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A GENERAL THEORY FOR ORTHOGONAL ARRAY BASED LATIN HYPERCUBE DESIGNS
Functional decomposition Latin hypercube design orthog- onal array statistical property
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2016/1/26
Orthogonal array based Latin hypercube designs (LHDs) are popularly adopted for computer experiments. Because of their stratification on multivariate margins in addition to univariate uniformity, the ...
Antenna Array Pattern Synthesis via Convex Optimization
Antenna Array Pattern Synthesis Convex Optimization
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2015/7/13
We show that a variety of antenna array pattern synthesis problems can be expressed as convex optimization problems, which can be (numerically) solved with great efficiency by recently developed inter...
Discrete gap solitons in a diffraction-managed waveguide array
Model coupling nonlinear discrete diffraction optical waveguide array,
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2014/12/29
A model including two nonlinear chains with linear and nonlinear couplings between them, and opposite signs of the discrete diffraction inside the chains, is introduced. In the case of the cubic [ χ(3...
Discrete Breathers in a Forced-Damped Array of Coupled Pendula: Modeling, Computation, and Experiment
Machinery the localization model enhance the liquidity local mode damping coupling
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2014/12/24
In this work, we present a mechanical example of an experimental realization of a stability reversal between on-site and intersite centered localized modes. A corresponding realization of a vanishing ...
Likelihood Estimation with Incomplete Array Variate Observations
Likelihood Estimation Incomplete Array Variate Observations
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2012/11/22
Missing data estimation is an important challenge with high-dimensional data arranged in the form of an array.In this paper we propose a probability model for partially observed multi-way array data. ...
Hierarchical array priors for ANOVA decompositions
array-valued data Bayesian estimation cross-classi ed data factorial design MANOVA penalized regression tensor Tucker product sparse data.
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2012/9/17
ANOVA decompositions are a standard method for describing and estimating heterogeneity among the means of a response variable across levels of multiple categorical factors. In such a decomposition, th...
On dimension folding of matrix- or array-valued statistical objects
Directional regression electroencephalography Kronecker en-velope sliced inverse regression sliced average variance estimate
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2010/3/11
We consider dimension reduction for regression or classification
in which the predictors are matrix- or array-valued. This type of pre-
dictor arises when measurements are obtained for each combinat...
A generalized Law of the Iterated Logarithm for the largest observation of a triangular array
Almost sure convergence weak law of large numbers law of the iterated logarithm
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2009/9/21
Consider independent and identically distributed random
variables (X, XRj, I < j < k, k > 1) from a particular distribution
with EX = oo. We show that there exists an unusual generalized
Law of the...