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Researchers from Harbin Institute of Technology Describe Findings in Soft Computing (A Hybrid Retrieval Strategy for Case-based Reasoning Using Soft Likelihood Functions).

• Source: Computer Weekly News. 2022, pages. 471

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Ranking crop yield models using out-of-sample likelihood functions.

• Authors : Norwood, Bailey; Roberts, Matthew C.; Lusk, Jayson L.

• Source: American Journal of Agricultural Economics. 2004, Vol. 86, Issue 4, pages. 12

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Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions, 2nd ed.

• Authors : Carlin, Bradley P.

• Source: Journal of the American Statistical Association. 1994, Vol. v89, Issue n427, pages. 2

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Local polynomial kernel regression for generalized linear models and quasi-likelihood functions.

• Authors : Fan, Jianqing; Hickman, Nancy E.; Wand, M.P.

• Source: Journal of the American Statistical Association. 1995, Vol. v90, Issue n429, pages. 10

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US Patent Issued to Chevron U.S.A. on April 15 for "Method, system and program storage device for history matching and forecasting of hydrocarbon-bearing reservoirs utilizing proxies for likelihood functions" (California Inventor).

• Source: Australian Government. 2014.

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Australia Patent: Chevron U.S.A. Files Application for 'History matching and forecasting of hydrocarbon-bearing reservoirs utilizing proxies for likelihood functions'.

• Source: Australian Government. 2013.

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Australia Patent: Application for 'History matching and forecasting of hydrocarbon-bearing reservoirs utilizing proxies for likelihood functions' Lapses.

• Source: Australian Government. 2013.

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Australia Patent: Chevron USA Files Application for 'History matching and forecasting of hydrocarbon-bearing reservoirs utilizing proxies for likelihood functions'.

• Source: Australian Government. 2013.

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Divide and Conquer: Recursive Likelihood Function Integration for Hidden Markov Models with Continuous Latent Variables.

• Authors : Reich, Gregor

• Source: Operations Research. 2018, Vol. 66, Issue 6, pages. 14

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Optimal sparse segment identification with application in copy number variation analysis.

• Authors : Jeng, X. Jessie; Cai, T. Tony; Li, Hongzhe

• Source: Journal of the American Statistical Association. 2010, Vol. 105, Issue 491, pages. 11

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