Results 101 to 110 of about 16,027 (213)
Variable selection via thresholding
Abstract Variable selection comprises an important step in many modern statistical inference procedures. In the regression setting, when estimators cannot shrink irrelevant signals to zero, covariates without relationships to the response often manifest small but nonzero regression coefficients.
Ka Long Keith Ho, Hien Duy Nguyen
wiley +1 more source
Exploring Imprecise Probabilities in Quantum Algorithms with Possibility Theory
ABSTRACT Quantum computing utilizes the underlying principles of quantum mechanics to perform computations with unmatched performance capabilities. Rather than using classical bits, it operates on qubits, which can exist in superposition and entangled states. This enables the solution of problems that are considered intractable for classical computers.
Jan Schneider +2 more
wiley +1 more source
ABSTRACT The foldover technique for screening designs is well‐known to guarantee zero aliasing of the main effect estimators with respect to two‐factor interactions and quadratic effects. It is a key feature of many popular response surface designs, including central composite designs, definitive screening designs, and most orthogonal, minimally ...
Jonathan Stallrich +3 more
wiley +1 more source
Hybrid kernels integrating genomic and multispectral data improve wheat genomic prediction accuracy
Abstract Genomic selection (GS) is transforming plant breeding by enabling more accurate and efficient identification of superior genotypes. However, its practical implementation remains challenging, as achieving high prediction accuracy is critical for its success. Several factors—including sample size, the degree of relatedness among individuals, and
Osval A. Montesinos‐López +8 more
wiley +1 more source
We consider the massive Klein-Gordon equation on a class of asymptotically static spacetimes. We prove the existence and Hadamard property of the in and out states constructed by scattering theory methods.
Gérard, Christian, Wrochna, Michal
core +1 more source
Cointegrating Polynomial Regressions With Power Law Trends
ABSTRACT The common practice in cointegrating polynomial regressions (CPRs) often confines nonlinearities in the variable of interest to stochastic trends, thereby overlooking the possibility that they may be caused by deterministic components. As an extension, we propose univariate and multivariate CPRs that incorporate power law deterministic trends.
Yicong Lin, Hanno Reuvers
wiley +1 more source
On the Method of Harmonic Balance for Lumped‐Element Transformer Models
The steady‐state solution of a lumped‐element transformer model with a dry friction‐like hysteresis model depicting the magnetic core is of interest. The harmonic balance method efficiently solves this stiff system. We derive the harmonic balance algorithm, enhance it with performance and convergence improvements, and demonstrate its efficiency by ...
Alexander Sauseng +5 more
wiley +1 more source
Sparsity of higher-order landscape interactions enables learning and prediction for microbiomes. [PDF]
Arya S, George AB, O'Dwyer JP.
europepmc +1 more source
On the structural and practical identifiability of multi‐echo BBB‐ASL tracer kinetic models
Abstract Purpose Tracer kinetic models are used in arterial spin labeling (ASL); however, deciding which model parameters to fix or fit is not always trivial. The identifiability of the resultant system of equations is useful to consider, since it will likely impact parameter uncertainty.
Tabitha J. Manson +6 more
wiley +1 more source
Abstract Purpose Lower field strength scanners with large bore size or complex geometries, and scanners with stronger gradient systems experience increased gradient nonlinearity and concomitant fields, each of which causes distortions in EPI. Current correction approaches based on image‐domain interpolation introduce undesirable spatial blurring.
Nam G. Lee +2 more
wiley +1 more source

