A theory of contrasts for modified Freeman-Tukey statistics and its applications to Tukey's post-hoc tests for contingency tables.

Yoshio Takane

Yoshio Takane Eric J. Beh Rosaria Lombardo A theory of contrasts for modified Freeman-Tukey statistics and its applications to Tukey's post-hoc tests for contingency tables. 1423-1446 2025 March 40 Comput. Stat. 3 https://doi.org/10.1007/s00180-024-01537-7 db/journals/cstat/cstat40.html#TakaneBL25 streams/journals/cstat

Rosaria Lombardo Yoshio Takane Eric J. Beh Familywise decompositions of Pearson's chi-square statistic in the analysis of contingency tables. 629-649 2020 14 Adv. Data Anal. Classif. 3 https://doi.org/10.1007/s11634-019-00374-7 https://www.wikidata.org/entity/Q127252673 db/journals/adac/adac14.html#LombardoTB20

Sébastien Loisel Yoshio Takane Comparisons among several methods for handling missing data in principal component analysis (PCA). 495-518 2019 13 Adv. Data Anal. Classif. 2 https://doi.org/10.1007/s11634-018-0310-9 db/journals/adac/adac13.html#LoiselT19

Lixing Zhou Yoshio Takane Heungsun Hwang Dynamic GSCANO (Generalized Structured Canonical Correlation Analysis) with applications to the analysis of effective connectivity in functional neuroimaging data. 93-109 2016 101 Comput. Stat. Data Anal. https://doi.org/10.1016/j.csda.2016.03.001 https://www.wikidata.org/entity/Q114671400 db/journals/csda/csda101.html#ZhouTH16

Sébastien Loisel Yoshio Takane Partitions of Pearson's Chi-square statistic for frequency tables: a comprehensive account. 1429-1452 2016 31 Comput. Stat. 4 https://doi.org/10.1007/s00180-015-0619-1 db/journals/cstat/cstat31.html#LoiselT16

Jennifer C. Whitman Yoshio Takane Teresa Cheung Alexander Moiseev Urs Ribary Lawrence M. Ward Todd S. Woodward Acceptance of evidence-supported hypotheses generates a stronger signal from an underlying functionally-connected network. 215-226 2016 127 NeuroImage https://doi.org/10.1016/j.neuroimage.2015.12.011 https://www.wikidata.org/entity/Q40172667 db/journals/neuroimage/neuroimage127.html#WhitmanTCMRWW16

Todd S. Woodward Eva Feredoes Paul Metzak Yoshio Takane Dara S. Manoach Epoch-specific functional networks involved in working memory. 529-539 2013 65 NeuroImage https://doi.org/10.1016/j.neuroimage.2012.09.070 https://www.wikidata.org/entity/Q45716993 db/journals/neuroimage/neuroimage65.html#WoodwardFMTM13

Michel van de Velden Yoshio Takane Generalized canonical correlation analysis with missing values. 551-571 2012 27 Comput. Stat. 3 https://doi.org/10.1007/s00180-011-0276-y db/journals/cstat/cstat27.html#VeldenT12

Sébastien Loisel Yoshio Takane Generalized GIPSCAL re-revisited: a fast convergent algorithm with acceleration by the minimal polynomial extrapolation. 57-75 2011 5 Adv. Data Anal. Classif. 1 https://doi.org/10.1007/s11634-010-0083-2 db/journals/adac/adac5.html#LoiselT11

Yoshio Takane Kwanghee Jung Heungsun Hwang Regularized reduced rank growth curve models. 1041-1052 2011 55 Comput. Stat. Data Anal. 2 https://doi.org/10.1016/j.csda.2010.08.012 db/journals/csda/csda55.html#TakaneJH11

Yoshio Takane Kwanghee Jung Heungsun Hwang An acceleration method for Ten Berge et al.'s algorithm for orthogonal INDSCAL. 409-428 2010 25 Comput. Stat. 3 https://doi.org/10.1007/s00180-010-0184-6 db/journals/cstat/cstat25.html#TakaneJH10

Yoshio Takane Sunho Jung Tests of ignoring and eliminating in nonsymmetric correspondence analysis. 315-340 2009 3 Adv. Data Anal. Classif. 3 https://doi.org/10.1007/s11634-009-0054-7 db/journals/adac/adac3.html#TakaneJ09

Yongge Tian Yoshio Takane The inverse of any two-by-two nonsingular partitioned matrix and three matrix inverse completion problems. 1294-1304 2009 57 Comput. Math. Appl. 8 https://doi.org/10.1016/j.camwa.2009.01.025 db/journals/cma/cma57.html#TianT09

Yoshio Takane Sunho Jung Regularized nonsymmetric correspondence analysis. 3159-3170 2009 53 Comput. Stat. Data Anal. 8 https://doi.org/10.1016/j.csda.2008.09.004 db/journals/csda/csda53.html#TakaneJ09

Yoshio Takane Heungsun Hwang Regularized linear and kernel redundancy analysis. 394-405 2007 52 Comput. Stat. Data Anal. 1 https://doi.org/10.1016/j.csda.2007.02.014 db/journals/csda/csda52.html#TakaneH07

Yoshio Takane Haruo Yanai Heungsun Hwang An improved method for generalized constrained canonical correlation analysis. 221-241 2006 50 Comput. Stat. Data Anal. 1 https://doi.org/10.1016/j.csda.2004.07.016 db/journals/csda/csda50.html#TakaneYH06

Yoshio Takane Heungsun Hwang An extended redundancy analysis and its applications to two practical examples. 785-808 2005 49 Comput. Stat. Data Anal. 3 https://doi.org/10.1016/j.csda.2004.06.004 db/journals/csda/csda49.html#TakaneH05

Yoshio Takane Michael A. Hunter Constrained Principal Component Analysis: A Comprehensive Theory. 391-419 2001 12 Appl. Algebra Eng. Commun. Comput. 5 https://doi.org/10.1007/s002000100081 db/journals/aaecc/aaecc12.html#TakaneH01

Randal A. Koene Yoshio Takane Discriminant Component Pruning: Regularization and Interpretation of Multi-Layered Back-Propagation Networks. 783-802 1999 11 Neural Comput. 3 db/journals/neco/neco11.html#KoeneT99 https://doi.org/10.1162/089976699300016665 https://www.wikidata.org/entity/Q33543285

Thomas R. Shultz Yuriko Oshima-Takane Yoshio Takane Analysis of Unstandardized Contributions in Cross Connected Networks. 601-608 https://proceedings.neurips.cc/paper_files/paper/1994/hash/7504adad8bb96320eb3afdd4df6e1f60-Abstract.html http://nips.djvuzone.org/djvu/nips07/0601.djvu 1994 conf/nips/1994 NIPS db/conf/nips/nips1994.html#ShultzOT94 Eric J. Beh Teresa Cheung Eva Feredoes Michael A. Hunter Heungsun Hwang Kwanghee Jung Sunho Jung Randal A. Koene Sébastien Loisel Rosaria Lombardo Dara S. Manoach Paul Metzak Alexander Moiseev Yuriko Oshima-Takane Urs Ribary Thomas R. Shultz Yongge Tian Michel van de Velden Lawrence M. Ward Jennifer C. Whitman Todd S. Woodward Haruo Yanai Lixing Zhou