International Conferences
Yamashita, N. (2024) Matrix decomposition structural equation modeling and its generalization, IASC-ARS 2024, Taipei.
Yamashita, N. (2024) Exploratory extension of generalized structured component analysis, IMPS2024, Prague.
Yamashita, N. (2023) Two extensions of extended redundancy analysis for exploratory data analysis, ClaDAG2023, Salerno.
Yamashita, N. (2023) Simultaneous orthogonal rotation of parameter matrices in generalized structured component analysis, DSSV2023, Antwerp.
Yamashita, N. (2022) Two-stage target rotation with computational efficiency by asymmetric least squares criterion, COMPSTAT2022, Bologna.
Yamashita, N. (2019) Procrustes penalty function for matching matrices to targets with its applications, IMPS2019, Santiago.
Yamashita, N. & Adachi, K. (2018) A New Factor Analysis Procedure Constrained by Layered Simple Structure, IMPS2018, NewYork.
Yamashita, N. & Adachi, K. (2017) Layered Multivariate Regression and Its Applications. IFCS2017, Tokyo.
Yamashita, N. & Adachi, K. (2017) SPARK: A new clustering algorithm for obtaining sparse and interpretable centroid. IMPS2017, Switzerland.
Mayekawa, S., Oki, Y., Yamamoto, Y. & Yamashita, N. (2017) Factor rotation to a simple structure with prescribed inter-factor correlation. IMPS2017, Switzerland.
Yamashita, N. (2012) A new factor rotation method to simplicity with joint estimation of optimal target matrix having perfect cluster structure. ERCIM2012, Spain.
Yamashita, N. & Mayekawa, S. (2012) A new biplot procedure with joint classification of objects and variables by fuzzy c-means clustering. COMPSTAT2012, Cyprus.
Internal Conferences
Yamashita, N. (2025) Exploratory matrix decomposition structural equation modeling with L1 penalty, The 39th Annual Meeting of Japanese Society of Computational Statistics, Kagoshima.
Yamashita, N. (2025) Regularized matrix decomposition structural equation modeling, The 44th Annual Meeting of Japanese Society of Classification, Hakodate.
Yamashita, N. & Mayekawa, S. (2024) Identification of factor scores as a solution of simultaneous equations, Symposium of Japanese Society of Classification 2024, Nagoya.
Yamashita, N. & Mayekawa, S. (2024) Factor scores and its indeterminacy as a solution of simultaneous equations, The 38th Symposium of Japanese Society of Computational Statistics, Okayama.
Yamashita, N. (2024) Matrix decomposition structural equation modeling and its extension, Japanese Joint Statistical Meeting 2024, Tokyo.
Yamashita, N. (2024) Identification of factor scores by regression, The 43th Annual Meeting of Japanese Society of Classification, Akita.
Yamashita, N. (2024) Simultaneous rotation of parameter matrices in exploratory structural equation modeling. The 38th Annual Meeting of Japanese Society of Computational Statistics, Yamagata.
Yamashita, N. (2023) Exploratory extended redundancy analysis using sparse estimation and rotation of parameter matrices. The 37th Conference of Japanese Society of Computational Statistics, Obihiro.
Yamashita, N. (2023) Simultaneous simplification of parameter matrices in structural equation modeling. The 42th Conference of Japanese Society of Classification, Kyoto.
Yamashita, N. (2022). Extended redundancy analysis permits multiple components and simultaneous rotation of parameter matrices. The 36th Symposium of Japanese Society of Computational Statistics, Toyama.
Yamashita, N. (2022). Rotation of parameter matrices in generalized structured component analysis. Symposium of Japanese Society of Classification 2022, Wakkanai.
Yamashita, N. (2022) ExERA: Exploratory extended redundancy analysis, The 50th Conference of the Conference of the Behaviometric Society of Japan, Naha.
Yamashita, N. (2021) Two-stage Procrustes rotation by asymmetric least squares criterion, Japanese Joint Statistical Meeting 2021, Virtual.
Yamashita, N. (2019) Optimal transformation of dataset by factor score indeterminacy, The 45th Conference of Japanese Society of Classification, Tokyo.
Yamashita, N. & Ogi, T. (2016) External thermal stimuli biases sensory impression of odor. The 21st Conference of Japanese Society of Virtual Reality, Tsukuba.
Yamashita, N. (2016) A new K-means clustering procedure for interpretable centroid matrix. Japanese Joint Statistical Meeting 2016, Kanazawa.
Yamashita, N. & Ogi, T. (2015) Irrelevant tactile stimuli biases sensory impression of odor. Human Interface Symposium 2015, Hakodate.
Yamashita, N. (2016) Interpretability of solution in multivariate analysis -Cluster-wise approach and sparse estimation of solution-, Research Working Group of "Matrix Decomposition Multivariate Data Analysis", Tokyo.
Yamashita, N. (2012) Factor rotation with optimal estimation of target matrix. The 26th Symposium of Japanese Society of Computational Statistics, Tokyo.
Yamashita, N. (2012) Sparse multivariate multiple regression analysis and its application. The 40th Conference of the Behaviormetric Society of Japan, Niigata.
Yamashita, N. (2011) A new formulation of generalized canonical correlation analysis. The 39th Conference of the Behaviormetric Society of Japan, Okayama.
Yamashita, N. (2011) A new biplot procedure for dimensional reduction with fuzzy clustering. Japanese Joint Statistical Meeting 2011, Fukuoka.
Yamashita, N. (2011) New formulation of canonical correlation analysis and rotation of structure matrix to simple structure. The 25th Conference of Japanese Society of Computational Statistics, Hakodate.