Results 121 to 130 of about 2,726,393 (218)

Convergence in Distribution of the P–P Process in L1[0,1]$$ {\boldsymbol{L}}^{\mathbf{1}}\left[\mathbf{0},\mathbf{1}\right] $$

Stat, Volume 15, Issue 4, December 2026.
ABSTRACT We show that the percentile–percentile (P–P) process constructed from an independent and identically distributed sample of pairs converges in distribution in L1[0,1]$$ {L}^1\left[0,1\right] $$ if and only if the associated P–P curve is absolutely continuous.
Brendan K. Beare, Tetsuya Kaji
wiley   +1 more source

Leveraging environmental data and dominance effects in genomic prediction may accelerate genetic gain in hybrid sunflower

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Genomic prediction improves the efficiency of plant breeding by allowing the performance of a new, untested genotype to be predicted without conducting field trials. There is a dearth of knowledge on best practices for performing genomic prediction in sunflower (Helianthus annuus L.), a hybrid crop.
James P. McNellie, Alison Pokrzywinski, Brian C. Smart, Brent S. Hulke   +3 more
wiley   +1 more source

Classes of Meromorphic Functions Defined by the Hadamard Product

International Journal of Mathematics and Mathematical Sciences, 2010
The object of the present paper is to introduce new classes of meromorphic functions with varying argument of coefficients defined by means of the Hadamard product (or convolution).
J. Dziok
doaj   +1 more source

Improving grain yield prediction in Southern US oat germplasm using genomics information and environmental covariates

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Genetic gains of oat (Avena sativa L.) grain yield have been historically low compared to other major cereal crops. The use of machine learning models to capture complex interactions and leveraging data types other than genomic information in prediction models has great potential for improving complex traits in oat breeding programs.
Samuel A. Adewale, Md Ali Babar, Diego Jarquin, Naeem Khan, Stephen Harrison, Noah DeWitt, Rick Boyles, Shuyu Liu, Ellen Melson, Daniel Hathcoat, Jason D. Fiedler, Raja Sekhar Nandety   +11 more
wiley   +1 more source

Quantum Circuits for Amplitude Reweighting

IEEE Access
We propose an amplitude reweighting framework that amplifies candidate states in proportion to the Hamming weight of their feature encodings, so that candidates satisfying more constraints receive proportionally larger amplitudes.
Jihyeok Kim, Deok-Kyu Jang, Whan-Hyuk Choi   +2 more
doaj   +1 more source

Reaction norm modeling of high‐dimensional genomic and environmental data improves prediction accuracy in winter wheat

The Plant Genome, Volume 19, Issue 4, December 2026.
Abstract Genomic prediction models that account for genotype‐by‐environment (G × E) have the potential to accelerate the rate of genetic gain for yield and agronomic performance, yet relatively few studies have applied G × E prediction in public soft red winter wheat (Triticum aestivum) breeding programs.
Shailesh Raj Acharya, Julian Garcia‐Abadillo, Jeanette Lyerly, Gina Brown‐Guedira, Diego Jarquin, Nonoy Bandillo   +5 more
wiley   +1 more source

A Note on Local Polynomial Regression for Time Series in Banach Spaces

Journal of Time Series Analysis, Volume 47, Issue 6, Page 1124-1138, November 2026.
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley   +1 more source

A Unified Block‐Modal Framework for Inverse Source Problems in Heat and Mass Transfer

International Journal for Numerical Methods in Engineering, Volume 127, Issue 19, 15 October 2026.
ABSTRACT This work presents a unified block–modal framework for inverse source identification in linear diffusive problems arising in heat and mass transfer. Starting from a general parabolic model with mixed boundary operators, the Classical Integral Transform Technique is employed to project the dynamics onto an orthonormal eigenbasis, yielding a ...
André J. P. de Oliveira, Diego C. Knupp, Lucas L. S. Costa, Luiz A. S. Abreu, Mousa J. Huntul, Antônio J. Silva Neto   +5 more
wiley   +1 more source

PyOrbb—Automated Analyses of Orbital‐Interaction Mechanisms

Journal of Computational Chemistry, Volume 47, Issue 26, October 5, 2026.
PyOrbb is an open‐source program that automates fragment‐based orbital interaction analysis from ADF calculations. It identifies the chemically most significant attractive and repulsive interactions and presents them as publication‐ready MO diagrams.
Yuman Hordijk, Steven E. Beutick, Xiaobo Sun, Laurens Groot, Tori Gijzen, Jordi Poater, Trevor A. Hamlin, F. Matthias Bickelhaupt, Célia Fonseca Guerra   +8 more
wiley   +1 more source

Statistical properties of the Hadamard product of random vectors

, 2001
The variance of the Hadamard product of two linear combinations of a random vector is presented in terms of the mean and the variance of the random vector when a normal distribution is assumed.
Neudecker, H, Neudecker, Heinz, Shuangzhe Liu, Liu, Shuangzhe, Heinz Neudecker   +4 more
core   +1 more source