Researcher Search Results Mitsuki Kobayashi Mitsuki Kobayashi (小林 光木) Please select the form format to download from below 「Education and research environment」format 「No. 4, the Ministry of Education document style ①Outline for Vitae」format 「No. 4, the Ministry of Education document style ②Education and research environment」format Profile Information AffiliationAssistant professor, Faculty of Science and Technology, Department of Science and Technology, Seikei UniversityDegreePh.D. (in Mathematical Science)(Jul, 2023, Waseda University)Researcher number80895128ORCID ID https://orcid.org/0000-0003-0083-3187J-GLOBAL ID202101012979037890researchmap Member IDR000021838 Research Interests 5 Statistical Inference Lévy Process Stochastic Process Partial Differential Equation Nonlinear Analysis Research Areas 3 Natural sciences / Applied mathematics and statistics / Natural sciences / Mathematical analysis / Natural sciences / Basic analysis / Research History 6 Apr, 2025 - Present Assistant professor, Faculty of Science and Technology Department of Science and Technology, Seikei University Apr, 2024 - Present Part-time Lecturer, Faculty of Science and Engineering, Waseda University Apr, 2024 - Mar, 2025 Adjunct Researcher, Research Institute for Science and Engineering, Waseda University Apr, 2024 - Mar, 2025 Part-time Lecturer, Center of Liberal Arts, Meiji Gakuin University Apr, 2023 - Mar, 2024 Adjunct Researcher, Research Institute for Science and Engineering, Waseda University More Awards 1 Nov, 2021 ベストポスター発表, Least squares estimators based on the Adams method for discretely sampled SDEs with small Levy noise Mitsuki Kobayashi Papers 3 Threshold estimation for jump-diffusions under small noise asymptotics Mitsuki Kobayashi, Yasutaka Shimizu Statistical Inference for Stochastic Processes, 26(2) 361-411, Feb 20, 2023 Peer-reviewedLead authorCorresponding author Least-squares estimators based on the Adams method for stochastic differential equations with small Lévy noise Mitsuki Kobayashi, Yasutaka Shimizu Japanese Journal of Statistics and Data Science, 5(1) 217-240, May 13, 2022 Peer-reviewedLead authorCorresponding author Global existence of weak solutions to forest kinematic model with nonlinear degenerate diffusion Mitsuki Kobayashi, Yoshio Yamada Advances in Mathematical Sciences and Applications, 29(1) 187-209, Nov 15, 2020 Peer-reviewedLead authorCorresponding author Presentations 11 MLE-type estimation of mean functions for Gaussian processes under small noise asymptotics Mitsuki Kobayashi, Yasutaka Shimizu, Nobutoki Takaoka, Yuto Nishiwaki Japanese Joint Statistical Meeting 2024, Sep 5, 2024 Invited Threshold estimation for stochastic differential equations with small Levy noise Mitsuki Kobayashi, Yasutaka Shiimzu MATRIX program “Mathematics of Risk – 2022”, Nov 2, 2022 Attachment Threshold estimation for stochastic differential equations with small Lévy noise 小林光木, 清水泰隆 2022年度統計関連学会連合大会, Sep 5, 2022 Attachment Least squares estimators based on the Adams method for discretely sampled SDEs with small Lévy noise Mitsuki Kobayashi Nov 13, 2021 Attachment Least squares estimators based on the Adams method for discretely sampled SDEs with small L´evy noise Mitsuki Kobayashi Mar 11, 2021 Attachment アダムス法を用いた 常微分方程式の統計的推測 Mitsuki Kobayashi Japanese Joint Statistical Meeting, Sep 11, 2019 Attachment データを活用した常微分方程式における係数の最適化 小林光木 数学・数理科学専攻若手研究者のための異分野・異業種研究交流会2018, Nov 17, 2018 非線形退化型拡散を伴う 森林モデルにおける一様有界性 Mitsuki Kobayashi, Yoshio Yamada Feb 10, 2018 Attachment 非線形退化型拡散を伴う森林モデルにおける大域解の存在 小林光木, 山田義雄 第11回非線形偏微分方程式と変分問題, Feb, 2017 非線形退化型拡散を伴う森林モデルにおける大域解の存在 小林光木, 山田義雄 第42回発展方程式研究会, Dec, 2016 A large-time behavior of one dimensional dead core for a reaction-diffusion equation with strong absorption 小林光木 第37回発展方程式若手セミナー, Aug 24, 2015 1 Teaching Experience 15 Apr, 2026 - Present C++ Programming I (Seikei University) Apr, 2026 - Present Intermediate Statistics A (Spring Semester, 2 class a week) (Waseda University) Apr, 2025 - Present C++ Programming Laboratory II (Seikei University) Apr, 2025 - Present Probability and Statistics (Seikei University) Apr, 2025 - Present C++ Programming Laboratory I (Seikei University) More Professional Memberships 1 May, 2019 - Present The Japan Statistical Society
