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FUJIMORI Kou|Shinshu University Researcher List

FUJIMORI Kou

Academic Assembly School of Humanities and Social Sciences Institute of Social Sciences

Associate Professor 

Research Keyword

    Stochastic process, Sparse estimation

Field Of Study

  • Statistical inference for stochastic processes

Mail Address

    kfujimori★shinshu-u.ac.jp

Career

  • 2020
    信州大学経法学部応用経済学科 講師
  • 2019 - 2020
    早稲田大学基幹理工学部応用数理学科 講師(任期付き)
  • 2018 - 2019
    早稲田大学基幹理工学部数学科 助手

Educational Background

  • 2011 - 2015, 早稲田大学, 基幹理工学部, 数学科
  • 2019, 早稲田大学大学院, 基幹理工学研究科, 数学応用数理専攻

Award

  • 2017
    日本統計学会, 第11回日本統計学会春季集会 優秀発表賞

Paper

  • Sparse principal component analysis for high-dimensional stationary time series
    Kou Fujimori, Yuichi Goto, Yan Liu and Masanobu Taniguchi
    Scandinavian Journal of Statistics, May 2023電子ジャーナル
  • Test for Conditional Variance of Integer-Valued Time Series
    Yuichi Goto and Kou Fujimori
    Statistica Sinica, 33(1), Oct. 2022電子ジャーナル
  • The variable selection by the Dantzig selector for Cox's proportional hazards model
    Fujimori, Kou;
    ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 74(3), 515-537, Jun. 2022WebofScience電子ジャーナル
  • The Dantzig selector for a linear model of diffusion processes
    Kou Fujimori
    Statistical Inference for Stochastic Processes, 22(3), 475- 498, Oct. 2019電子ジャーナル
  • The Dantzig selector for diffusion processes with covariates
    Kou Fujimori and Yoichi Noshiyama
    Journal of Japan Statistical Society, 47(1), 59- 73, Jun. 2017電子ジャーナル
  • The l(q) consistency of the Dantzig selector for Cox's proportional hazards model
    Kou Fujimori and Yoichi Nishiyama
    JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 181, 62-70, Feb. 2017電子ジャーナル

MISC

  • Identification and estimation of structural vector autoregressive models via LU decomposition
    Masato Shimokawa, Kou Fujimori
    arXiv:2503.12378, Mar. 2025
  • Two step estimations via the Dantzig selector for models of stochastic processes with high-dimensional parameters
    Kou Fujimori and Koji Tsukuda
    arXiv:2404.00888, Apr. 2024
  • A test for counting sequences of integer-valued autoregressive models.
    Yuichi Goto and Kou Fujimori
    arXiv preprint arXiv:2307.10276, Jul. 2023
  • Moment convergence of the generalized maximum composite likelihood estimators for stationary determinantal point processes.
    Kou Fujimori, Sota Sakamoto and Yasutaka Shimizu
    Sep. 2019

Lectures, oral presentations, etc.

  • Two step estimations via the Dantzig selector for ergodic time series models
    Kou Fujimori and Koji Tsukuda
    Econometrics and Statistics (Ecosta2024), Jul. 2024
  • Two step estimations via the Dantzig selector for ergodic time series models
    藤森洸,佃康司
    日本数学会年会2024, 20 Mar. 2024, 日本数学会
  • Empirical likelihood methods for matrix-valued time series with long memory
    Kou Fujimori and Yan Liu
    IMS-APRM2024, 07 Jan. 2024
  • The Dantzig selector for semiparametric models of stochastic processes
    藤森洸,佃康司
    日本数学会秋季総合分科会2023, 23 Sep. 2023, 日本数学会
  • 高次元パラメータを含む確率過程のセミパラメトリックモデルに対するDantzig selector
    藤森洸,佃康司
    統計関連学会連合大会2023, 05 Sep. 2023
  • The Dantzig selector for semiparametric models of stochastic processes
    Kou Fujimori and Koji Tsukuda
    EcoSta2023, 01 Aug. 2023, CFE-CMStatistics, EcoSta, Waseda University, and IFMSE
  • Sparse Principal Component Analysis for High-dimensional Stationary Time Series.
    Kou Fujimori
    NUS-Waseda Workshop 2023., Mar. 2023
  • Sparse principal component analysis for high-dimensional stationary time series
    Kou Fujimori
    EcoSta 2022, 06 Jun. 2022
  • Moment convergence of the generalized maximum composite likelihood estimators for stationary determinantal point processes.
    Kou Fujimori
    EcoSta 2021, 25 Jun. 2021
  • Generalized maximum composite likelihood estimator for determinantal point processes
    藤森洸, 坂本創太, 清水泰隆
    日本数学会秋期総合分科会, 19 Sep. 2019, 日本数学会
  • The Dantzig selector for statistical models of stochastic processes in high-dimensional and sparse settings
    Kou Fujimori
    NSYSU-Waseda International Symposium Time series, Machine Learning and Causality Analysis, 02 Sep. 2019
  • The Dantzig selector for diffusion processes with covariates
    藤森洸, 西山陽一
    第11回日本統計学会春季集会, 05 Mar. 2017, 日本統計学会

Affiliated academic society

  • 日本統計学会
  • 日本数学会

Research Themes

  • 高次元Hawkes過程の統計解析手法の確立とその金融時系列データへの応用
    科学研究費補助金, 若手研究
    2021 - 2024