Takemura, Akimichi - Department of Mathematical Informatics, University of Tokyo

• Calculating minimum k-unsafe and maximum k-safe sets of variables for disclosure risk assessment of
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• --tube Euler --X(t), t I, 0, 1 X(t) = p
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• Global cross section and its associated decomposable distributions
• Markov chain Monte Carlo exact tests for incomplete two-way contingency tables
• Some superpopulation models for estimating the number of population uniques
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• Tail probability via tube formula and Euler characteristic method when critical radius is zero
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• Rankings generated by spherical discriminant analysis Hidehiko Kamiya
• Distribution of eigenvalues and eigenvectors of Wishart matrix when the population eigenvalues are
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• SHRINKAGE TO SMOOTH NON-CONVEX CONE : PRINCIPAL COMPONENT ANALYSIS
• Theory of cross sectionally contoured distributions and its applications
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• Characterization of Rankings Generated by Linear Discriminant Analysis
• Application of tube formula to distributional problems in multiway layouts
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• Parallel matching for ranking all teams in a Kei Kobayashi
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• On rankings generated by pairwise linear discriminant analysis of m populations
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• Evaluation of per-record identification risk by additive modeling of interaction for contingency table
• Minimal basis for connected Markov chain over 3 3 K contingency tables with fixed two-dimensional marginals
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• A proof of independent Bartlett correctability of nested likelihood ratio tests
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• Some characterizations of minimal Markov basis for sampling from discrete conditional distributions
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• On Reduction of Finite Sample Variance by Extended Latin Hypercube Sampling
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• CIRJE Discussion Papers can be downloaded without charge from: http://www.e.u-tokyo.ac.jp/cirje/research/03research02dp.html
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• Maximum Covariance Difference Test for Equality of Two Covariance Matrices
• Maximum of Gaussian field on piecewise smooth domain: Equivalence of tube method and Euler
• Tail probabilities of the maxima of multilinear forms and their applications
• On the relation between logarithmic series model and other superpopulation models useful for
• James-Stein type estimator by shrinkage to closed convex set with smooth boundary
• Asymptotic Expansion of Null Distribution of Likelihood Ratio Statistic in Multiparameter Exponential Family to an Arbitrary Order
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• Local recoding by maximum weight matching for disclosure control of microdata sets
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• Tail probabilities of the limiting null distributions of the Anderson-Stephens statistics
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• Weights of 2 distribution for smooth or
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