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A GENERAL THEORY FOR ORTHOGONAL ARRAY BASED LATIN HYPERCUBE DESIGNS
Functional decomposition Latin hypercube design orthog- onal array statistical property
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 ...
Construction of sliced space-ˉlling designs based on balanced sliced orthogonal arrays
Balanced computer experiment difference matrix Latin hypercube design
2016/1/20
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...
A Residual Based Multiple Testing Procedure for Variance Changepoints
Multiple testing Admissibility Multiple change points Variance change
2016/1/19
In this paper, we approach the variance changepoints detection problem from a multiple testing setting. After proving that the standard Step-Up and Step-Down procedures are inadmissible for the standa...
CATS regression–a model-based approach to studying trait-based community assembly
community composition community-level models fourth corner model generalised linear models maximum entropy Poisson regression
2015/8/21
CATS regression–a model-based approach to studying trait-based community assembly.
Linear Models Based on Noisy Data and the Frisch Scheme
linear models factor analysis identifi cation
2015/7/8
We address the problem of identifying linear relations among variables based on noisy measurements. This is a central question in the search for structure in large data sets. Often a key assumption is...
VISION-BASED SYSTEM FOR QUALITY CONTROL OF SOME FOOD PRODUCTS
Industry Inspection Pattern Recognition Vision
2015/6/1
Mass production of crop, produce, and food staff has resulted in great increase in the efficiency of food producing plants. This in
turn has led to considerable decline in food prices. However, the ...
Rotation invariants of two dimensional curves based on iterated integrals
Rotation invariants two dimensional curves based iterated integrals
2013/6/17
We introduce a novel class of rotation invariants of two dimensional curves based on iterated integrals. The invariants we present are in some sense complete and we describe an algorithm to calculate ...
Comparing composite likelihood methods based on pairs for spatial Gaussian random fieldsM
Covariance estimation Geostatistics Large datasets Tapering
2013/6/14
In the last years there has been a growing interest in proposing methods for estimating covariance functions for geostatistical data. Among these, maximum likelihood estimators have nice features when...
Methods to Calculate the Upper Bound of Gini Coefficient Based on Grouped Data and the Result for China
Gini coefficient Grouped data Upper bound China
2013/6/14
How to give an upper bound, especially the smallest upper bound of Gini coefficient based on grouped data in the absence of income brackets is still a problem not properly solved. This article provide...
Meta Path-Based Collective Classification in Heterogeneous Information Networks
Heterogeneous information networks Meta path Collective classi
2013/6/17
Collective classification has been intensively studied due to its impact in many important applications, such as web mining, bioinformatics and citation analysis. Collective classification approaches ...
A Penalized Multi-trait Mixed Model for Association Mapping in Pedigree-based GWAS
Multivariate linear mixed model Penalization approach Feature selection 1 arXiv:1305.4413v1 [stat.ME] 19 May 2013 GWAS
2013/6/14
In genome-wide association studies (GWAS), penalization is an important approach for identifying genetic markers associated with trait while mixed model is successful in accounting for a complicated d...
A nonparametric CUSUM control chart based on the Mann-Whitney statistic
Change-point Mann-Whitney statistic cumulative sum chart
2013/6/14
This article aims to consider a new univariate nonparametric cumulative sum (CUSUM) control chart for small shift of location based on both change-point model and Mann-Whitney statistic. Some comparis...
Likelihood-free Simulation-based Optimal Design
Simulation based optimal design approximate Bayesian computation Markov chain Monte Carlo
2013/6/14
Simulation-based optimal design techniques are a convenient tool for solving a particular class of optimal design problems. The goal is to find the optimal configuration of factor settings with respec...
Spatial Depth-Based Classification for Functional Data
Functional depths Functional outliers Spatial functional depth Supervised func-tional classification
2013/6/14
We enlarge the available number of functional depths by defining two new depth measures for curves. Both depths are based on a spatial approach: the functional spatial depth (FSD), that shows an inter...
Moment based estimation of supOU processes and a related stochastic volatility model
generalized method of moments Ornstein-Uhlenbeck type process L
2013/6/14
After a quick review of superpositions of OU (supOU) processes, integrated supOU processes and the supOU SV model we estimate these processes by using the generalized method of moments. We show that t...