Výsledky vyhledávání - "Alternating Expectation Conditional Maximization algorithm"

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

Autoři: Subrata Pal Somak Dutta Ranjan Maitra a další

Přispěvatelé: Subrata Pal Somak Dutta Ranjan Maitra a další

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

Témata: 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

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2103.01532

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

Autoři: Karl Pazdernik Ranjan Maitra Statistics

Přispěvatelé: Karl Pazdernik Ranjan Maitra Statistics

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

Témata: 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

Popis souboru: application/pdf

Přístupová URL adresa: 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

Autoři: Pazdernik, Karl Maitra, Ranjan Statistics

Přispěvatelé: Pazdernik, Karl Maitra, Ranjan Statistics

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

Témata: 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

Popis souboru: 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

Dostupnost: 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

Autoři: Pal, Subrata Dutta, Somak Maitra, Ranjan a další

Přispěvatelé: Pal, Subrata Dutta, Somak Maitra, Ranjan a další

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

Témata: 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

Popis souboru: application/pdf

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

Dostupnost: 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

Autoři: Pazdernik, Karl T. Maitra, Ranjan

Zdroj: Statistics Publications

Témata: 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

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

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

Autoři: Pazdernik, Karl Maitra, Ranjan Statistics

Přispěvatelé: Pazdernik, Karl Maitra, Ranjan Statistics

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

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

Popis souboru: 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

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