Search Results - "alternating expectation conditional maximization algorithm"

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

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

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

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