Search Results - "Weighted expectation maximization algorithm"

Step-and-shoot Dynamic Whole-body PET Parametric Imaging with Weighted Expectation Maximization Algorithm

Authors: Qing Ye Yizhang Zhao Hancong Xu et al.

Source: 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). :1-3

Subject Terms: 03 medical and health sciences, 0302 clinical medicine

Algorithmic Trading : Hidden Markov Models on Foreign Exchange Data

Authors: Idvall, Patrik Jonsson, Conny

Subject Terms: Algorithmic Trading, Exponentially Weighted Expectation Maximization Algorithm, Foreign Exchange, Gaussian Mixture Models, Hidden Markov Models, Business and economics, Ekonomi

File Description: application/pdf

Availability: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10719

Estimation for zero-inflated beta-binomial regression model with missing response data.

Authors: Luo, Rong Paul, Sudhir

Source: Statistics in Medicine; 11/20/2018, Vol. 37 Issue 26, p3789-3813, 25p

Estimation for zero-inflated over-dispersed count data model with missing response.

Authors: Mian, Rajibul Paul, Sudhir

Source: Statistics in Medicine; 12/30/2016, Vol. 35 Issue 30, p5603-5624, 22p

Subject Terms: ALGORITHMS, POISSON distribution, PROBABILITY theory, STATISTICAL models

Energy Consumption Minimization for UAV-Assisted Network in Hotspot Area.

Authors: Zhang, Jinxi Maimaiti, Saidiwaerdi Gao, Weidong et al.

Source: Drones (2504-446X); Mar2025, Vol. 9 Issue 3, p178, 23p

Monetary Policy and the Evolution of Wealth Disparity: An Assessment Using US Survey of Consumer Finance Data.

Authors: Parker, Damien Nicholas Semmler, Willi

Source: Computational Economics; Dec2024, Vol. 64 Issue 6, p3509-3541, 33p

Subject Terms: INTEREST rates, FINANCIAL crises, WEALTH distribution, COVID-19 pandemic, MONETARY policy

Machine learning for predictive on-demand deployment of UAVs for wireless communications

Authors: Zhang, Q. (Qianqian) Mozaffari, M. (Mohammad) Saad, W. (Walid) et al.

Index Terms: info:eu-repo/semantics/article, info:eu-repo/semantics/acceptedVersion

URL: http://urn.fi/urn:nbn:fi-fe2019061019626

A Sampling-Based Bayesian Approach for Cooperative Multiagent Online Search With Resource Constraints.

Authors: Xiao, Hu Cui, Rongxin Xu, Demin

Source: IEEE Transactions on Cybernetics; Jun2018, Vol. 48 Issue 6, p1773-1785, 13p

Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey.

Authors: Kurunathan, Harrison Huang, Hailong Li, Kai et al.

Source: IEEE Communications Surveys & Tutorials; Q1 2024, Vol. 26 Issue 1, p496-533, 38p

XRCT image processing for sand fabric reconstruction.

Authors: Tan, Peng Wijesuriya, Hasitha Sithadara Sitar, Nicholas

Source: Granular Matter. Feb2024, Vol. 26 Issue 1, p1-18. 18p.

Machine Learning-Based Methods for Enhancement of UAV-NOMA and D2D Cooperative Networks.

Authors: Tsipi, Lefteris Karavolos, Michail Bithas, Petros S. et al.

Source: Sensors (14248220); Mar2023, Vol. 23 Issue 6, p3014, 30p

Subject Terms: BANDWIDTH allocation, DRONE aircraft, ARTIFICIAL neural networks, NEXT generation networks, MACHINE learning

Distribution‐free model selection for longitudinal zero‐inflated count data with missing responses and covariates.

Authors: Chen, Chun‐Shu Shen, Chung‐Wei

Source: Statistics in Medicine; 7/20/2022, Vol. 41 Issue 16, p3180-3198, 19p

Subject Terms: MISSING data (Statistics), GENERALIZED estimating equations, DATA distribution

Estimation for Zero-Inflated Beta-Binomial Regression Model with Missing Response and Covariate Measurement Error

Authors: Luo, Rong

Source: Electronic Theses and Dissertations

Subject Terms: Beta binomial, measurement error, Missing Value

File Description: application/pdf

Relation: https://scholar.uwindsor.ca/etd/7818; https://scholar.uwindsor.ca/context/etd/article/8964/viewcontent/uc.pdf

Availability: https://scholar.uwindsor.ca/etd/7818
https://scholar.uwindsor.ca/context/etd/article/8964/viewcontent/uc.pdf

Seamless connectivity with 5G enabled unmanned aerial vehicles base stations using machine programming approach.

Authors: Mandloi, Dilip Arya, Rajeev

Source: Expert Systems; Jun2022, Vol. 39 Issue 5, p1-15, 15p

Subject Terms: FUZZY algorithms, DRONE aircraft, 5G networks, NETWORK performance

Resource Management in 5G Networks Assisted by UAV Base Stations: Machine Learning for Overloaded Macrocell Prediction Based on Users' Temporal and Spatial Flow.

Authors: Alfaia, Rodrigo Dias Souto, Anderson Vinicius de Freitas Cardoso, Evelin Helena Silva et al.

Source: Drones (2504-446X); Jun2022, Vol. 6 Issue 6, p145, 30p

UAV Placement and Trajectory Design Optimization: A Survey.

Authors: Mazaherifar, Ahmad Mostafavi, Seyedakbar

Source: Wireless Personal Communications; Jun2022, Vol. 124 Issue 3, p2191-2210, 20p

Subject Terms: TRAJECTORY optimization, 5G networks, DRONE aircraft

Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification.

Authors: Beesley, Lauren J. Mukherjee, Bhramar

Source: Biometrics; Mar2022, Vol. 78 Issue 1, p214-226, 13p

Subject Terms: ELECTRONIC health records, INFERENTIAL statistics, STATISTICAL association, SELECTION bias (Statistics)

Exploiting gene‐environment independence in haplotype‐based inferences for population‐based case‐control studies with complex sampling.

Authors: Wang, Lingxiao Lin, Daoying Li, Yan

Source: Statistics in Medicine; 1/15/2020, Vol. 39 Issue 1, p57-69, 13p

Subject Terms: CASE-control method, RENAL cancer, GENOTYPE-environment interaction

A Sampling-Based Bayesian Approach for Cooperative Multiagent Online Search With Resource Constraints

Authors: Hu Xiao Rongxin Cui Demin Xu

Source: IEEE Transactions on Cybernetics. 48:1773-1785

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://pubmed.ncbi.nlm.nih.gov/28678726
https://ieeexplore.ieee.org/abstract/document/7959619/
https://dblp.uni-trier.de/db/journals/tcyb/tcyb48.html#XiaoCX18
https://www.ncbi.nlm.nih.gov/pubmed/28678726
https://ieeexplore.ieee.org/document/7959619/
https://doi.org/10.1109%2fTCYB.2017.2715228

HAPLOTYPE-BASED STATISTICAL INFERENCE FOR POPULATION-BASED CASE-CONTROL AND CROSS-SECTIONAL STUDIES WITH COMPLEX SAMPLE DESIGNS.

Authors: DAOYING LIN LINGXIAO WANG YAN LI

Source: Journal of Survey Statistics & Methodology. Jun2016, Vol. 4 Issue 2, p188-214. 27p.

Subject Terms: *STATISTICAL methods in haplotypes, *SINGLE nucleotide polymorphisms, *CLUSTER sampling, *STATISTICAL sampling, *COST