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Latin hypercube designs have been widely used in computer experiments with quantitative factors. When there are both qualitative and quantitative fac-tors in computer experiments, sliced space-filling...
The extremaltprocess was proposed in the literature for modelling spatial extremes within a copula framework based on the extreme value limit of ellipticalt distribu-tions (Davison, Padoan and Ribatet...
To better understand the spatial structure of large panels of economic and financial time series and provide a guideline for constructing semiparametric models, this paper first considers estimating a...
Supersaturated design (SSD) has received much recent interest because of its potential in factor screening experiments. In this pa- per, we provide equivalent conditions for two columns to be fully ...
Building higher-dimensional copulas is generally recognized as a difficult problem. Regular-vines using bivariate copulas provide a flexible class of high-dimensional dependency models. In large dim...
Kernel density estimation (KDE) is a popular statistical technique for estimating the underlying density distribution with minimal assumptions. Although they can be shown to achieve asymptotic estimat...
Testing covariance structure is of significant interest in many areas of statistical analysis and construction of compressed sensing matrices is an important problem in signal processing. Motivated b...
We study the scenario of graph-based clustering algorithms such as spectral clustering. Given a set of data points, one first has to construct a graph on the data points and then apply a graph cluste...
For any class of one-sided 1− confidence intervals with a certain monotonicity ordering on the random confidence limit, the smallest interval, in the sense of the set inclusion for the differ...
We consider the construction of unconditional bootstrap- t prediction intervals for stationary time series. Our approach relies on the sieve bootstrap resampling scheme introduced by Biihlmann. Ba...
In Markov chain Monte Carlo (MCMC) sampling considerable thought goes into constructing random transitions. But those transitions are almost always driven by a simulated IID sequence. Recently it has ...
We state a construction theorem for specications starting from single-site conditional probabilities(singleton part). We considergeneralsingle-sitespaces and kernels that are absolutely continuous wit...
The construction of multivariate distributions is an active field of research in theoretical and applied statistics. In this paper some recent developments in this field are reviewed. Specifically, we...
The problem of the definition and the estimation of generative models based on deformable templates from raw data is of particular importance for modeling non-aligned data affected by various types of...

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