Mitsuki Kobayashi (小林 光木) Please select the form format to download from below 「Education and research environment」format 「No. 4, the Ministry of Education document style ①Outline for Vitae」format 「No. 4, the Ministry of Education document style ②Education and research environment」format Profile Information AffiliationAssistant professor, Faculty of Science and Technology, Department of Science and Technology, Seikei UniversityDegreePh.D. (in Mathematical Science)(Jul, 2023, Waseda University)Researcher number80895128ORCID ID https://orcid.org/0000-0003-0083-3187J-GLOBAL ID202101012979037890researchmap Member IDR000021838 Research Interests 5 Statistical Inference Lévy Process Stochastic Process Partial Differential Equation Nonlinear Analysis Research Areas 3 Natural sciences / Applied mathematics and statistics / Natural sciences / Mathematical analysis / Natural sciences / Basic analysis / Research History 6 Apr, 2025 - Present Assistant professor, Faculty of Science and Technology Department of Science and Technology, Seikei University Apr, 2024 - Present Part-time Lecturer, Faculty of Science and Engineering, Waseda University Apr, 2024 - Mar, 2025 Adjunct Researcher, Research Institute for Science and Engineering, Waseda University Apr, 2024 - Mar, 2025 Part-time Lecturer, Center of Liberal Arts, Meiji Gakuin University Apr, 2023 - Mar, 2024 Adjunct Researcher, Research Institute for Science and Engineering, Waseda University More Awards 1 Nov, 2021 ベストポスター発表, Least squares estimators based on the Adams method for discretely sampled SDEs with small Levy noise Mitsuki Kobayashi Papers 3 Threshold estimation for jump-diffusions under small noise asymptotics Mitsuki Kobayashi, Yasutaka Shimizu Statistical Inference for Stochastic Processes, 26(2) 361-411, Feb 20, 2023 Peer-reviewedLead authorCorresponding author Least-squares estimators based on the Adams method for stochastic differential equations with small Lévy noise Mitsuki Kobayashi, Yasutaka Shimizu Japanese Journal of Statistics and Data Science, 5(1) 217-240, May 13, 2022 Peer-reviewedLead authorCorresponding author Global existence of weak solutions to forest kinematic model with nonlinear degenerate diffusion Mitsuki Kobayashi, Yoshio Yamada Advances in Mathematical Sciences and Applications, 29(1) 187-209, Nov 15, 2020 Peer-reviewedLead authorCorresponding author Presentations 11 MLE-type estimation of mean functions for Gaussian processes under small noise asymptotics Mitsuki Kobayashi, Yasutaka Shimizu, Nobutoki Takaoka, Yuto Nishiwaki Japanese Joint Statistical Meeting 2024, Sep 5, 2024 Invited Threshold estimation for stochastic differential equations with small Levy noise Mitsuki Kobayashi, Yasutaka Shiimzu MATRIX program “Mathematics of Risk – 2022”, Nov 2, 2022 Attachment Threshold estimation for stochastic differential equations with small Lévy noise 小林光木, 清水泰隆 2022年度統計関連学会連合大会, Sep 5, 2022 Attachment Least squares estimators based on the Adams method for discretely sampled SDEs with small Lévy noise Mitsuki Kobayashi Nov 13, 2021 Attachment Least squares estimators based on the Adams method for discretely sampled SDEs with small L´evy noise Mitsuki Kobayashi Mar 11, 2021 Attachment アダムス法を用いた 常微分方程式の統計的推測 Mitsuki Kobayashi Japanese Joint Statistical Meeting, Sep 11, 2019 Attachment データを活用した常微分方程式における係数の最適化 小林光木 数学・数理科学専攻若手研究者のための異分野・異業種研究交流会2018, Nov 17, 2018 非線形退化型拡散を伴う 森林モデルにおける一様有界性 Mitsuki Kobayashi, Yoshio Yamada Feb 10, 2018 Attachment 非線形退化型拡散を伴う森林モデルにおける大域解の存在 小林光木, 山田義雄 第11回非線形偏微分方程式と変分問題, Feb, 2017 非線形退化型拡散を伴う森林モデルにおける大域解の存在 小林光木, 山田義雄 第42回発展方程式研究会, Dec, 2016 A large-time behavior of one dimensional dead core for a reaction-diffusion equation with strong absorption 小林光木 第37回発展方程式若手セミナー, Aug 24, 2015 1 Teaching Experience 15 Apr, 2026 - Present C++ Programming I (Seikei University) Apr, 2026 - Present Intermediate Statistics A (Spring Semester, 2 class a week) (Waseda University) Apr, 2025 - Present C++ Programming Laboratory II (Seikei University) Apr, 2025 - Present Probability and Statistics (Seikei University) Apr, 2025 - Present C++ Programming Laboratory I (Seikei University) More Professional Memberships 1 May, 2019 - Present The Japan Statistical Society
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