Search Results - alternating expectation conditional maximization algorithm

A bootstrap‐augmented alternating expectation‐conditional maximization algorithm for mixtures of factor analyzers

Authors: Phillip Shreeves Jeffrey L. Andrews

Source: Stat. 8

Subject Terms: 0101 mathematics, 01 natural sciences

Access URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/sta4.243
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002275237920301

Fast Matrix-Free Methods for Model-Based Personalized Synthetic MR Imaging

Authors: Subrata Pal Somak Dutta Ranjan Maitra et al.

Contributors: Subrata Pal Somak Dutta Ranjan Maitra et al.

Source: Journal of Computational and Graphical Statistics. 33:1109-1117

Subject Terms: I.4.0, FOS: Computer and information sciences, J.3, I.4.6, Bloch transform, G.3, Alternating Expectation Conditional Maximization algorithm, deep image prior, Statistics - Applications, Statistics - Computation, 01 natural sciences, 62P10 (Primary), 62P30, 62E20, 62H10, 62H35, I.2.1, 03 medical and health sciences, 0302 clinical medicine, multilayered Gaussian Markov Random Field, Applications (stat.AP), Lanczos algorithm, 0101 mathematics, profile likelihood, variance estimation, Computation (stat.CO), DegreeDisciplines::Physical Sciences and Mathematics::Statistics and Probability::Applied Statistics

File Description: application/pdf

Access URL: http://arxiv.org/abs/2103.01532

Estimating basis functions in massive fields under the spatial mixed effects model

Authors: Karl Pazdernik Ranjan Maitra Statistics

Contributors: Karl Pazdernik Ranjan Maitra Statistics

Source: Statistical Analysis and Data Mining: The ASA Data Science Journal. 14:430-448

Subject Terms: bandwidth, FOS: Computer and information sciences, range parameter, 05 social sciences, Alternating Expectation Conditional Maximization algorithm, maximum likelihood estimation, Machine Learning (stat.ML), basis functions, alternating expectation conditional maximization algorithm, Statistics - Applications, 01 natural sciences, Statistical Methodology, Methodology (stat.ME), DegreeDisciplines::Physical Sciences and Mathematics::Statistics and Probability::Statistical Methodology, Statistics - Machine Learning, 13. Climate action, fixed rank kriging, 62-00, 0502 economics and business, kriging, Applications (stat.AP), 0101 mathematics, Statistics - Methodology

File Description: application/pdf

Access URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sam.11537
http://arxiv.org/abs/2003.05990
http://ui.adsabs.harvard.edu/abs/2020arXiv200305990P/abstract
https://arxiv.org/abs/2003.05990
http://arxiv.org/pdf/2003.05990.pdf

A robust factor analysis model based on the canonical fundamental skew-t distribution.

Authors: Lin, Tsung-I Chen, I-An Wang, Wan-Lun

Source: Statistical Papers. Apr2023, Vol. 64 Issue 2, p367-393. 27p.

Subject Terms: FACTOR analysis, CONDITIONAL expectations, EXPECTATION-maximization algorithms, COVARIANCE matrices

Timing and Carrier Synchronization with Channel Estimation in Multi-Relay Cooperative Networks

Authors: Nasir, Ali Arshad Mehrpouyan, Hani Blostein, Steven D. et al.

Source: IEEE Transactions on Signal Processing. 60(2):793-811

Subject Terms: Cooperative communications, space-alternating generalized expectation-maximization (SAGE), Cramér-Rao Lower bounds (CRLB)., timing and carrier synchronization, expectation conditional maximization (ECM)

File Description: electronic

Access URL: https://research.chalmers.se/publication/147455
http://publications.lib.chalmers.se/records/fulltext/local_147455.pdf

Estimating basis functions in massive fields under the spatial mixed effects model

Authors: Pazdernik, Karl Maitra, Ranjan Statistics

Contributors: Pazdernik, Karl Maitra, Ranjan Statistics

Source: https://doi.org/10.1002/sam.11537.

Subject Terms: DegreeDisciplines::Physical Sciences and Mathematics::Statistics and Probability::Statistical Methodology, alternating expectation conditional maximization algorithm, bandwidth, basis functions, fixed rank kriging, maximum likelihood estimation, range parameter

File Description: application/pdf

Relation: Estimating Basis Functions in Massive Fields under the Spatial Mixed Effects Model; https://dr.lib.iastate.edu/handle/20.500.12876/jrl8Q3Or

Availability: https://dr.lib.iastate.edu/handle/20.500.12876/jrl8Q3Or
https://hdl.handle.net/20.500.12876/jrl8Q3Or

A bootstrap‐augmented alternating expectation‐conditional maximization algorithm for mixtures of factor analyzers.

Authors: Shreeves, Phillip Andrews, Jeffrey L.

Source: Stat; 2019, Vol. 8 Issue 1, p1-10, 10p

Fast Matrix-Free Methods for Model-Based Personalized Synthetic MR Imaging

Authors: Pal, Subrata Dutta, Somak Maitra, Ranjan et al.

Contributors: Pal, Subrata Dutta, Somak Maitra, Ranjan et al.

Source: https://doi.org/10.1080/10618600.2023.2284208.

Subject Terms: DegreeDisciplines::Physical Sciences and Mathematics::Statistics and Probability::Applied Statistics, Alternating Expectation Conditional Maximization algorithm, Bloch transform, deep image prior, Lanczos algorithm, multilayered Gaussian Markov Random Field, profile likelihood, variance estimation

File Description: application/pdf

Relation: https://dr.lib.iastate.edu/handle/20.500.12876/JvNVPV9v

Availability: https://dr.lib.iastate.edu/handle/20.500.12876/JvNVPV9v
https://hdl.handle.net/20.500.12876/JvNVPV9v

The EM Algorithm--An Old Folk-Song Sung to a Fast New Tune

Authors: Meng, Xiao-Li van Dyk, David

Source: Journal of the Royal Statistical Society. Series B (Methodological), 1997 Jan 01. 59(3), 511-567.

