Carlo estimation, in Monte Carlo and Quasi-Monte Carlo Methods 2002, H. Niederreiter (eds.), pp. 357-366, Springer-Verlarg, 2004.
H. Morohosi and M. Fushimi, Quasirandom tree method for pricing American style derivatives, J. Operations Research Society of Japan, Vol. 45, No.4, pp. 426-434, 2002.
H. Morohosi and M. Fushimi, Designing asymptotically random GFSR sequences, OR Transactions, Vol. 4, No. 2, pp. 7-18, 2000.
H. Morohosi and M. Fushimi, A practical approach to the error estimation of quasi-Monte Carlo integrations, Monte Carlo and Quasi-Monte Carlo Methods 1998, H. Niederreiter and J. Spanier (eds.), pp. 377-390, Springer, 2000.
Hozumi Morohosi, “Measuring the network robustness by Monte Carlo estimation of shortest path length distribution,” Mathematics and Computers in Simulation, Vol. 81, pp. 551-559, 2010. ※
Morohosi, Hozumi, "A case study of optimal ambulance location problems," ISORA'08 proceedings, pp. 125-130, 2008.
②共著
Fithriyah, H. Ahsida, H. Morohosi, and T. Oyama, "Risk management analyses on measuring the robustness of the water supply network system in Tokyo," ISORA'08 proceedings, pp. 141-151, 2008.
Fithriyah, H. Morohosi, T. Oyama and H. Ashida, “A stochastic model analysis of the robustness of water supply network system,” pp. 172-173.（日本オペレーションズ・リサーチ学会2007年秋季研究発表会アブストラクト集、政策研究大学院大学、 2007年9月27日〜28日）
H. Morohosi, “Measuring the network robustness by Monte Carlo estimation of shortest path length distribution,” 6th IMACS seminar on Monte Carlo methods, University of Reading, June 18-21, 2007.
H. Ashida, H. Morohosi and T. Oyama, “Applying Network Flow Optimization Techniques for Measuring the Robustness of Water Supply Network System in Tokyo,” X. -S. Zhang, D. -G. Liu and L. -Y. Wu (eds.), Operations Research and its Applications, pp.22-34 (World Publishing Corporation) (2006).
（２）学会報告
INFORMS International Meeting Hong Kong 2006, H. Morohosi, H. Kawai, and T. Oyama, “Optimization Model of Ambulance Location Problem and Simulation Analysis,” Hong Kong, June 28, 2006.
INFORMS Annual Meeting 2006, H. Morohosi, B. Gozun, T. Oyama, “Evaluating the Importance of Links in Road Network System by Path Counting Methods,” Pittsburgh, November 7, 2006.
Hozumi Morohosi and Masanori Fushimi: Notes on the application of randomized quasi-Monte Carlo methods to financial engineering problems, Operations Research and its Applications, X-S Zhang, D-G Liu, and L-Y Wu (eds.), pp.80−91, World Publishing, 2005.
Hozumi Morohosi, Hidetaka Kawai, and Tatsuo Oyama: Applying optimization and simulation model for locating ambulance facilities, 17th Triennial Conference of the International Federation of Operational Research Societies, Honolulu, Hawaii, July 11−15, 2005.
Hozumi Morohosi, Hiroshi Ashida, and Tatsuo Oyama: Applying maximum flow estimation methods for measuring water supply network system robustness, INFORMS Annual Meeting, San Francisco, Nov. 13−16, 2005.
2004.04〜2005.03
（１）学術的論文（共著）
Tatsuo Oyama and Hozumi Morohosi: Applying the shortest-path-counting problem to evaluate the importance of city road segments and the connectedness of the network-structured system,
H. Morohosi and T. Oyama: Stable connectivity of networks and its Monte Carlo estimation, in Monte Carlo and Quasi-Monte Carlo Methods 2002, pp. 357-366, Springer-Verlarg, 2004. ※
T. Oyama and H. Morohosi: Applying the shortest path counting problems to evaluate the stable connectedness of the network-structured system, in Operations Research and its Applications: Recent Trends (Proceedings of the APORS 2003), pp. 375-384, Allied Publishers PVT. Limited, 2004.
The 4th IMACS Seminar on Monte Carlo Methods, A comparison of the efficiency of randomized quasi-Monte Carlo integration methods, Berlin (September 15−19, 2003) (with M. Fushimi)
Hozumi Morohosi and Masanori Fushimi: “Experimental studies on the error estimation of the numerical integration by generalized Niederreiter sequences”, Operations Research and Its Applications: The Fourth International Symposium, ISORA’02, pp. 46?53, World Publishing, Beijing, 2002. ※
Tatsuo Oyama and Hozumi Morohosi: “A quantitative method for evaluating stable connectedness of the network-structured system”, ibid., pp.54?66. ※
Hozumi Morohosi and Masanori Fushimi: “Quasirandom tree method fro pricing American style derivatives”, Journal of the Operations Research Society of Japan, Vol. 45, No. 4, pp. 425?434. 2002. ※
（２）学会報告
Hozumi Morohosi and Masanori Fushimi: “A test for (t,s)-sequences based on the rank of generator matrices”, Workshop on random number generation and highly uniform point sets, University of Montreal, (June 17?28, 2002)
Hozumi Morohosi and Tatsuo Oyama: “Stable connectivity of networks and its Monte Carlo estimation”, 5th International conference on Monte Carlo and quasi-Monte Carlo methods in scientific computing, National University of Singapore, (November 25?28, 2002)
Hozumi Morohosi and Masanori Fushimi: “A precise test of digital (t,s)-sequences by enumerating the elementary intervals”, ibid.
The Third IMACS Seminar on Monte Carlo Methods, "Experimental Studies for the Error Estimation Methods of Quasi-Monte Carlo Integrations," Salzburg (2001, Sep. 10―14)
The Fourth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, “An Application of Quasi-Monte Carlo Methods to Pricing American Options,” Hong Kong (Nov. 27 - Dec. 1, 2000)
〜2000.03
著書
A Method for Numerical Inversion of Laplace Transfroms 単著 平成元年3月 修士学位論文：東京大学
Practical Approach to the Error Estimation of Quasi-Monte Carlo Integrations 共著 平成11年９月 Monte Carlo and Quasi-Monte Carlo Methods 1998,pp. 377-390,Springer,2000
Estimating the Error of Quasi-Monte Carlo Integrations Experimental Studies in Financial Problems 共著 平成12年1月 京都大学数理解析研究所講究録,確率数値解析に於ける 諸問題, IV, 1127,pp.1-11
