Papers
An information criterion for detecting periodicities in functional time series
Computational Statistics and Data Analysis, June 2026, Vol. 224
Rinka Sagawa, Yan Liu, Valentin Patilea
Prediction error matrix under model misspecification for multivariate harmonic time series regression models
Scientiae Mathematicae Japonicae
Rinka Sagawa
Presentations
2026
• Rintaro Ichiya, Rinka Sagawa, Yan Liu, “Detection of dynamic instability in stochastic systems”, June 2026, International Symposium on Nonparametric Statistics - ISNPS 2026 (International conference, Invited lectures, In English)
• Rinka Sagawa, Yan Liu, Valentin Patilea, “Discriminant analysis for dependent noisy curves”, March 2026, Annual Meeting 2026 of the Mathematical Society of Japan.
• Rinka Sagawa, Yan Liu, Valentin Patilea, “Model selection for periodicity detection in functional time series”, Miyazaki Statistical Seminar: Covariance Geometry in Nonlinear Time Series, March 2026.
• Rinka Sagawa, “Prediction error matrix decomposition in multivariate harmonic regression models”, Waseda Statistical Seminar: Statistical Inference for Time Series and Non-Euclidean Data, March 2026.
2025
• Rinka Sagawa, Yan Liu, Valentin Patilea, “An information criterion for detecting periodicities in functional time series”, October 2025, ISI World Statistics Congress 2025 (International conference, Peer-reviewed, In English).
• Rintaro Ichiya, Rinka Sagawa, Yan Liu, “Detection of chaotic behaviors in stochastic systems”, September 2025, Autumn Meeting 2025 of the Mathematical Society of Japan.
• Rinka Sagawa “A statistical framework for estimating periodicity in multivariate time series”, September 2025, Joint Statistical Meeting of Japan 2025.
• Rinka Sagawa “Matrix decomposition for multivariate harmonic time series regression models”, August 2025, the 8th International conference on Econometrics and Statistics (EcoSta 2025) (International conference, Invited lectures, In English).
• Rinka Sagawa, “Prediction error under model misspecification for multivariate harmonic time series regression models”, March 2025, Annual Meeting 2025 of the Mathematical Society of Japan.
• Kazuaki Koizumi, Rinka Sagawa, Yan Liu, “Asymptotic theory of exponential smoothings”, March 2025, Annual Meeting 2025 of the Mathematical Society of Japan.
• Rinka Sagawa, Yan Liu, Valentin Patilea, “An information criterion for detecting periodicities in functional time series”, January 2025, KAKENHI Symposium 「データサイエンスにおける統計的理論の展開研究」
.
2024
• Rinka Sagawa, Yan Liu, Valentin Patilea, “Estimation of periodicities in functional time series using information criterion”, December 2024, IMS International Conference on Statistics and Data Science (ICSDS) (International conference, in English).
• Rinka Sagawa, Yan Liu, Valentin Patilea, “Model selection criterion for periodicities in functional time series”, November 2024, KAKENHI Symposium 「構造化されたデータ解析とその統計・機械学習モデルの新展開」 (In English).
• Rinka Sagawa, “Forecasting climate change with functional time series”, September 2024, W-SPRING / W-SPRING-AI Doctoral Forum.
• Rinka Sagawa, Yan Liu, “An information criterion for detecting periodicities in functional time series”, September 2024, Autumn Meeting 2024 of the Mathematical Society of Japan.
• Rinka Sagawa, Yan Liu, 「関数時系列の周期推定とモデル選択規準の提案」, March 2024, The 18th Spring Meeting of the Japan Statistical Society.
Awards
Young Researcher Encouragement Award
Research Institute for Science and Engineering, Waseda University (Early Bird Program), March 2026
The 4th ISI Tokyo Congress Memorial Encouragement Award
The Japan Statistical Society, September 2025.
The IMS 2024 ISCDS Student Travel Award
2024 IMS International Conference on Statistics and Data Science (ICSDS), December 2024.
Grants
Pioneering Research Initiated by the Next Generation (SPRING)
Japan Science and Technology Agency (JST), Research period: Apr 2024 - Mar 2026