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Inhaltsangabe
Contribution to the theory of epidemics.- Study of some statistical models introduced by problems of physics.- Stationary and isotropic random functions.- On the estimation of a multivariate location parameter with squared error loss.- Some notes on Laplace.- Extension of the Kolmogorov-Smirnov test to regression alternatives.- First-passage percolation, subadditive processes, stochastic networks, and generalized renewal theory.- Direct product branching processes and related induced Markoff chains. I. Calculations of rates of approach to homozygosity.- Automatically controlled sequence of statistical procedures.- On the distribution of sums of independent random variables.- Limit solutions of sequences of statistical games.- Some remarks on statistical inference.- Approximation of improper prior measures by prior probability measures.- Stationary Gaussian processes satisfying the strong mixing condition and best predictable functionals.- Strong limit theorems for stochastic processes and orthogonality conditions for probability measures.
Contribution to the theory of epidemics.- Study of some statistical models introduced by problems of physics.- Stationary and isotropic random functions.- On the estimation of a multivariate location parameter with squared error loss.- Some notes on Laplace.- Extension of the Kolmogorov-Smirnov test to regression alternatives.- First-passage percolation, subadditive processes, stochastic networks, and generalized renewal theory.- Direct product branching processes and related induced Markoff chains. I. Calculations of rates of approach to homozygosity.- Automatically controlled sequence of statistical procedures.- On the distribution of sums of independent random variables.- Limit solutions of sequences of statistical games.- Some remarks on statistical inference.- Approximation of improper prior measures by prior probability measures.- Stationary Gaussian processes satisfying the strong mixing condition and best predictable functionals.- Strong limit theorems for stochastic processes and orthogonality conditions for probability measures.
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