Applications of Hybrid Monte Carlo to Bayesian Generalized Linear Models: Quasicomplete Separation and Neural Networks

Journal of Computational and Graphical Statistics ◽

10.2307/1390827 ◽

1999 ◽

Vol 8 (4) ◽

pp. 779 ◽

Author(s):

Hemant Ishwaran

Keyword(s):

Neural Networks ◽

Monte Carlo ◽

Generalized Linear Models ◽

Linear Models ◽

Hybrid Monte Carlo

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Applications of Hybrid Monte Carlo to Bayesian Generalized Linear Models: Quasicomplete Separation and Neural Networks

Journal of Computational and Graphical Statistics ◽

10.1080/10618600.1999.10474849 ◽

1999 ◽

Vol 8 (4) ◽

pp. 779-799 ◽

Author(s):

Hemant Ishwaran

Keyword(s):

Neural Networks ◽

Monte Carlo ◽

Generalized Linear Models ◽

Linear Models ◽

Hybrid Monte Carlo

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From Generalized Linear Models to Neural Networks, and Back

SSRN Electronic Journal ◽

10.2139/ssrn.3491790 ◽

2019 ◽

Author(s):

Mario V. Wuthrich

Keyword(s):

Neural Networks ◽

Generalized Linear Models ◽

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Generalized Linear Models, Generalized Additive Models and Neural Networks: Comparative Study in Medical Applications

Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications ◽

10.1007/978-3-642-34904-1_33 ◽

2013 ◽

pp. 317-324 ◽

Author(s):

Ana Luisa Papoila ◽

Cristina Rocha ◽

Carlos Geraldes ◽

Patricia Xufre

Keyword(s):

Neural Networks ◽

Comparative Study ◽

Generalized Linear Models ◽

Linear Models ◽

Generalized Additive Models ◽

Additive Models ◽

Medical Applications

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A Monte Carlo-based pseudo-coefficient of determination for generalized linear models with binary outcome

Journal of Applied Statistics ◽

10.1080/02664763.2016.1257585 ◽

2016 ◽

Vol 44 (14) ◽

pp. 2458-2482

Author(s):

Selen Cakmakyapan ◽

Haydar Demirhan

Keyword(s):

Monte Carlo ◽

Generalized Linear Models ◽

Linear Models ◽

Coefficient Of Determination ◽

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A Hybrid Monte Carlo Method Based Artificial Neural Networks Approach for Rock Boundaries Identification: A Case Study from the KTB Bore Hole

Pure and Applied Geophysics ◽

10.1007/s00024-009-0533-y ◽

2009 ◽

Vol 166 (12) ◽

pp. 2059-2090 ◽

Author(s):

Saumen Maiti ◽

R. K. Tiwari

Keyword(s):

Neural Networks ◽

Monte Carlo ◽

Artificial Neural Networks ◽

Monte Carlo Method ◽

Hybrid Monte Carlo ◽

Artificial Neural

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Restricted ridge estimator in generalized linear models: Monte Carlo simulation studies on Poisson and binomial distributed responses

Communications in Statistics - Simulation and Computation ◽

10.1080/03610918.2017.1408822 ◽

2017 ◽

Vol 48 (4) ◽

pp. 1191-1218 ◽

Author(s):

Fikriye Kurtoğlu ◽

M. Revan Özkale

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Generalized Linear Models ◽

Linear Models ◽

Simulation Studies ◽

Ridge Estimator

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Short-term load forecasting using bayesian neural networks learned by Hybrid Monte Carlo algorithm

Applied Soft Computing ◽

10.1016/j.asoc.2011.07.001 ◽

2012 ◽

Vol 12 (6) ◽

pp. 1822-1827 ◽

Author(s):

Dong-xiao Niu ◽

Hui-feng Shi ◽

Desheng Dash Wu

Keyword(s):

Neural Networks ◽

Monte Carlo ◽

Load Forecasting ◽

Monte Carlo Algorithm ◽

Hybrid Monte Carlo ◽

Bayesian Neural Networks ◽

Short Term Load Forecasting

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Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks

Remote Sensing ◽

10.3390/rs10060939 ◽

2018 ◽

Vol 10 (6) ◽

pp. 939 ◽

Author(s):

Lea Beusch ◽

Loris Foresti ◽

Marco Gabella ◽

Ulrich Hamann

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Generalized Linear Models ◽

Linear Models ◽

Artificial Neural ◽

Rainfall Retrieval

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Monte Carlo EM algorithm for generalized linear models with linear structural random effects

2011 3rd International Conference on Computer Research and Development ◽

10.1109/iccrd.2011.5764054 ◽

2011 ◽

Author(s):

Xingcai Zhou

Keyword(s):

Monte Carlo ◽

Em Algorithm ◽

Random Effects ◽

Generalized Linear Models ◽

Linear Models ◽

Monte Carlo Em Algorithm ◽

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Predicting Movement of Homeless Young Adults: Artificial Neural Networks and Generalized Linear Models

Journal of the Society for Social Work and Research ◽

10.1086/696129 ◽

2018 ◽

Vol 9 (1) ◽

pp. 89-106

Author(s):

Edward Helderop ◽

Kristin M. Ferguson ◽

Tony H. Grubesic ◽

Kimberly Bender

Keyword(s):

Neural Networks ◽

Young Adults ◽

Artificial Neural Networks ◽

Generalized Linear Models ◽

Linear Models ◽

Homeless Young Adults ◽

Artificial Neural

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