Suchergebnisse - "Expectation-maximization algorithm"

Composite likelihood expectation–maximization algorithm for the first-order multivariate integer-valued autoregressive model with multivariate mixture distributions

Autoren: Weiyang Yu Haitao Zheng

Quelle: Mathematics and Computers in Simulation. 237:167-187

A latent outcome variable approach for Mendelian randomization using the stochastic expectation maximization algorithm

Autoren: Amente, Lamessa Dube Mills, Natalie T. Le, Thuc Duy et al.

Quelle: Hum Genet

Schlagwörter: Metabolic Syndrome, Stochastic Processes, Phenotype, Models, Genetic, Humans, Genetic Pleiotropy, Computer Simulation, Mendelian Randomization Analysis, Algorithms, Original Investigation, Body Mass Index

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40214754

Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm

Autoren: Gelio Alves Aleksey Y Ogurtsov Yi-Kuo Yu

Quelle: bioRxiv

Schlagwörter: Article

A Mixed Gaussian Distribution Approach using the Expectation-Maximization Algorithm for Topography Predictive Modelling

Autoren: Khairulnizam Othman Mohd Norzali Mohd Muhammad Qusyairi Abdul Rahman et al.

Quelle: WSEAS TRANSACTIONS ON COMPUTERS. 24:29-41

On the Convergence of Maximum Likelihood Expectation–maximization Algorithm for Iterative Tomographic Reconstruction and the Role of Spatial Frequency, Location, Pixel Intensity, Contrast, and Noise

Autoren: Mohsen Qutbi

Quelle: Journal of Medical Physics. 50:348-358

Adaptive Radar Detection in Heterogeneous Clutter Plus Thermal Noise via the Expectation-Maximization Algorithm

Autoren: Angelo Coluccia Alessio Fascista Danilo Orlando et al.

Quelle: IEEE Transactions on Aerospace and Electronic Systems. 60:212-225

Schlagwörter: Expectation-maximization algorithm, generalized likelihood ratio test, heterogeneous environments, non-Gaussian models, radar detection, Radar detection, heterogeneous environments, expectation-maximization algorithm, generalized likelihood ratio test, non-Gaussian models

Dateibeschreibung: application/pdf

Estimating the size of undeclared work from partially misclassified survey data via the Expectation–Maximization algorithm

Autoren: Maria Felice Arezzo Giuseppina Guagnano Domenico Vitale

Quelle: Journal of the Royal Statistical Society Series C: Applied Statistics. 73:816-834

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, expectation–maximization algorithm, misclassification, population prevalence, undeclared work, 0101 mathematics, 01 natural sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/11573/1705212
https://doi.org/10.1093/jrsssc/qlae013

MODELING THE MANY EARTHQUAKES IN SUMATRA USING POISSON HIDDEN MARKOV MODELS AND EXPECTATION MAXIMIZATION ALGORITHM

Autoren: Muhammad Arib Alwansyah Ramya Rachmawati

Quelle: Barekeng, Vol 18, Iss 1, Pp 0163-0170 (2024)

Schlagwörter: akaike information criterion, overdispersion, poisson hidden markov models, poisson distribution, Probabilities. Mathematical statistics, QA273-280, expectation maximization algorithm

Zugangs-URL: https://doaj.org/article/eb0e08cc079c43d78f6362332866c6e2

Elliptical Mixture Models Improve the Accuracy of Gaussian Mixture Models with Expectation-maximization Algorithm

Autoren: Xiaoying Zeng Eugene Pinsky

Quelle: International Journal on Cybernetics & Informatics. 14:87-106

An expectation-maximization algorithm for logistic regression based on individual-level predictors and aggregate-level response

Autoren: Zheng Xu

Quelle: Statistics in Transition new series. 26:9-28

Revenue Management and Dynamically Optimizing Digital Goods Pricing using Expectation-Maximization Algorithm

Autoren: D. Roja Ramani A. Sivakumar Chandresh M et al.

Quelle: 2025 International Conference on Innovative Trends in Information Technology (ICITIIT). :1-6

Research on Diffusion-Relaxation Quantitative Analysis Method Based on Expectation-Maximization Algorithm

Quelle: Modeling and Simulation. 14:631-641

Using Regularization to Identify Measurement Bias across Multiple Background Characteristics: A Penalized Expectation-Maximization Algorithm

Autoren: William C. M. Belzak Daniel J. Bauer

Quelle: Journal of Educational and Behavioral Statistics. 2024 49(6):976-1012.

Peer Reviewed: Y

Page Count: 37

Sponsoring Agency: US Department of Defense (DOD)

Descriptors: Test Bias, Algorithms, Factor Analysis, Error of Measurement, Reliability, Item Response Theory

Compensation of phase noise in massive-MIMO uplink communications based on expectation-maximization algorithm

Autoren: Tarable, Alberto Escribano, Francisco J.

Quelle: Journal of Communications and Networks. 26:603-616

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Signal Processing, EM Algorithm, iterative decoding, massive MIMO, phase noise

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2207.08213

Noncontact Detection of Sleep Apnea Using Radar and Expectation–Maximization Algorithm

Autoren: Takato Koda Shigeaki Okumura Hirofumi Taki et al.

Quelle: IEEE Sensors Journal. 24:32748-32756

Schlagwörter: Signal Processing (eess.SP), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2311.01084

Bayesian Full-Field Response Reconstruction via Expectation-Maximization Algorithm from Sparse Sensor Data

Autoren: Xiang-Bin Deng Li Wang Ming-Hao Zhou et al.

Quelle: International Journal of Structural Stability and Dynamics.

Fast convergence of the Expectation-Maximization algorithm under a logarithmic Sobolev inequality

Autoren: Caprio, Rocco Johansen, Adam M

Quelle: Biometrika.

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Statistics Theory, Machine Learning (stat.ML), Statistics Theory (math.ST), Mathematics - Optimization and Control, Statistics - Computation, Computation (stat.CO), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2407.17949

Improved identification of abdominal aortic aneurysm using the Kernelized Expectation Maximization algorithm

Autoren: Deidda, Daniel Akerele, Mercy I. Aykroyd, Robert G. et al.

Quelle: Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2021 Jun . 379(2200), 1-12.

Zugangs-URL: https://www.jstor.org/stable/27100956

Simultaneous Data Reconciliation and Gross Error Detection in Olefin Plants by the Expectation Maximization Algorithm Based on Gaussian Mixture Distributions

Autoren: Hong Yang Yuan Yuan Xiaodong Xu

Quelle: 2024 China Automation Congress (CAC). :2084-2089

A Stochastic Expectation Maximization Algorithm for the Estimation of Wastewater Treatment Plant Ammonium Concentration

Autoren: Bertret, Victor Le Goff Latimier, Roman Monbet, Valérie

Weitere Verfasser: Bertret, Victor Le Goff Latimier, Roman Monbet, Valérie

Quelle: 2024 European Control Conference (ECC). :3527-3532

Schlagwörter: 13. Climate action, 11. Sustainability, [MATH] Mathematics [math], 7. Clean energy, 6. Clean water, 12. Responsible consumption

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-04632445v1/document
https://doi.org/10.23919/ecc64448.2024.10591038
https://hal.science/hal-04632445v1