Výsledky vyhľadávania - "expectation-conditional maximization algorithm"

Estimation of the probability of informed trading models via an expectation-conditional maximization algorithm

Autori: Ghachem, Montasser Ersan, Oguz

Zdroj: Financial Innovation. 11(1)

Predmety: Expectation conditional-maximization algorithm, ECM, PIN model, MPIN, Multilayer probability of informed trading, Adjusted PIN model, Maximum-likelihood estimation, Private information, Information asymmetry, C13, C38, G14, G17

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-248879
https://doi.org/10.1186/s40854-024-00729-w

Developing Burr-XII NHPP-based software reliability growth model using Expectation Conditional Maximization Algorithm

Autori: Sheng Han Qiang Han Yixin Qiao a ďalší

Zdroj: Proceedings of the 15th Asia-Pacific Symposium on Internetware. :387-396

Spectrum adapted expectation-conditional maximization algorithm for extending high–throughput peak separation method in XPS analysis

Autori: Naoka Nagamura Yasunobu Ando Shotaro Akaho a ďalší

Zdroj: Science and Technology of Advanced Materials: Methods, Vol 1, Iss 1, Pp 45-55 (2021)

Predmety: high-throughput analysis, 0103 physical sciences, TA401-492, x-ray photoelectron spectroscopy, 02 engineering and technology, 0210 nano-technology, peak fitting, Materials of engineering and construction. Mechanics of materials, 01 natural sciences, expectation-conditional maximization algorithm

Prístupová URL adresa: https://www.tandfonline.com/doi/pdf/10.1080/27660400.2021.1899449?needAccess=true
https://doaj.org/article/c31f44687b784453bec00cfd97335468
https://www.tandfonline.com/doi/pdf/10.1080/27660400.2021.1899449
https://www.tandfonline.com/doi/full/10.1080/27660400.2021.1899449

An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model

Autori: Xiaonan Zhu Zheng Wei Tonghui Wang a ďalší

Zdroj: Computational Statistics. 39:1539-1558

Spectrum adapted expectation-conditional maximization algorithm for extending high-throughput peak separation method in XPS analysis.

Additional Titles: Spectrum adapted expectation-conditional maximization algorithm for extending high-throughput peak separation method in XPS analysis

Autori: Ando, Yasunobu

Témy: Journal Article., NA.

URL: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100914729
https://doi.org/10.1080/27660400.2021.1899449

Estimation of the Probability of Informed Trading Models Via an Expectation-Conditional Maximization Algorithm

Autori: Montasser Ghachem Oguz Ersan

Zdroj: Financial Innovation, Vol 11, Iss 1, Pp 1-37 (2025)

Predmety: Multilayer probability of informed trading, Adjusted PIN model, ECM, K4430-4675, PIN model, HG1-9999, MPIN, Public finance, Expectation conditional-maximization algorithm, Finance

Prístupová URL adresa: https://doaj.org/article/b638e486f24e4ed59fb0c12c7c4fb433

Maximum-Likelihood Estimation of Parameters of NHPP Software Reliability Models Using Expectation Conditional Maximization Algorithm

Autori: Chathuri L. Jayasinghe Vidhyashree Nagaraju Lance Fiondella a ďalší

Zdroj: IEEE Transactions on Reliability. 65:1571-1583

Predmety: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://xplqa30.ieee.org/document/7511681/
https://ieeexplore.ieee.org/document/7511681
https://doi.org/10.1109/TR.2016.2570557
https://dblp.uni-trier.de/db/journals/tr/tr65.html#ZeephongsekulJF16
http://ieeexplore.ieee.org/document/7511681
http://dr.lib.sjp.ac.lk/handle/123456789/6979

Online remaining-useful-life estimation with a Bayesian-updated expectation-conditional-maximization algorithm and a modified Bayesian-model-averaging method

Autori: Changhua Hu Yong Yu Jianxun Zhang a ďalší

Zdroj: Science China Information Sciences. 64

Predmety: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://link.springer.com/article/10.1007/s11432-019-2724-5
https://doi.org/10.1007/s11432-019-2724-5
https://dblp.uni-trier.de/db/journals/chinaf/chinaf64.html#YuSHZZ21

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

Autori: Phillip Shreeves Jeffrey L. Andrews

Zdroj: Stat. 8

Predmety: 0101 mathematics, 01 natural sciences

Prístupová URL adresa: 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

Autori: Subrata Pal Somak Dutta Ranjan Maitra a ďalší

Prispievatelia: Subrata Pal Somak Dutta Ranjan Maitra a ďalší

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

Predmety: 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 súboru: application/pdf

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

Spectrum adapted expectation-conditional maximization algorithm for extending high–throughput peak separation method in XPS analysis

