Results 61 to 70 of about 9,759 (265)
On the estimation for product of covariance matrices and its trace
四川大学学报. 自然科学版, 2020 In many statistical inference problems involving two populations respectively with covariance matrices and its trace need to be estimated. In this paper, some existing estimators are shown to be equal besides different computational complexities after ...
Shen Jie-Qiong, Zhou Jie, Chen Chen
doaj
Inertia Estimation Through Covariance Matrix
IEEE Transactions on Power SystemsThis work presents a technique to estimate on-line the inertia of a power system based on ambient measurements. The proposed technique utilizes the covariance matrix of these measurements and solves an optimization problem that fits such measurements to the synchronous machine classical model.
Federico Bizzarri +5 more
openaire +2 more sources
Advanced Materials, EarlyView.ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source
Sensors, 2019 Hybrid massive MIMO structures with lower hardware complexity and power consumption have been considered as potential candidates for millimeter wave (mmWave) communications.
Rui Hu +4 more
doaj +1 more source
Advanced Materials, EarlyView.This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang +10 more
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
A Fast Algorithm for the Computation of HAC Covariance Matrix Estimators
Econometrics, 2017 This paper considers the algorithmic implementation of the heteroskedasticity and autocorrelation consistent (HAC) estimation problem for covariance matrices of parameter estimators.
Jochen Heberle, Cristina Sattarhoff
doaj +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Noise-Adjusted Shrinkage Covariance Estimation in High Dimensions
AxiomsHigh-dimensional covariance estimation remains a fundamental challenge when the number of variables (p) substantially exceeds the sample size (n).
Esra Pamukçu
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Advanced Science, EarlyView.This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source