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Asymptotic optimal designs under long-range dependence error structure
asymptotic optimal designs linear regression long-range dependence
2010/3/9
We discuss the optimal design problem in regression models with long-range dependence error
structure. Asymptotic optimal designs are derived and it is demonstrated that these designs
depend only in...
Asymptotic expansions for conditional distributions: The lattice case
Asymptotic expansions conditional distributions The lattice case
2009/9/24
Asymptotic expansions for conditional distributions: The lattice case。
Non-asymptotic minimax risk for Hellinger balls
Non-asymptotic minimax risk Hellinger balls
2009/9/24
Non-asymptotic minimax risk for Hellinger balls。
An asymptotic fixed-precision confidence interval for the minimum of a quandratic regression function
An asymptotic fixed-precision confidence interval a quandratic regression function
2009/9/23
An asymptotic fixed-precision confidence interval for the minimum of a quandratic regression function。
Asymptotic representations of self-normalized sums
Asymptotic representations self-normalized sums
2009/9/23
Asymptotic representations of self-normalized sums。
Extreme value theory for asymptotic stationary sequences
Extreme value theory asymptotic stationary sequences
2009/9/23
Extreme value theory for asymptotic stationary sequences。
Asymptotic behaviour of the integral of a function on the level set of a mixing random field
Asymptotic behaviour the integral of a function the level set of a mixing random field
2009/9/23
Asymptotic behaviour of the integral of a function on the level set of a mixing random field。
Asymptotic multivariate normality for the subseries values of a general statistic form a stationary sequence - with applications to nonparametric confidence intervals
Asymptotic multivariate the subseries values of a general statistic a stationary sequence
2009/9/23
Asymptotic multivariate normality for the subseries values of a general statistic form a stationary sequence - with applications to nonparametric confidence intervals。
Asymptotic nonparametric spline density estimation
Asymptotic nonparametric spline density estimation
2009/9/23
In [5] we have announced a h e a r spllne method for
nonparametric density and distribution estimation on the real line. In
this paper, asymptotic properties of a large family of such estimators
a...
Testing Gaussian sequences and asymptotic inversion of Toeplitz operators
Testing Gaussian sequences asymptotic inversion Toeplitz operators
2009/9/23
Testing Gaussian sequences and asymptotic inversion of Toeplitz operators。
Asymptotic theory of linear statistics in sampling proportional to size without replacement
Asymptotic theory of linear statistics sampling proportional size without replacement
2009/9/22
Consider an ordered sample that is selected from
a finite population successively without replacement and with probability
proportional to some measure of size. In this paper, we study the
asymptot...
In [12] it was proved that the process of waiting times
for single server queues is asymptotically stationary if
(1) a generic process X = (Xkk, 2 1) is asymptotically stationary,
(2) X satisfies c...
Asymptotic behavior for the surviving Brownian motion on the Sierpiński gasket with Poisson obstacles
Asymptotic behavior the surviving Brownian motion the Sierpiński gasket with Poisson obstacles
2009/9/22
A Brownian motion on the Sierpiriski gasket gets
absorbed at the boundary of a cloud of balls with centers distributed
according to an independent Poisson law. The aim of this paper is to
investiga...
The asymptotic consistency and efficiency of fixed-size sequential confidence sets
The asymptotic consistency and efficiency fixed-size sequential confidence sets
2009/9/22
In the paper, a sequential confidence set based on an
estimation process of a multivariate parameter is constructed. Under
the assumption that the estimation process scaled by an increasing
positiv...
An asymptotic viewpoint on high-dimensional Bayesian testing
Bayesian testing high-dimensional testing rates of testing functional data analysis goodness-of-t testing
2009/9/22
The Bayesian point-null testing problem is studied asymptotically
under a high-dimensional normal-means model. A noninformative prior structure
is proposed for general problems, and then rened for t...