Autori: Tarojiro Matsumura Naoka Nagamura Shotaro Akaho a ďalší

Relation: oai:t2r2.star.titech.ac.jp:50694821

Dostupnosť: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100914729

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

Autori: Wei‐Chen Chen Ranjan Maitra Statistics

Prispievatelia: Wei‐Chen Chen Ranjan Maitra Statistics

Zdroj: Hum Brain Mapp

Predmety: FOS: Computer and information sciences, J.3, DegreeDisciplines::Life Sciences::Research Methods in Life Sciences, G.3, Machine Learning (stat.ML), Statistics - Applications, Statistics - Computation, 62P10 (Primary), 62P30, 62E20, 62H10, 62H35, Methodology (stat.ME), 03 medical and health sciences, 0302 clinical medicine, Statistics - Machine Learning, Humans, Computer Simulation, Applications (stat.AP), expectation gathering maximization, probabilistic threshold-free cluster enhancement, Statistics - Methodology, Research Articles, Computation (stat.CO), I.4.0, Brain Mapping, algorithm, persistent vegetative state, traumatic brain injury, I.4.6, Brain, alternating partial expectation conditional maximization algorithm, Magnetic Resonance Imaging, DegreeDisciplines::Physical Sciences and Mathematics::Statistics and Probability, I.2.1, cluster thresholding, spatial mixture model, Flanker task, MixfMRI, false discovery rate, Algorithms

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37539821
http://arxiv.org/abs/2102.03639

An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model.

Autori: Zhu, Xiaonan Wei, Zheng Wang, Tonghui a ďalší

Zdroj: Computational Statistics; May2024, Vol. 39 Issue 3, p1539-1558, 20p

Predmety: CONDITIONAL expectations, EXPECTATION-maximization algorithms, STOCHASTIC models, ALGORITHMS

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

Autori: Karl Pazdernik Ranjan Maitra Statistics

Prispievatelia: Karl Pazdernik Ranjan Maitra Statistics

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

Predmety: 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 súboru: application/pdf

Prístupová 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

An empirical approach to measure unobserved cultural relations using music trade data

Autori: Yuki Takara Shingo Takagi

Zdroj: Journal of Cultural Economics. 47:205-245

Predmety: Music trade, 0502 economics and business, 05 social sciences, Cultural relations, Gravity equation, Interactive fixed effect, Expectation conditional maximization algorithm

Spatial modeling of individual‐level infectious disease transmission: Tuberculosis data in Manitoba, Canada

Autori: Leila Amiri Mahmoud Torabi Rob Deardon a ďalší

Zdroj: Statistics in Medicine. 40:1678-1704

Predmety: Canada, Models, Statistical, Statistics & Probability, 0104 Statistics, conditional autoregressive model, Manitoba, Statistical, Communicable Diseases, 01 natural sciences, 1117 Public Health and Health Services, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Models, Humans, Tuberculosis, susceptible-infected-removed model, 0101 mathematics, expectation conditional maximization algorithm, individual-level models

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/33469942
https://onlinelibrary.wiley.com/doi/abs/10.1002/sim.8863
http://onlinelibrary.wiley.com/doi/10.1002/sim.8863
https://pubmed.ncbi.nlm.nih.gov/33469942/
https://www.ncbi.nlm.nih.gov/pubmed/33469942
http://www.ncbi.nlm.nih.gov/pubmed/33469942
http://hdl.handle.net/10044/1/100452

High-throughput XPS spectrum modeling with autonomous background subtraction for 3d5/2 peak mapping of SnS

Autori: Tarojiro Matsumura Naoka Nagamura Shotaro Akaho a ďalší

Zdroj: Science and Technology of Advanced Materials: Methods, Vol 3, Iss 1 (2023)

Predmety: peak fitting, background subtraction, x-ray photoelectron spectroscopy, expectation-conditional maximization algorithm, high-throughput analysis, Materials of engineering and construction. Mechanics of materials, TA401-492

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2766-0400

Prístupová URL adresa: https://doaj.org/article/7882181d2a50495d84c02bb67375fb60

Spectrum adapted expectation-conditional maximization algorithm for extending high–throughput peak separation method in XPS analysis

Zdroj: Spectrum adapted expectation-conditional maximization algorithm for extending high–throughput peak separation method in XPS analysis.

The parsimonious Gaussian mixture models with partitioned parameters and their application in clustering.

Autori: Olyaei, Niloofar Aslani Akhore Khazaei, Mojtaba Najarzadeh, Dariush

Zdroj: Statistical Methods & Applications. Apr2024, Vol. 33 Issue 2, p407-437. 31p.

Predmety: *CLUSTER analysis (Statistics), *GAUSSIAN distribution, *STATISTICAL correlation, GAUSSIAN mixture models, COVARIANCE matrices, MIXTURES

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

Autori: Pazdernik, Karl Maitra, Ranjan Statistics

Prispievatelia: Pazdernik, Karl Maitra, Ranjan Statistics

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

Predmety: 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 súboru: 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

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