Makoto Aoshima

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Person:225687

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zbMath Open aoshima.makotoMaRDI QIDQ225687

List of research outcomes

PublicationDate of PublicationType
Asymptotic properties of hierarchical clustering in high-dimensional settings2024-01-04Paper
Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data2022-01-20Paper
Geometric classifiers for high-dimensional noisy data2022-01-03Paper
https://portal.mardi4nfdi.de/entity/Q50114682021-08-27Paper
Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings2021-08-05Paper
Hypothesis tests for high-dimensional covariance structures2021-07-20Paper
Bias-corrected support vector machine with Gaussian kernel in high-dimension, low-sample-size settings2021-05-03Paper
Geometric consistency of principal component scores for high‐dimensional mixture models and its application2020-11-30Paper
A quadratic classifier for high-dimension, low-sample-size data under the strongly spiked eigenvalue model2020-05-13Paper
PCA consistency for the power spiked model in high-dimensional settings2020-01-13Paper
Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model2019-10-18Paper
Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model2019-08-09Paper
Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models2019-06-28Paper
A test of sphericity for high-dimensional data and its application for detection of divergently spiked noise2019-04-29Paper
Statistical inference for high-dimension, low-sample-size data2018-06-18Paper
A survey of high dimension low sample size asymptotics2018-05-11Paper
Two-sample tests for high-dimension, strongly spiked eigenvalue models2018-01-26Paper
Support vector machine and its bias correction in high-dimension, low-sample-size settings2017-10-20Paper
Non-asymptotic results for Cornish-Fisher expansions2016-11-17Paper
High-dimensional inference on covariance structures via the extended cross-data-matrix methodology2016-09-13Paper
Reconstruction of a high-dimensional low-rank matrix2016-05-03Paper
Asymptotic second-order consistency for two-stage estimation methodologies and its applications2016-01-15Paper
Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context2015-12-28Paper
Geometric Classifier for Multiclass, High-Dimensional Data2015-10-20Paper
Asymptotic normality for inference on multisample, high-dimensional mean vectors under mild conditions2015-07-31Paper
Effective methodologies for high-dimensional data2014-11-18Paper
A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data2014-09-10Paper
PCA consistency for the power spiked model in high-dimensional settings2014-01-13Paper
Correlation tests for high-dimensional data using extended cross-data-matrix methodology2014-01-10Paper
Inference on high-dimensional mean vectors with fewer observations than the dimension2013-01-11Paper
Effective PCA for high-dimension, low-sample-size data with noise reduction via geometric representations2012-03-13Paper
Two-Stage Procedures for High-Dimensional Data2011-12-28Paper
Authors' Response2011-12-28Paper
Two-Stage Procedures for Estimating the Difference of Means when the Sampling Cost is Different2011-06-20Paper
Effective PCA for high-dimension, low-sample-size data with singular value decomposition of cross data matrix2010-09-01Paper
The Professional Career and Contributions of Professor Masafumi Akahira2010-08-19Paper
Intrinsic Dimensionality Estimation of High-Dimension, Low Sample Size Data withD-Asymptotics2010-08-19Paper
Asymptotically Optimal Allocation for Multiple Comparisons with a Control when Variances are Unknown and Unequal2010-05-14Paper
PCA Consistency for Non-Gaussian Data in High Dimension, Low Sample Size Context2009-11-16Paper
Optimal discriminant functions for normal populations2008-12-10Paper
Double shrink methodologies to determine the sample size via covariance structures2008-12-08Paper
