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Matsuda, Takeru

  1. Information Geometry of Wasserstein Statistics on Shapes and Affine Deformations
    2023/07/24 by Amari, Shun-ichi, Matsuda, Takeru · 9 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  2. A Stein Goodness-of-fit Test for Directional Distributions
    2020/02/17 by Wenkai Xu, Xu, Wenkai, Takeru Matsuda +1 · 2 citations
    Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Distribution Estimation and Applications #Statistical Methods and Bayesian Inference
  3. Interpretable Stein Goodness-of-fit Tests on Riemannian Manifolds
    2021/03/01 by Wenkai Xu, Xu, Wenkai, Takeru Matsuda +1 · 2 citations
    Mathematics · #FOS: Computer and information sciences #Geometric Analysis and Curvature Flows #Methodology (stat.ME) #Numerical methods in inverse problems
  4. Wasserstein Statistics in One-dimensional Location-Scale Model
    2020/07/21 by Шун-ичи Амари, Takeru Matsuda, Amari, Shun-ichi +1 · 3 citations
    Mathematics · #Morphological variations and asymmetry #Geometric Analysis and Curvature Flows #Point processes and geometric inequalities
  5. Modelling the discretization error of initial value problems using the Wishart distribution
    2023/06/07 by Marumo, Naoki, Matsuda, Takeru, Miyatake, Yuto · 2 citations
    #Data Analysis #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Methodology (stat.ME) #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Statistics Theory (math.ST) #Statistics and Probability (physics.data-an)
  6. Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression
    2024/11/13 by Yuto Miyatake, Kaoru Irie, Miyatake, Yuto +3 · 3 citations
    Computer Science · Engineering · #Data Analysis #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Numerical Analysis (math.NA) #Statistics and Probability (physics.data-an)
  7. Information geometry of operator scaling
    2020/04/30 by Matsuda, Takeru, Soma, Tasuku · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Information Theory (cs.IT) #Mathematical Physics (math-ph) #Optimization and Control (math.OC) #Quantum Physics (quant-ph)
  8. On the attainment of the Wasserstein--Cramer--Rao lower bound
    2025/06/15 by Hayato Nishimori, Nishimori, Hayato, Takeru Matsuda +1 · 6 citations
    Mathematics · #Advanced Combinatorial Mathematics #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Mathematical Inequalities and Applications #Point processes and geometric inequalities #Statistics Theory (math.ST)
  9. Polynomial approximation of noisy functions
    2024/10/03 by Takeru Matsuda, Yuji Nakatsukasa, Matsuda, Takeru +1 · 3 citations
    Mathematics · #Approximation Theory and Sequence Spaces #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Statistics Theory (math.ST)
  10. Minimaxity under the half-Cauchy prior
    2024/06/13 by Maruyama, Yuzo, Matsuda, Takeru · 1 citation
    #62C20 #FOS: Mathematics #Statistics Theory (math.ST)
  11. Asymptotic mixed normality of maximum likelihood estimator for Ewens--Pitman partition
    2022/07/05 by Koriyama, Takuya, Matsuda, Takeru, Komaki, Fumiyasu · 1 citation
    #FOS: Mathematics #Probability (math.PR) #Statistics Theory (math.ST)