Stochastic EM

2021 ◽

Author(s):

Q. Legros ◽

S. McLaughlin ◽

Y. Altmann ◽

S. Meignen

Keyword(s):

Em Algorithm ◽

Lidar Data ◽

Fast Analysis ◽

Stochastic Em Algorithm ◽

Stochastic Em

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Likelihood analysis and stochastic EM algorithm for left truncated right censored data and associated model selection from the Lehmann family of life distributions

Japanese Journal of Statistics and Data Science ◽

10.1007/s42081-021-00115-1 ◽

2021 ◽

Author(s):

Debanjan Mitra ◽

Debasis Kundu ◽

Narayanaswamy Balakrishnan

Keyword(s):

Model Selection ◽

Em Algorithm ◽

Censored Data ◽

Right Censored Data ◽

Stochastic Em Algorithm ◽

Likelihood Analysis ◽

Life Distributions ◽

Stochastic Em

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Efficient stochastic EM studies via dimensionality reduction of polynomial-chaos expansions

2018 7th International Conference on Modern Circuits and Systems Technologies (MOCAST) ◽

10.1109/mocast.2018.8376569 ◽

2018 ◽

Cited By ~ 1

Author(s):

Christos Salis ◽

Nikolaos Kantartzis ◽

Theodoras Zygiridis

Keyword(s):

Dimensionality Reduction ◽

Polynomial Chaos ◽

Polynomial Chaos Expansions ◽

Stochastic Em

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1D localization of highly correlated mobile stochastic EM sources using neural model

2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) ◽

10.1109/telsks.2017.8246221 ◽

2017 ◽

Cited By ~ 1

Author(s):

Zoran Stankovic ◽

Nebojsa Doncov ◽

Ivan Milovanovic ◽

Bratislav Milovanovic

Keyword(s):

Neural Model ◽

Highly Correlated ◽

Stochastic Em

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Parameter Estimation of Heavy-Tailed AR Model With Missing Data Via Stochastic EM

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2019.2899816 ◽

2019 ◽

Vol 67 (8) ◽

pp. 2159-2172 ◽

Cited By ~ 6

Author(s):

Junyan Liu ◽

Sandeep Kumar ◽

Daniel P. Palomar

Keyword(s):

Parameter Estimation ◽

Missing Data ◽

Ar Model ◽

Heavy Tailed ◽

Stochastic Em

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A Stochastic EM Algorithm for Progressively Censored Data Analysis

Quality and Reliability Engineering International ◽

10.1002/qre.1522 ◽

2013 ◽

Vol 30 (5) ◽

pp. 711-722 ◽

Cited By ~ 8

Author(s):

Mimi Zhang ◽

Zhisheng Ye ◽

Min Xie

Keyword(s):

Data Analysis ◽

Em Algorithm ◽

Censored Data ◽

Stochastic Em Algorithm ◽

Stochastic Em

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FITTING JOINT MODELING OF LONGITUDINAL AND TIME-TO-EVENT DATA USING STOCHASTIC EM APPROACH

Advances and Applications in Statistics ◽

10.17654/as064010033 ◽

2020 ◽

Vol 64 (1) ◽

pp. 33-62

Author(s):

Dina M. Sabry ◽

Ahmed M. Gad ◽

Ramadan H. Mohamed

Keyword(s):

Joint Modeling ◽

Event Data ◽

Time To Event ◽

Time To Event Data ◽

Stochastic Em

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Estimation of the number of stochastic EM sources in far-field using Probabilistic Neural Network

2015 12th International Conference on Telecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS) ◽

10.1109/telsks.2015.7357835 ◽

2015 ◽

Author(s):

Zoran Stankovic ◽

Nebojsa Doncov ◽

Ivan Milovanovic

Keyword(s):

Neural Network ◽

Probabilistic Neural Network ◽

Far Field ◽

Stochastic Em

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Variable Selection in a Log–Linear Birnbaum–Saunders Regression Model for High-Dimensional Survival Data via the Elastic-Net and Stochastic EM

Technometrics ◽

10.1080/00401706.2015.1133457 ◽

2016 ◽

Vol 58 (3) ◽

pp. 383-392 ◽

Cited By ~ 2

Author(s):

Yukun Zhang ◽

Xuewen Lu ◽

Anthony F. Desmond

Keyword(s):

Variable Selection ◽

Regression Model ◽

Survival Data ◽

Elastic Net ◽

High Dimensional ◽

Log Linear ◽

Stochastic Em

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Neural Model for Far-Field 1D Localization of Mobile Stochastic EM Sources with Partially Correlated Radiation

Proceedings of the International Scientific Conference - Sinteza 2017 ◽

10.15308/sinteza-2017-169-175 ◽

2017 ◽

Cited By ~ 1

Author(s):

Zoran Stanković ◽

Nebojša Dončov ◽

Ivan Milovanović ◽

Maja Sarevska ◽

Bratislav Milovanović

Keyword(s):

Neural Model ◽

Far Field ◽

Stochastic Em

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Stochastic EM algorithm for fast analysis of single waveform multi-spectral Lidar data

Likelihood analysis and stochastic EM algorithm for left truncated right censored data and associated model selection from the Lehmann family of life distributions

Efficient stochastic EM studies via dimensionality reduction of polynomial-chaos expansions

1D localization of highly correlated mobile stochastic EM sources using neural model

Parameter Estimation of Heavy-Tailed AR Model With Missing Data Via Stochastic EM

A Stochastic EM Algorithm for Progressively Censored Data Analysis

FITTING JOINT MODELING OF LONGITUDINAL AND TIME-TO-EVENT DATA USING STOCHASTIC EM APPROACH

Estimation of the number of stochastic EM sources in far-field using Probabilistic Neural Network

Variable Selection in a Log–Linear Birnbaum–Saunders Regression Model for High-Dimensional Survival Data via the Elastic-Net and Stochastic EM

Neural Model for Far-Field 1D Localization of Mobile Stochastic EM Sources with Partially Correlated Radiation

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