https://portal.mardi4nfdi.de/entity/Q34201512007-02-01Paper
Second-Order Efficiency for Two-Stage Estimation of a Linear Function of Normal Mean Vectors when Covariance Matrices Have Some Structures2006-09-04Paper
https://portal.mardi4nfdi.de/entity/Q33741362006-03-09Paper
https://portal.mardi4nfdi.de/entity/Q57119062005-12-08Paper
Asymptotic Second-Order Efficiency for Multivariate Two-Stage Estimation of a Linear Function of Normal Mean Vectors2005-01-18Paper
Selection of the Best Normal Population: A New Exact Solution, Asymptotically Optimal Whenk=22004-09-06Paper
Percentage points of the largest among Student's \(T\) random variable2004-08-10Paper
TWO-STAGE ESTIMATION OF A LINEAR FUNCTION OF NORMAL MEANS WITH SECOND-ORDER APPROXIMATIONS2004-03-04Paper
Second-order properties of improved two-stage procedure for a multivariate normal distribution2003-12-10Paper
Sequential Procedures for Selecting the Most Probable Multinomial Cell When a Nuisance Cell Is Present2003-04-07Paper
BOUNDED RISK POINT ESTIMATION OF A LINEAR FUNCTION OF K MULTINORMAL MEAN VECTORS2003-03-27Paper
https://portal.mardi4nfdi.de/entity/Q45486002002-08-26Paper
Fixed-width confidence interval for a lognormal mean2002-08-13Paper
SAMPLE SIZE DETERMINATION FOR MULTIPLE COMPARISONS WITH COMPONENTS OF A LINEAR FUNCTION OF MEAN VECTORS2002-07-28Paper
A TWO-STAGE PROCEDURE FOR FIXED-SIZE CONFIDENCE REGION WHEN COVARIANCE MATRICES HAVE SOME STRUCTURES2002-06-10Paper
A two-stage procedure for estimating an linear function of \(k\) multinormal mean vectors when covariance matrices are unknown2002-05-20Paper
Multivariate multistage methodologies for simultaneous all pairwise comparisons.2002-01-29Paper
https://portal.mardi4nfdi.de/entity/Q27424982001-09-23Paper
https://portal.mardi4nfdi.de/entity/Q27425002001-09-23Paper
SECOND-ORDER PROPERTIES OF A TWO-STAGE PROCEDURE FOR COMPARING SEVERAL TREATMENTS WITH A CONTROL2001-07-05Paper
https://portal.mardi4nfdi.de/entity/Q45055672000-09-27Paper
Two stage procedure having exact consistency and second order properties for the s best selection2000-01-01Paper
A two-stage procedure for selecting the largest multinomial cell probability when nuisance cell is present1999-10-04Paper
Second-order properties of a two-stage fixed-size confidence region when the covariance matrix has a structure1999-07-07Paper
A note on robustness of two-stage procedure for a multivariate compounded normal distribution1998-12-14Paper
Fixed-width simultaneous confidence intervals for multinormal means in several intraclass correlation models1998-11-25Paper
Two_stage procedures for estimating a linear function of multinormal mean vectors1998-04-05Paper
Designing Experiments for Selecting an Exponential Population with a Large Location and a Large Scale1998-03-11Paper
An asymptotically optimal fixed-width confidence interval for the difference of two normal means1998-02-08Paper
Two-stage procedures for the difference of two multinormal means with covariance matrices different only by unknown scalar multipliers1997-09-01Paper
Fixed-Size Confidence Regions for the Multinormal Mean in an Intraclass Correlation Model1997-02-09Paper
In Heteroscedastic Simultaneous Inference, the Heteroscedastic Method II (Based on Healy's Two-Stage Sampling) is more Economical than the Original HM (Which is Based on Chatterjee's Sampling)1995-10-18Paper
Healy's sample size of two-stage procedure in heteroscedastic simultaneous inference1995-08-17Paper
Heteroscedastic Discriminant Analysis with a Preassigned Misclassification Probability1993-10-18Paper
https://portal.mardi4nfdi.de/entity/Q39877331992-06-28Paper
https://portal.mardi4nfdi.de/entity/Q39900591992-06-28Paper
https://portal.mardi4nfdi.de/entity/Q33617371990-01-01Paper
https://portal.mardi4nfdi.de/entity/Q34778281989-01-01Paper

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