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Sparse Constrained Projection Approximation Subspace Tracking
In this paper we revisit the well-known constrained (orthogonal) projection approximation subspace tracking algorithm and derive, for the first time,...
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Theory and applications of stratification criteria based on space-filling pattern and projection pattern
Space-filling designs are crucial for computer experiments. The quality of a space-filling design can be appropriately reflected by its...
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Design efficiency for minimum projection uniform designs with q levels
Minimum projection uniform designs and high efficient designs are two kinds of excellent designs in design of experiment. In this paper, design...
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Factor dimension determination for panel interactive effects models: an orthogonal projection approach
We consider a computationally simple orthogonal projection method to implement the (Bai and Ng in Econometrica 70:191–221, 2002) information...
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Operations with Iso-structured Models with Commutative Orthogonal Block Structure: An Introductory Approach
An approach to models based on an algebraic context allows interesting and useful statistical results to be derived or at least better understood. In...
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On Accelerating Monte Carlo Integration Using Orthogonal Projections
Monte Carlo simulation is an indispensable tool in calculating high-dimensional integrals. Although Monte Carlo integration is notoriously known for...
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Projection uniformity of nearly balanced designs
The objective of this paper is to investigate the issue of the projection uniformity for nearly balanced designs under the wrap-around
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Refining Invariant Coordinate Selection via Local Projection Pursuit
Invariant coordinate selection (ICS), introduced by Tyler et al. (J. Roy. Stat. Soc. B 71(3):549–592, 2009), is a powerful tool to find potentially...
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On a projection least squares estimator for jump diffusion processes
This paper deals with a projection least squares estimator of the drift function of a jump diffusion process X computed from multiple independent...
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Construction of column-orthogonal strong orthogonal arrays
Strong orthogonal arrays were recently introduced as a new class of space-filling designs for computer experiments due to their better...
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A Catalog of 2-Level Orthogonal Minimally Aliased Designs with Small Runs
The traditional approach to designing a screening experiment is to start with a regular fractional factorial design (FFD) of resolution III or IV or...
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Construction of orthogonal general sliced Latin hypercube designs
Computer experiments have attracted increasing attention in recent decades. General sliced Latin hypercube design (LHD), which is a sliced LHD with...
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A new non-iterative deterministic algorithm for constructing asymptotically orthogonal maximin distance Latin hypercube designs
Latin hypercube designs (LHDs), maximin distance designs (MDDs) and orthogonal designs (ODs) are becoming popular and preferred choices in many areas...
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Local Linear Smoothing in Additive Models as Data Projection
We discuss local linear smooth backfitting for additive nonparametric models. This procedure is well known for achieving optimal convergence rates...
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Degree of isomorphism: a novel criterion for identifying and classifying orthogonal designs
The fundamental problem in the orthogonal design theory is the design isomorphism, which involves two classes of methods in the statistical...
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Bivariate densities in Bayes spaces: orthogonal decomposition and spline representation
A new orthogonal decomposition for bivariate probability densities embedded in Bayes Hilbert spaces is derived. It allows representing a density into...
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CenetBiplot: a new proposal of sparse and orthogonal biplots methods by means of elastic net CSVD
In this work, a new mathematical algorithm for sparse and orthogonal constrained biplots, called C enet Biplots, is proposed. Biplots provide a joint...
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Cyclic Generators for Saturated Orthogonal Arrays
We consider saturated orthogonal arrays (OAs) that can be constructed by repeated cycling of a generator and addition of a final zero row. In...
