Researcher Information - MOTOYAMA Hitoshi |

（Last updated : 2026-01-30 11:02:05）

MOTOYAMA Hitoshi

Department / Course

Aoyama Gakuin University College of Economics Department of Economics

Job Professor

Specialization and related fields
Statistical science, Economic statistics, Sociology, Economic statistics

Business career
1.	2018/04/01 ～	Professor Aoyama Gakuin University College of Economics Department of Economics
2.	2023/04 ～	Specially Appointed Professor
3.	2022/09 ～ 2023/08	Visiting Scholar Delft Institute of Applied Mathematics, Delft University of Technology
4.	2022/04 ～ 2023/03	Specially Appointed Professor
5.	2015/04/01 ～ 2018/03/31	Associate Professor Aoyama Gakuin University College of Economics Department of Economics
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Official position and committee in Univ.
1.	2019/04/01 ～ 2022/03/31	Aoyama Gakuin University Associate Director, Institute of Information and Media
2.	2020/04/01 ～ 2022/03/31	Aoyama Gakuin University Chair

Book and thesis
1.	Papers	Financial Stability, Impossible Trinity, and Macroprudential Policy Economic Analysis 29 (4),pp.44-73 (Co-authored) 2023/12/31
2.	Papers	Rate of convergence of the asymptotic normality of sample quantiles from a finite population Communications in Statistics - Theory and Methods 52 (3),pp.886-895 (Sole-authored) 2023/02
3.	Papers	An Example on Non-Regular Asymptotic Distributions of Sample Medians for Samples from a Finite Population,pp.31-37 (Sole-authored) 2019/03
4.	Papers	"A New Graphical Approach to Classify Spatial Point Patterns based on Hierachical Cluster Analysis" Journal of the Japanese Society of Computational Statistics 30 (1),pp.1-14 (Co-authored) 2017/12
5.	Papers	On a Survey Weighted Cp Criterion,pp.61-68 (Sole-authored) 2017/12
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Academic conference presentation
1.	2025/10/08	Some Asymptotic Results in Length Biased Sampling from a Finite Population (65th ISI World Statistics Congress(World Forum,The Hague, the Netherlands))
2.	2023/10/01	Proposal of new similarity indices "cluster center-of-gravity distance" and "cluster difference degree" and similarity cluster identification algorithm for comparing cluster analysis results of different survey years data (The 8th Japanese-German Symposium on Classification,(Hokkaido University)(共同))
3.	2023/08/24	The Bahadur representation of sample quantiles in general unequal probability sampling designs (6th Baltic-Nordic Conference on Survey Statistics (University of Helsinki)(単独))