Prediction of Multimodal Poisson Variable using Discretization of Gaussian Data

Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics ◽

10.5220/0010575006000608 ◽

2021 ◽

Author(s):

Evženie Uglickich ◽

Ivan Nagy ◽

Matej Petrouš

Keyword(s):

Poisson Variable ◽

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Prediction of Multimodal Poisson Variable using Discretization of Gaussian Data

10.5220/0010575000002994 ◽

2021 ◽

Author(s):

Evženie Uglickich ◽

Ivan Nagy ◽

Matej Petrouš

Keyword(s):

Poisson Variable ◽

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Dynamic multiscale spatiotemporal models for multivariate Gaussian data

Spatial Statistics ◽

10.1016/j.spasta.2020.100475 ◽

2021 ◽

Vol 41 ◽

pp. 100475

Author(s):

Mohamed Elkhouly ◽

Marco A.R. Ferreira

Keyword(s):

Multivariate Gaussian ◽

Spatiotemporal Models ◽

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Edge-preserving tomographic reconstruction from gaussian data using a gibbs prior and a generalized expectation-maximization algorithm

International Journal of Imaging Systems and Technology ◽

10.1002/ima.1850050306 ◽

1994 ◽

Vol 5 (3) ◽

pp. 231-238 ◽

Author(s):

Luigi Bedini ◽

Emanuele Salerno ◽

Anna Tonazzini

Keyword(s):

Expectation Maximization ◽

Tomographic Reconstruction ◽

Expectation Maximization Algorithm ◽

Edge Preserving ◽

Gaussian Data ◽

Generalized Expectation

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Chapter 16: Analysis of Non-Gaussian Data

Applied Statistics in Agricultural, Biological, and Environmental Sciences ◽

10.2134/appliedstatistics.2015.0081 ◽

2018 ◽

Author(s):

Walter W. Stroup ◽

Glaz Barry ◽

Kathleen M. Yeater

Keyword(s):

Non Gaussian ◽

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Preconditioning the support vector machine algorithm to suit margin and outlier priors of Gaussian data

10.1063/1.5139170 ◽

2019 ◽

Author(s):

Shaira Lee L. Pabalan ◽

Louie John D. Vallejo

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Support Vector Machine Algorithm ◽

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Cluster Sampling Filters for Non-Gaussian Data Assimilation

10.3390/atmos9060213 ◽

2018 ◽

Vol 9 (6) ◽

pp. 213 ◽

Author(s):

Ahmed Attia ◽

Azam Moosavi ◽

Adrian Sandu

Keyword(s):

Data Assimilation ◽

Cluster Sampling ◽

Non Gaussian ◽

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Modification of GEE1 and linear mixed-effects models for heteroscedastic longitudinal Gaussian data

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2016.1260737 ◽

2016 ◽

Vol 46 (22) ◽

pp. 11110-11122 ◽

Author(s):

Eiji Nakashima

Keyword(s):

Mixed Effects ◽

Mixed Effects Models ◽

Linear Mixed Effects Models ◽

Linear Mixed Effects ◽

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Abnormality Detection with Rényi Divergence for Univariate Gaussian Data

2019 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM) ◽

10.1109/pacrim47961.2019.8985131 ◽

2019 ◽

Author(s):

Ying Xiong ◽

Yindi Jing ◽

Tongwen Chen

Keyword(s):

Abnormality Detection ◽

Rényi Divergence ◽

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Tracking analysis of the sign-sign algorithm for nonstationary adaptive filtering with Gaussian data

IEEE Transactions on Signal Processing ◽

10.1109/78.575714 ◽

1997 ◽

Vol 45 (5) ◽

pp. 1375-1378 ◽

Author(s):

E. Eweda

Keyword(s):

Adaptive Filtering ◽

Sign Algorithm ◽

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Steady-state performance of incremental learning over distributed networks for non-Gaussian data

2008 9th International Conference on Signal Processing ◽

10.1109/icosp.2008.4697112 ◽

2008 ◽

Author(s):

Leilei Li ◽

Yonggang Zhang ◽

Jonathon A. Chambers ◽

Ali H. Sayed

Keyword(s):

Steady State ◽

Incremental Learning ◽

Distributed Networks ◽

Non Gaussian ◽

Gaussian Data ◽

Steady State Performance

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