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An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization.

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Title: An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization.
Authors: Deng, Wei1 (AUTHOR), Lin, Guang2 (AUTHOR), Liang, Faming3 (AUTHOR) fmliang@purdue.edu
Source: Statistics & Computing. Aug2022, Vol. 32 Issue 4, p1-24. 24p.
Database: Mathematics Source
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Header DbId: msf
DbLabel: Mathematics Source
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  Data: An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization.
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  Data: <searchLink fieldCode="AR" term="%22Deng%2C+Wei%22">Deng, Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Guang%22">Lin, Guang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liang%2C+Faming%22">Liang, Faming</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> fmliang@purdue.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Statistics+%26+Computing%22">Statistics & Computing</searchLink>. Aug2022, Vol. 32 Issue 4, p1-24. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=157903888
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      – Type: doi
        Value: 10.1007/s11222-022-10120-3
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      – Code: eng
        Text: English
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        PageCount: 24
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      – TitleFull: An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization.
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            NameFull: Deng, Wei
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            NameFull: Lin, Guang
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            NameFull: Liang, Faming
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            – D: 01
              M: 08
              Text: Aug2022
              Type: published
              Y: 2022
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              Value: 32
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            – TitleFull: Statistics & Computing
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