Towards a Faster Implementation of Density Estimation With Logistic Gaussian Process Priors

Journal of Computational and Graphical Statistics ◽

10.1198/106186007x210206 ◽

2007 ◽

Vol 16 (3) ◽

pp. 633-655 ◽

Author(s):

Surya T Tokdar

Keyword(s):

Gaussian Process ◽

Density Estimation

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Posterior consistency of logistic Gaussian process priors in density estimation

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2005.09.005 ◽

2007 ◽

Vol 137 (1) ◽

pp. 34-42 ◽

Author(s):

Surya T. Tokdar ◽

Jayanta K. Ghosh

Keyword(s):

Gaussian Process ◽

Density Estimation ◽

Posterior Consistency

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Bayesian Semiparametric Density Estimation and Model Verification Using a Logistic–Gaussian Process

Journal of Computational and Graphical Statistics ◽

10.1198/1061860032021 ◽

2003 ◽

Vol 12 (3) ◽

pp. 548-565 ◽

Author(s):

Peter J Lenk

Keyword(s):

Gaussian Process ◽

Density Estimation ◽

Model Verification ◽

Bayesian Semiparametric ◽

Semiparametric Density Estimation

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Adaptive density estimation based on self-organizing incremental neural network using Gaussian process

2017 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2017.7966401 ◽

2017 ◽

Author(s):

Xiaoyu Wang ◽

Osamu Hasegawa

Keyword(s):

Neural Network ◽

Gaussian Process ◽

Density Estimation ◽

Self Organizing

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Laplace Approximation for Logistic Gaussian Process Density Estimation and Regression

Bayesian Analysis ◽

10.1214/14-ba872 ◽

2014 ◽

Vol 9 (2) ◽

pp. 425-448 ◽

Author(s):

Jaakko Riihimäki ◽

Aki Vehtari

Keyword(s):

Gaussian Process ◽

Density Estimation ◽

Laplace Approximation

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Least square and Gaussian process for image based microalgal density estimation

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2021.106678 ◽

2022 ◽

Vol 193 ◽

pp. 106678

Author(s):

Linh Nguyen ◽

Dung K. Nguyen ◽

Truong X. Nghiem ◽

Thang Nguyen

Keyword(s):

Gaussian Process ◽

Density Estimation ◽

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Adaptive Bayesian Density Estimation in $L^{p}$ -metrics with Pitman-Yor or Normalized Inverse-Gaussian Process Kernel Mixtures

Bayesian Analysis ◽

10.1214/14-ba863 ◽

2014 ◽

Vol 9 (2) ◽

pp. 475-520 ◽

Author(s):

Catia Scricciolo

Keyword(s):

Gaussian Process ◽

Density Estimation ◽

Inverse Gaussian ◽

Inverse Gaussian Process ◽

Bayesian Density Estimation

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Bandwidth selection in nonparametric spectral density estimation of the stationary Gaussian process

Acta Mathematicae Applicatae Sinica English Series ◽

10.1007/bf02029063 ◽

1996 ◽

Vol 12 (4) ◽

pp. 363-370 ◽

Author(s):

Dan Yu

Keyword(s):

Spectral Density ◽

Gaussian Process ◽

Density Estimation ◽

Bandwidth Selection ◽

Stationary Gaussian Process ◽

Spectral Density Estimation

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A Finite Element Method for Density Estimation with Gaussian Process Priors

SIAM Journal on Numerical Analysis ◽

10.1137/080736478 ◽

2010 ◽

Vol 47 (6) ◽

pp. 4759-4792 ◽

Author(s):

Michael Griebel ◽

Markus Hegland

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Gaussian Process ◽

Density Estimation ◽

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Probabilistic Modeling for Nonlinear and Non-Gaussian Systems Using Kernel Density Estimation and Gaussian Process

Transactions of the Institute of Systems Control and Information Engineers ◽

10.5687/iscie.33.303 ◽

2020 ◽

Vol 33 (12) ◽

pp. 303-313

Author(s):

Yasuaki Kaneda ◽

Satoshi Suzuki ◽

Yasuharu Irizuki

Keyword(s):

Gaussian Process ◽

Density Estimation ◽

Kernel Density Estimation ◽

Kernel Density ◽

Probabilistic Modeling ◽

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Functional regression approximate Bayesian computation for Gaussian process density estimation

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2016.05.009 ◽

2016 ◽

Vol 103 ◽

pp. 229-241 ◽

Author(s):

G.S. Rodrigues ◽

David J. Nott ◽

S.A. Sisson

Keyword(s):

Gaussian Process ◽

Density Estimation ◽

Approximate Bayesian Computation ◽

Functional Regression ◽

Bayesian Computation ◽

Approximate Bayesian

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