Research facility · founded 2003
The Institute of Statistical Mathematics
Tokyo, Japan · ism.ac.jp
Part of Ministry of Education, Culture, Sports, Science and Technology
- Citations, last 5 years
- 11.6k
- Works, last 5 years
- 1 509
- h-index
- 194
- Scientists listed
- 39
- Grants since 2016
- 163
Grants received
2020–2025 · research · Grant-in-Aid for Scientific Research (C)
Detailed diagnostic analysis and probability prediction of seismic activity by non-stationary non-uniform spatiotemporal point process model
Takao Kumazawa · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2024 · fellowship · Grant-in-Aid for Early-Career Scientists
Spatial regression modeling estimating a wide variety of effects from diverse data
Daisuke Murakami · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2023 · fellowship · Grant-in-Aid for Early-Career Scientists
On Scalability of Optimal Transport for Large-Scale Applications
Thanh Tam Le · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2024 · research · Grant-in-Aid for Scientific Research (C)
Research on resource allocation problems by discrete convex analysis
Kazuo Murota · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2025 · research · Grant-in-Aid for Scientific Research (C)
Reconstruction of the solar radiation with a high spatial and temporal resolution based on weather descriptions in historical diaries during the Edo era
Mika Ichino · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2025 · research · Grant-in-Aid for Scientific Research (B)
Robust quasi-Hamiltonian Monte Carlo Methods
研吾 鎌谷 · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2025 · research · Grant-in-Aid for Scientific Research (C)
Theoretical Analyses of the Essence and Conditions for the Promotion of Nuclear Disarmament: Effects and Potentials of IAEA Inspections
Kiyohisa Shibai · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2023 · research · Grant-in-Aid for Scientific Research (C)
Microwave radar antenna and its application to ship control system
Yumi Takizawa · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2024 · research · Grant-in-Aid for Scientific Research (B)
New Imaging method for ALMA telescope with Sparse Modeling
Shiro Ikeda · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2023 · fellowship · Grant-in-Aid for Early-Career Scientists
High-Dimensional Bayesian Inference with Stein Points
Ye Chen · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2023 · fellowship · Grant-in-Aid for Early-Career Scientists
A Unified Probabilistic Famework of Financial Distress Modelling
Yi Jiang · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2023 · fellowship · Grant-in-Aid for Early-Career Scientists
Development of a Practically Applicable Estimation Method for Expected Loss Ratio of SMEs: Using Integrated Big Data of Regional Banks
Hideaki Nagahata · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2020–2024 · research · Grant-in-Aid for Scientific Research (C)
Regression models for directional data
Shogo Kato · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2024 · research · Grant-in-Aid for Scientific Research (C)
Deepening and development of information geometric methods for statistical science
Masayuki Henmi · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2022 · research · Grant-in-Aid for Scientific Research (C)
Financial time series forecast using information extracted from text data
Yoshinori Kawasaki · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2022 · research · Grant-in-Aid for Scientific Research (C)
A Study on Methods for Extracting Deterministic Governing Equations from Complex Time Series
Hideitsu Hino · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2024 · research · Grant-in-Aid for Scientific Research (A)
Discovery of innovative functional materials using state-of-the-art machine learning
Ryo Yoshida · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2022 · research · Grant-in-Aid for Scientific Research (B)
A comprehensive study on methodologies of statistical modeling and inference for Hawks-type point process and applications
Jiancang Zhuang · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2022 · fellowship · Grant-in-Aid for Early-Career Scientists
Statistical inference for random-effects meta-analyses under model misspecification
Kengo Nagashima · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2025 · fellowship · Grant-in-Aid for Early-Career Scientists
Development of efficient algorithms for solving large-scale nonconvex optimization problem and its application to machine learning
Mirai Tanaka · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2022 · research · Grant-in-Aid for Scientific Research (B)
Developments of statistical inference, prediction, and modeling methods for network meta-analysis
Hisashi Noma · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2024 · fellowship · Grant-in-Aid for Early-Career Scientists
Solving ill-posed conic optimization problems
Bruno F. Lourenco · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2025 · research · Grant-in-Aid for Scientific Research (C)
Calculation of Clinch and Elimination Numbers Based on Multilayered Integer Programming in the Presence of Multiple Tiebreaking Criteria
Satoshi Ito · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2022 · fellowship · Grant-in-Aid for Early-Career Scientists
Model selection for Bayesian sparse estimation in hierarchical models
Sakata Ayaka · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2024 · fellowship · Grant-in-Aid for Early-Career Scientists
Construction of estimation methods and their uncertainty quantification methods for high-dimensional count data focusing on structural constraints
Keisuke Yano · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2022 · fellowship · Grant-in-Aid for Early-Career Scientists
Causal Effects of Marital and Fertility Decisions on Female Labor Supply: Evidence and Mechanisms
Junchao Zhang · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2022 · fellowship · Grant-in-Aid for Early-Career Scientists
Trajectory of children's neurodevelopment from preschool to post-school and developmental support
Naomi Tamura · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2021 · fellowship · Grant-in-Aid for Research Activity Start-up
High dimensional multivariate linear mixed model and application to small area estimation
Tsubasa Ito · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2024 · research · Grant-in-Aid for Scientific Research (C)
Estimation and experimental verification of causal connectivity and network structure among brain regions and neurons
Fumikazu Miwakeichi · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2022 · research · Grant-in-Aid for Scientific Research (C)
Integration of computational chemistry and machine learning for quantitative prediction of microscopic properties of polymers
Masayoshi Takayanagi · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2019–2022 · fellowship · Grant-in-Aid for JSPS Fellows
認知の歪みを定量化する：心理変数を含む状態空間モデルによるアノマリー採餌の解析
The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2018–2023 · research · Grant-in-Aid for Scientific Research (B)
Developments and applications of statistical prediction method
Shinto Eguchi · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2018–2021 · research · Grant-in-Aid for Scientific Research (C)
The Research on International Comparative Analysis by Official Micro Data of Household
Motoi Okamoto · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2018–2022 · fellowship · Grant-in-Aid for Early-Career Scientists
Inverse materials design by integrating transfer learning techniques into a Bayesian framework
Stephen Wu · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2018–2022 · research · Grant-in-Aid for Scientific Research (A)
New developments of quantitative research on Japanese National Character
Tadahiko Maeda · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2018–2021 · research · Grant-in-Aid for Scientific Research (C)
Understanding and developing deep learning as estimation procedures of the high-dimensional parameter
Takemi Yanagimoto · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2018–2021 · research · Grant-in-Aid for Scientific Research (B)
Adaptive Probabilistic Robotics through Statistical Motion Analysis and Kinematics
Daichi Mochihashi · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2018–2021 · research · Grant-in-Aid for Challenging Research (Exploratory)
Advance of artificial intelligence by theoretical investigation of deep learning
Kenji Fukumizu · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2018–2023 · research · Grant-in-Aid for Scientific Research (B)
A Study of Exploratory Meta-Analysis Based on Analytic Meta-Analysis and SDA
Masahiro Mizuta · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science
2018–2024 · research · Grant-in-Aid for Scientific Research (C)
Design of Adaptive Cooperative Control of Large-Scaled Complex Processes of Different Structures under Restricted Network Communications including Emergence
Yoshihiko Miyasato · The Institute of Statistical Mathematics · funded by Japan Society for the Promotion of Science