Round Robin Active Sequential Change Detection for Dependent Multi-Channel Data

Автори: Chaudhuri, A., Fellouris, G., Tajer, A.

Джерело: IEEE Transactions on Information Theory IEEE Trans. Inform. Theory Information Theory, IEEE Transactions on. 70(12):9327-9351 Dec, 2024

Spatial deep convolutional neural networks

Автори: Wang, Qi, Parker, Paul A, Lund, Robert

Предметні терміни: Mathematical Sciences, Statistics, Bioengineering, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), 1.4 Methodologies and measurements, Basis functions, Deep learning, Dependent data, Dropout layers, Keras, Artificial Intelligence and Image Processing

Опис файлу: application/pdf

Доступ через URL: https://escholarship.org/uc/item/8hz2k0xv
https://escholarship.org/content/qt8hz2k0xv/qt8hz2k0xv.pdf

Optimal Bayesian Regression With Vector Autoregressive Data Dependency

Автори: Reihanian, S., Dougherty, E.R., Zollanvari, A.

Джерело: IEEE Transactions on Signal Processing IEEE Trans. Signal Process. Signal Processing, IEEE Transactions on. 72:1854-1864 2024

Analysis and Prevention of Coupling-Dependent Data Flipping in Wireless Power Transfer Systems

Автори: Yao, Y., Sarkar, S., Ki, W., Tsui, C.

Джерело: IEEE Transactions on Power Electronics IEEE Trans. Power Electron. Power Electronics, IEEE Transactions on. 38(8):10460-10469 Aug, 2023

Treatment effect estimation with observational network data using machine learning

Автори: Emmenegger Corinne, Spohn Meta-Lina, Elmer Timon, Bühlmann Peter

Джерело: Journal of Causal Inference, Vol 13, Iss 1, Pp 591-3 (2025)

Предметні терміни: dependent data, interference, observed confounding, semiparametric inference, spillover effects, 62d20, 62g20, Mathematics, QA1-939, Probabilities. Mathematical statistics, QA273-280

Опис файлу: electronic resource

Relation: https://doaj.org/toc/2193-3685

Доступ через URL: https://doaj.org/article/25ec5c8be1584caaa3b836f9775fe7e3

Unsupervised Ensemble Classification With Sequential and Networked Data

Автори: Traganitis, P.A., Giannakis, G.B.

Джерело: IEEE Transactions on Knowledge and Data Engineering IEEE Trans. Knowl. Data Eng. Knowledge and Data Engineering, IEEE Transactions on. 34(10):5009-5022 Oct, 2022

Nonparametric Testing for Hammerstein Systems

Автори: Pawlak, M., Lv, J.

Джерело: IEEE Transactions on Automatic Control IEEE Trans. Automat. Contr. Automatic Control, IEEE Transactions on. 67(9):4568-4584 Sep, 2022

A spatial-temporal neural network based on ResNet-Transformer for predicting railroad broken rails

Автори: Wang, Xin, Dai, Junyan, Liu, Xiang ^⁎

Джерело: In Advanced Engineering Informatics May 2025 65 Part A

An evidence-based likelihood approach for the reliability of a complex system with overlapped failure data

Автори: Yang, Lechang ^{a, b, c, d}

Джерело: In Computers & Industrial Engineering March 2025 201

Analysis and Mitigation of Coupling-Dependent Data Flipping in Wireless Power and Data Transfer System

Автори: Qiu, H., Jiang, Y., Shi, Y., Sakurai, T., Takamiya, M.

Джерело: IEEE Transactions on Circuits and Systems I: Regular Papers IEEE Trans. Circuits Syst. I Circuits and Systems I: Regular Papers, IEEE Transactions on. 68(12):5182-5193 Dec, 2021

On Fully-Distributed Composite Tests With General Parametric Data Distributions in Sensor Networks

Автори: Maya, J.A., Rey Vega, L.

Джерело: IEEE Transactions on Signal and Information Processing over Networks IEEE Trans. on Signal and Inf. Process. over Networks Signal and Information Processing over Networks, IEEE Transactions on. 7:509-521 2021

Asymptotic properties of Kaplan–Meier estimator and hazard estimator for censored survival time with LENQD data

Автори: Yongming Li, Weicai Pang, Ziqing Feng, Naiyi Li

Джерело: Statistical Theory and Related Fields, Vol 8, Iss 2, Pp 107-116 (2024)

Предметні терміни: Linearly extended negative quadrant-dependent data, Kaplan–Meier estimator, strong consistency, strong representation, Probabilities. Mathematical statistics, QA273-280

Опис файлу: electronic resource

Relation: https://doaj.org/toc/2475-4269; https://doaj.org/toc/2475-4277

Доступ через URL: https://doaj.org/article/f2d5132ef7ec44f48a9975de74d4bcbd

Nonlinear modal regression for dependent data with application for predicting COVID-19.

Автори: Ullah, Aman, Wang, Tao, Yao, Weixin

Джерело: Journal of the Royal Statistical Society. Series A, (Statistics in Society). 185(3)

Предметні терміни: COVID‐19, MEM algorithm, dependent data, modal regression, nonlinear, prediction, COVID-19, Statistics, Econometrics, Demography, Statistics & Probability

Опис файлу: application/pdf

Доступ через URL: https://escholarship.org/uc/item/6bb6g06x

Causal inference when counterfactuals depend on the proportion of all subjects exposed

Автори: Miles, Caleb H, Petersen, Maya, van der Laan, Mark J

Джерело: Biometrics. 75(3)

Предметні терміни: Mathematical Sciences, Statistics, Causality, Computer Simulation, HIV Infections, Humans, Kenya, Likelihood Functions, Machine Learning, Treatment Outcome, Triage, causal inference, dependent data, HIV/AIDS, interference, semiparametric estimation, SUTVA, Dependent data, Other Mathematical Sciences, Statistics & Probability

Опис файлу: application/pdf

Доступ через URL: https://escholarship.org/uc/item/6781c95v

Nash Equilibrium-Based Semantic Cache in Mobile Sensor Grid Database Systems

Автори: Fan, Q., Zeitouni, K., Xiong, N., Wu, Q., Camtepe, S., Tian, Y.

Джерело: IEEE Transactions on Systems, Man, and Cybernetics: Systems IEEE Trans. Syst. Man Cybern, Syst. Systems, Man, and Cybernetics: Systems, IEEE Transactions on. 47(9):2550-2561 Sep, 2017

Learning in a Changing World:\\Covariate Shift, Subset Selection and Optimal PAC Bounds

Автори: Shetty, Abhishek

Предметні терміни: Computer science, Dependent Data, Game Theory, Machine Learning, Online Learning, Smoothed Analysis

Опис файлу: application/pdf

Доступ через URL: https://escholarship.org/uc/item/2144w730
https://escholarship.org/content/qt2144w730/qt2144w730.pdf

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