Results 141 to 150 of about 134,557 (305)

Fast Covariance Estimation for Multivariate Sparse Functional Data. [PDF]

Stat (Int Stat Inst), 2020
Li C, Xiao L, Luo S.
europepmc   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

Bias-free estimation of the covariance function and the power spectral density from data with missing samples including extended data gaps

EURASIP Journal on Advances in Signal Processing
Nonparametric estimation of the covariance function and the power spectral density of uniformly spaced data from stationary stochastic processes with missing samples is investigated.
Nils Damaschke, Volker Kühn, Holger Nobach   +2 more
doaj   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Finite Sample Analysis of Weighted Realized Covariance with Noisy Asynchronous Observations [PDF]

In this paper, we provide a framework to evaluate finite sample MSE of several realized covariance estimators when using nonsynchronous observations contaminated with microstructure noise. This framework enables us to examine different estimators.
Taro Kanatani
core  

The information matrix test with bootstrap-based covariance matrix estimation. [PDF]

We propose an information matrix test in which the covariance matrix of the vector of indicators is estimated using the parametric bootstrap. Monte Carlo results and heuristic arguments show that its small sample performance is comparable with that of ...
Hoorelbeke, Dirk, Dhaene, Geert
core   +2 more sources

Multicriteria Collaborative GNSS Integrity Monitoring: Optimization, Spoofing/Jamming Detection, and Performance Evaluation

IEEE Journal of Indoor and Seamless Positioning and Navigation
This study evaluates the performance of a collaborative, multicriteria integrity control method in the presence of Global Navigation Satellite System jamming and spoofing.
Victor Vince, Dominique Heurguier, Alexandre Vervisch Picois, Jose Manuel Rubio Hernan   +3 more
doaj   +1 more source

Robustness Analysis Of Covariances Matrix Estimates

, 2010
Publication in the conference proceedings of EUSIPCO, Aalborg, Denmark ...
Mahot, Mélanie, Forster, Philippe, Ovarlez, Jean-Philippe, Pascal, Frédéric   +3 more
openaire   +3 more sources

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

Advanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith, Ryan D. McKenzie, Alban Joseph, Robert L. Stamps, Rair Macêdo   +4 more
wiley   +1 more source

An Introduction to Shrinkage Estimation of the Covariance Matrix: A Pedagogic Illustration

Spreadsheets in Education, 2011
Shrinkage estimation of the covariance matrix of asset returns was introduced to the finance profession several years ago. Since then, the approach has also received considerable attention in various life science studies, as a remedial measure for ...
Clarence C. Y. Kwan
doaj