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Yutaka Kano
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2010 – 2019
- 2018
- [j10]Kosuke Morikawa, Yutaka Kano:
Identification problem of transition models for repeated measurement data with nonignorable missing values. J. Multivar. Anal. 165: 216-230 (2018) - 2015
- [j9]Nobuoki Eshima, Minoru Tabata
, Claudio Giovanni Borroni
, Yutaka Kano:
An Entropy-Based Approach to Path Analysis of Structural Generalized Linear Models: A Basic Idea. Entropy 17(7): 5117-5132 (2015) - 2013
- [j8]Muni S. Srivastava, Shota Katayama, Yutaka Kano:
A two sample test in high dimensional data. J. Multivar. Anal. 114: 349-358 (2013) - [j7]Shota Katayama, Yutaka Kano, Muni S. Srivastava:
Asymptotic distributions of some test criteria for the mean vector with fewer observations than the dimension. J. Multivar. Anal. 116: 410-421 (2013) - [j6]Muni S. Srivastava, Shota Katayama, Yutaka Kano:
Corrigendum to "A two sample test in high dimensional data" [J. Multivariate Analysis 114 (2013) 349-358]. J. Multivar. Anal. 119: 209 (2013) - 2012
- [j5]Yun-Xian Li, Yutaka Kano, Jun-Hao Pan, Xin-Yuan Song:
A criterion-based model comparison statistic for structural equation models with heterogeneous data. J. Multivar. Anal. 112: 92-107 (2012) - [i1]Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer:
Discovery of non-gaussian linear causal models using ICA. CoRR abs/1207.1413 (2012) - 2011
- [j4]Yutaka Kano, Keiji Takai:
Analysis of NMAR missing data without specifying missing-data mechanisms in a linear latent variate model. J. Multivar. Anal. 102(9): 1241-1255 (2011)
2000 – 2009
- 2009
- [j3]Keiji Takai, Yutaka Kano:
Simple Computation of Maximum Likelihood Estimates in Latent Class Model with Equality and Constant Constraints. Commun. Stat. Simul. Comput. 38(3): 654-665 (2009) - 2008
- [j2]Keiji Takai, Yutaka Kano:
Test of independence in a 2×2 contingency table with nonignorable nonresponse via constrained EM algorithm. Comput. Stat. Data Anal. 52(12): 5229-5241 (2008) - 2006
- [j1]Shohei Shimizu
, Aapo Hyvärinen
, Patrik O. Hoyer, Yutaka Kano:
Finding a causal ordering via independent component analysis. Comput. Stat. Data Anal. 50(11): 3278-3293 (2006) - [c3]Patrik O. Hoyer, Shohei Shimizu
, Aapo Hyvärinen, Yutaka Kano, Antti J. Kerminen:
New Permutation Algorithms for Causal Discovery Using ICA. ICA 2006: 115-122 - [c2]Shohei Shimizu
, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer, Antti J. Kerminen:
Testing Significance of Mixing and Demixing Coefficients in ICA. ICA 2006: 901-908 - 2005
- [c1]Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer:
Discovery of Non-gaussian Linear Causal Models using ICA. UAI 2005: 525-533
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