Access URL: https://www.jstor.org/stable/2346009

Logistic Normal Multinomial Factor Analyzers for Clustering Microbiome Data.

Authors: Tu, Wangshu Subedi, Sanjeena

Source: Journal of Classification; Nov2023, Vol. 40 Issue 3, p638-667, 30p

Subject Terms: MICROBIOTA, CONDITIONAL expectations, PARAMETER estimation, FACTOR structure, CLUSTER analysis (Statistics)

Estimating basis functions in massive fields under the spatial random effects model

Authors: Pazdernik, Karl T. Maitra, Ranjan

Source: Statistics Publications

Subject Terms: kriging, fixed rank kriging, bandwidth, range parameter, basis functions, maximum likelihood estimation, Alternating Expectation Conditional Maximization algorithm, Statistical Methodology, stat, demo

Relation: https://lib.dr.iastate.edu/stat_las_pubs/304

Availability: https://lib.dr.iastate.edu/stat_las_pubs/304

Estimating Basis Functions in Massive Fields under the Spatial Mixed Effects Model

Authors: Pazdernik, Karl Maitra, Ranjan Statistics

Contributors: Pazdernik, Karl Maitra, Ranjan Statistics

Source: archive/lib.dr.iastate.edu/stat_las_pubs/304/2020_MaitraRanjan_EstimatingBasis.pdf|||Fri Jan 14 23:28:48 UTC 2022

Subject Terms: Statistical Methodology, kriging, fixed rank kriging, bandwidth, range parameter, basis functions, maximum likelihood estimation, Alternating Expectation Conditional Maximization algorithm

File Description: application/pdf

Relation: Estimating basis functions in massive fields under the spatial mixed effects model; archive/lib.dr.iastate.edu/stat_las_pubs/304/; 1307; stat_las_pubs/304; https://dr.lib.iastate.edu/handle/20.500.12876/90626

Availability: https://dr.lib.iastate.edu/handle/20.500.12876/90626
https://hdl.handle.net/20.500.12876/90626

Flexible High-Dimensional Unsupervised Learning with Missing Data.

Authors: Wei, Yuhong Tang, Yang McNicholas, Paul D.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence. Mar2020, Vol. 42 Issue 3, p610-621. 12p.

Subject Terms: *CONDITIONAL expectations, *PARAMETER estimation, *GAUSSIAN mixture models, *MISSING data (Statistics), *DATA analysis, *COVARIANCE matrices

An epigenetic pacemaker is detected via a fast conditional expectation maximization algorithm.

Authors: Snir, Sagi Pellegrini, Matteo

Source: Epigenomics; Jun2018, Vol. 10 Issue 6, p695-706, 12p

Expectation-Maximization Algorithm with Local Adaptivity.

Authors: Leung, Shingyu Liang, Gang Solna, Knut et al.

Source: SIAM Journal on Imaging Sciences; 2009, Vol. 2 Issue 3, p834-857, 24p, 2 Color Photographs, 21 Black and White Photographs, 16 Diagrams, 1 Chart

Subject Terms: EXPECTATION-maximization algorithms, IMAGE processing, GAUSSIAN processes, MATHEMATICAL models, ALGORITHMS

Extending Cluster-Weighted Factor Analyzers for Multivariate Prediction and Interpretability.

Authors: Qin, Xiaoke Martella, Francesca Subedi, Sanjeena

Source: Journal of Classification. Nov2025, p1-29.

Subject Terms: *FACTOR analysis, *CRIME analysis, *STATISTICAL models, *SOCIOECONOMIC factors, *PARAMETER estimation, *MULTIVARIATE analysis, *FINITE mixture models (Statistics)

Geographic Terms: UNITED States

Robust clustering of multiply censored data via mixtures of t factor analyzers.

Authors: Wang, Wan-Lun Lin, Tsung-I

Source: TEST; Mar2022, Vol. 31 Issue 1, p22-53, 32p

Unified Anomaly Suppression and Boundary Extraction in Laser Radar Range Imagery based on a Joint Curve-Evolution and Expectation-Maximization Algorithm.

Authors: Haihua Feng Karl, William Clem Castañon, David A.

Source: IEEE Transactions on Image Processing; May2008, Vol. 17 Issue 5, p757-766, 10p, 8 Diagrams, 3 Charts, 1 Graph

Subject Terms: FEATURE extraction, ELECTRONIC data processing, PATTERN recognition systems, IMAGE processing, OPTICAL radar, INFORMATION processing

A practical model-based segmentation approach for improved activation detection in single-subject functional magnetic resonance imaging studies.

Authors: Chen WC Maitra R

Source: Human brain mapping [Hum Brain Mapp] 2023 Nov; Vol. 44 (16), pp. 5309-5335. Date of Electronic Publication: 2023 Aug 04.

Publication Type: Journal Article; Research Support, N.I.H., Extramural

Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9419065 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0193 (Electronic) Linking ISSN: 10659471 NLM ISO Abbreviation: Hum Brain Mapp Subsets: MEDLINE

MeSH Terms: Algorithms* , Magnetic Resonance Imaging*/methods, Humans ; Computer Simulation ; Brain/diagnostic imaging ; Brain/physiology ; Brain Mapping/methods

Mixture of multivariate t nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values.

Authors: Wang, Wan-Lun

Source: TEST; Mar2019, Vol. 28 Issue 1, p196-222, 27p