Search Results - expectation conditional maximization algorithm

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

Authors: Ghachem, Montasser Ersan, Oguz

Source: Financial Innovation. 11(1)

Subject Terms: 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

File Description: print

Access URL: 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

Authors: Sheng Han Qiang Han Yixin Qiao et al.

Source: 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

Authors: Naoka Nagamura Yasunobu Ando Shotaro Akaho et al.

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

Subject Terms: 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

Access URL: 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.

Authors: Zhu, Xiaonan Wei, Zheng Wang, Tonghui et al.

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

Subject Terms: *CONDITIONAL expectations, *EXPECTATION-maximization algorithms, *STOCHASTIC models, *ALGORITHMS

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

Authors: Ando, Yasunobu

Index Terms: 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

Authors: Montasser Ghachem Oguz Ersan

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

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

Access URL: https://doaj.org/article/b638e486f24e4ed59fb0c12c7c4fb433

On Classical Inference of a Flexible Semi‐Parametric Class of Distributions Under a Joint Balanced Progressive Censoring Scheme.

Authors: Bhattacharyya, Dhrubasish Kundu, Debasis

Source: Applied Stochastic Models in Business & Industry. Jan/Feb2025, Vol. 41 Issue 1, p1-14. 14p.

Subject Terms: *EMPIRICAL research, PROPORTIONAL hazards models, EXPECTATION-maximization algorithms, CENSORING (Statistics), STATISTICAL models, INFERENTIAL statistics, MAXIMUM likelihood statistics, HAZARD function (Statistics)

Estimating Sparse Direct Effects in Multivariate Regression With the Spike-and-Slab LASSO.

Authors: Shen, Yunyi Solís-Lemus, Claudia Deshpande, Sameer K.

Source: Bayesian Analysis; Sep2025, Vol. 20 Issue 3, p1031-1055, 25p

Subject Terms: EXPECTATION-maximization algorithms, GUT microbiota, CONDITIONAL expectations, MATRIX effect, OLDER people, PARTIAL least squares regression

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

Authors: Chathuri L. Jayasinghe Vidhyashree Nagaraju Lance Fiondella et al.

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

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

Access URL: 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

Authors: Changhua Hu Yong Yu Jianxun Zhang et al.

Source: Science China Information Sciences. 64

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

Access URL: 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

Enhancing parameter estimation in finite mixture of generalized normal distributions.

Authors: Duttilo, Pierdomenico Gattone, Stefano Antonio

Source: Computational Statistics. Nov2025, Vol. 40 Issue 8, p4607-4634. 28p.

Subject Terms: *PARAMETER estimation, *EXPECTATION-maximization algorithms, *MAXIMUM likelihood statistics, *FINITE mixture models (Statistics), *MATHEMATICAL optimization, *MIXTURES, *GOODNESS-of-fit tests

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

Adaptive gait recognition model and automatic velocity-robust feature selection based on a new Constrained Expectation Conditional-Maximization learning algorithm

Authors: Ryojun Ikeura Tatsuya Suzuki Dapeng Zhang et al.

Source: 2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE). :417-421

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Access URL: https://ieeexplore.ieee.org/document/6664875/

Cooperative Localization in WSNs Using Gaussian Mixture Modeling: Distributed ECM Algorithms

Authors: Yin, Feng Fritsche, Carsten Jin, Di et al.

Source: IEEE Transactions on Signal Processing. 63(6):1448-1463

Subject Terms: Centralized and distributed algorithms, cooperative localization, expectation-conditional maximization (ECM), Gaussian mixture, wireless sensor network (WSN)

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-116504
https://liu.diva-portal.org/smash/get/diva2:798989/FULLTEXT01.pdf

Threshold-free multi-attributes physical layer authentication based on expectation–conditional maximization channel estimation in Internet of Things.

Authors: Jing, Tao Huang, Hongyan Wu, Yue et al.

Source: International Journal of Distributed Sensor Networks. Jul2022, Vol. 18 Issue 7, p1-16. 16p.

Subject Terms: *INTERNET of things, *LOGISTIC regression analysis, *CHANNEL estimation, *TELECOMMUNICATION systems, *DISTRIBUTION (Probability theory), *INTERNET security, *FALSE alarms, *LINEAR network coding

An expectation-conditional maximization-based Weibull-Gompertz mixture model for analyzing competing-risks data: Using post-transplant malignancy data

Authors: Mahmood Salesi Abbas Rahimi-Foroushani Jamile Mohammadi et al.

Source: Journal of Biostatistics and Epidemiology, Vol 2, Iss 1 (2016)

Subject Terms: mixture models, competing risks, expectation-conditional maximization algorithm, post-transplant malignancy, Biology (General), QH301-705.5, Probabilities. Mathematical statistics, QA273-280

File Description: electronic resource

Relation: https://jbe.tums.ac.ir/index.php/jbe/article/view/43; https://doaj.org/toc/2383-4196; https://doaj.org/toc/2383-420X

Access URL: https://doaj.org/article/e8fbd4d340084635ac52ff0f8a826929

Range-based volatility modeling in financial markets using a family of scale mixtures of Birnbaum-Saunders distribution.

Authors: Tamandi, Mostafa Desmond, Anthony F. Jamalizadeh, Ahad

Source: Communications in Statistics: Simulation & Computation. 2024, Vol. 53 Issue 10, p4956-4975. 20p.

Subject Terms: *MONTE Carlo method, *FINANCIAL markets, *MARKET volatility, EXPECTATION-maximization algorithms, MIXTURES

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

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

Evaluating the Effectiveness of the Expectation-Maximization (EM) Algorithm for Bayesian Network Calibration

Authors: Tingir, Seyfullah

Source: ProQuest LLC. 2019Ph.D. Dissertation, The Florida State University.

Peer Reviewed: N

Page Count: 85

Descriptors: Bayesian Statistics, Statistical Analysis, Scoring, Probability, Sample Size, Test Format, Test Items, Statistical Bias, Classification, Reliability

Access URL: https://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:13811281