Kei Kobayashi

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SDEs Driven by a Time-Changed Lévy Process and Their Associated Time-Fractional Order Pseudo-Differential Equations

Marjorie G. Hahn, S. Umarov, Kei Kobayashi, 2009, 0907.0253.

On the capacity of a neuron with a non-monotone output function

Kei Kobayashi, 1991 .

Stochastic Calculus for a Time-Changed Semimartingale and the Associated Stochastic Differential Equations

Kei Kobayashi, 2009, 0906.5385.

Entropy-Regularized Optimal Transport on Multivariate Normal and q-normal Distributions

Kei Kobayashi, Qijun Tong, 2020, Entropy.

Computational algebraic methods in efficient estimation

H. Wynn, Kei Kobayashi, 2013, 1310.6515.

Information Criteria for Kernel Machines

Fumiyasu Komaki, Kei Kobayashi, F. Komaki, 2005 .

Approximation of multiplicatively weighted crystal growth Voronoi diagram and its application

K. Sugihara, Kei Kobayashi, 2002 .

Representing Hierarchical Structure by Using Cone Embedding

Kei Kobayashi, Dai Takehara, 2021, 2102.08014.

SDEs Driven by a Time-Changed Lévy Process and Their Associated Time-Fractional Order Pseudo-Differential Equations

Marjorie G. Hahn, S. Umarov, Kei Kobayashi, 2010, Journal of Theoretical Probability.

Empirical geodesic graphs and CAT(k) metrics for data analysis

H. Wynn, Kei Kobayashi, 2019, Statistics and Computing.

Information criteria for support vector machines

Fumiyasu Komaki, Kei Kobayashi, F. Komaki, 2006, IEEE Transactions on Neural Networks.

MATHEMATICAL ENGINEERING TECHNICAL REPORTS Information Criteria for Kernel Machines

Fumiyasu Komaki, Kei Kobayashi, F. Komaki, 2005 .

Fokker-Planck-Kolmogorov equations associated with time-changed fractional Brownian motion

Marjorie G. Hahn, S. Umarov, Kei Kobayashi, 2010, 1002.1494.

Entropy-Regularized Optimal Transport on Multivariate Normal and q-normal Distributions

Kei Kobayashi, Qijun Tong, Kei Kobayashi, 2020, Entropy.

Spectral Heat Content for Time-Changed Killed Brownian Motions

Kei Kobayashi, Hyunchul Park, 2020, Journal of Theoretical Probability.

On time-changed Gaussian processes and their associated Fokker-Planck-Kolmogorov equations

Marjorie G. Hahn, S. Umarov, Kei Kobayashi, 2010, 1011.2473.

Parameter estimation for one-sided heavy-tailed distributions

Kei Kobayashi, Phillip A. Kerger, 2020, 2005.03662.

Why is the Mahalanobis Distance Effective for Anomaly Detection?

Kei Kobayashi, Ryo Kamoi, 2020, ArXiv.

Empirical geodesic graphs and CAT(k) metrics for data analysis

Henry P. Wynn, Kei Kobayashi, H. Wynn, 2014, Statistics and Computing.

Erratum to “Strong approximation of stochastic differential equations driven by a time-changed Brownian motion with time-space-dependent coefficients” [J. Math. Anal. Appl. 476 (2) (2019) 619–636]

Kei Kobayashi, Sixian Jin, 2020 .

Strong approximation of stochastic differential equations driven by a time-changed Brownian motion with time-space-dependent coefficients

Kei Kobayashi, Sixian Jin, Kei Kobayashi, 2019, Journal of Mathematical Analysis and Applications.

Revisiting the Vector Space Model: Sparse Weighted Nearest-Neighbor Method for Extreme Multi-Label Classification pdf

Mihoko Minami, Kei Kobayashi, Tatsuhiro Aoshima, 2018, ArXiv.

Small ball probabilities for a class of time-changed self-similar processes

Kei Kobayashi, 2015, 1502.07777.

Representing Hierarchical Structured Data Using Cone Embedding

Kei Kobayashi, Daisuke Takehara, 2023, Mathematics.

Crystal Voronoi diagram and its applications

Kokichi Sugihara, Kei Kobayashi, K. Sugihara, 2001, Future Gener. Comput. Syst..

Effect of random time changes on Loewner hulls

Kei Kobayashi, Joan R. Lind, Andrew Starnes, 2018, Revista Matemática Iberoamericana.