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Asymptotic study of canonical correlation analysis：from matrix and analytic approach to operator and tensor approach
multivariate analysis canonical correlation analysis asymptotic study operator coordinatefree distribution-free
2009/2/23
Asymptotic study of canonical correlation analysis gives the opportunity to present the different steps of an asymptotic study and to show the interest of an operator and tensor approach of multidimen...
Asymptotic normality of the integrated square error of a density estimator in the convolution model
convolution density estimation nonparametric density estimation central limit theorem integrated squared error noisy observations
2009/2/23
In this paper we consider a kernel estimator of a density in a convolution model and give a central limit theorem for its integrated square error (ISE). The kernel estimator is rather classical in min...
Functional asymptotic confidence intervals for a common mean of independent random variables
Lindeberg’s condition symmetric random variable Student statistic Student process Wiener process
2010/3/17
We consider independent random variables (r.v.’s) with a common
mean μ that either satisfy Lindeberg’s condition, or are symmetric
around μ. Present forms of existing functional central limit theore...
The Asymptotic Efficiency of Improved Prediction Intervals
Asymptotic efficiency estimative prediction limit improvedprediction limit
2010/3/17
Barndorff-Nielsen and Cox (1994, p.319) modify an estimative
prediction limit to obtain an improved prediction limit with better coverage properties.
Kabaila and Syuhada (2008) present a simulation-...
Asymptotic enumeration of sparse nonnegative integer matrices with specified row and column sums
asymptotic enumeration non-negative integer matrices contingency tables switchings
2010/4/30
Let s = (s1, . . . , sm) and t = (t1, . . . , tn) be vectors of nonnegative integer-valued
functions of m, n with equal sum S = Pmi=1 si = Pnj=1 tj . LetM(s, t) be the number
of m × n matrices with ...
Linear Prediction of Long-Memory Processes：Asymptotic Results on Mean-squared Errors
Linear Prediction Long-Memory Processes Asymptotic Results Mean-squared Errors
2010/4/29
Linear Prediction of Long-Memory Processes：Asymptotic Results on Mean-squared Errors。
Recursive Parameter Estimation：Asymptotic expansion
recursive estimation estimating equations stochasticapproximation.
2010/4/29
We consider estimation procedures which are recursive in the
sense that each successive estimator is obtained from the previous
one by a simple adjustment. The model considered in the paper is
very...