Results 81 to 90 of about 88,814 (288)
Optimal sampling and estimation strategies under the linear model [PDF]
, 2016 In some cases model-based and model-assisted inferences can lead to very different estimators. These two paradigms are not so different if we search for an optimal strategy rather than just an optimal estimator, a strategy being a pair composed of a ...
Nedyalkova, Desislava, Tillé, Yves
core
Advanced Science, EarlyView.Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang +7 more
wiley +1 more source
Prediction of a Small Area Mean for an Infinite Population when the Variance Components Are Random [PDF]
In this paper, we propose a new model with random variance components for estimating small area characteristics. Under the proposed model, we derive the empirical best linear unbiased estimator, an approximation to terms of order and an estimator whose ...
Stefan, Marius
core
An Evaluation of Design-based Properties of Different Composite Estimators
, 2020 For the last several decades, the US Census Bureau has been using the AK composite estimation method to produce statistics on employment from the Current Population Survey (CPS) data.
Bonnéry, Daniel +2 more
core +1 more source
Advanced Science, EarlyView.We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
A Homogeneous Class of Linear Estimators and Stronger Aitken Estimator [PDF]
We define a new class of linear estimators which includes as a subset all linear unbiased estimators. Subsequently, we establish Aitken estimator, the best linear unbiased estimator, further as the best in this larger class of linear estimators.
Eric Iksoon Im, Marcellus Snow
core
PENERAPAN METODE WEIGTHED LEAST SQUARE UNTUK MENGATASI HETEROSKEDASTISITAS PADA ANALISIS REGRESI LINEAR [PDF]
, 2016 Analisis regresi merupakan analisis statistik yang mempalajari bagaimana memodelkan regresi linear. Jika model regresi linear memenuhi uji asumsi klasik dengan metode OLS maka mempunyai sifat BLUE (Beast Linear Unbiased Estimator).
Hanifah, Nurul
core
Advanced Science, EarlyView.We uncover a large variety of putative inhibitory ligand‐gated ion channels (LGICs) in the phylum Cnidaria, the sister group to all bilaterian animals. Phylogenetic analysis suggests a complex evolutionary history of inhibitory LGICs with diverse neurotransmitter ligands.
Abhilasha Ojha +13 more
wiley +1 more source
A Discrete Adapted Hierarchical Basis Solver For Radial Basis Function Interpolation
, 2012 In this paper we develop a discrete Hierarchical Basis (HB) to efficiently solve the Radial Basis Function (RBF) interpolation problem with variable polynomial order.
Castrillon-Candas, Julio Enrique +2 more
core +1 more source
A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application
Advanced Science, EarlyView.This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu +5 more
wiley +1 more source