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maximum-likelihood algorithm implemented with the fmincon function in  (MathWorks Inc)


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    MathWorks Inc maximum-likelihood algorithm implemented with the fmincon function in
    Maximum Likelihood Algorithm Implemented With The Fmincon Function In, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/likelihood+function/pmc11939063-426-9-17
    Average 90 stars, based on 1 article reviews
    maximum-likelihood algorithm implemented with the fmincon function in - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Frontal noradrenergic and cholinergic transients exhibit distinct spatiotemporal dynamics during competitive decision-making
    Article Snippet: Each model was fitted to the data using a maximum-likelihood algorithm implemented with the fmincon function in MATLAB, with the constraints 0 ≤ α , α K , α R , α U ≤ 1 , and 0 < β , β K . These fits also yielded latent decision variables such as action values and choice kernels that would be used for the subsequent multiple linear regression analyses.

    Article Title: Sight and sound out of synch: Fragmentation and renormalisation of audiovisual integration and subjective timing
    Article Snippet: A logistic function was then fitted to the psychometric data, using a maximum-likelihood algorithm provided by the PSIGNIFIT toolbox for Matlab ( ).

    Article Title: Motivation and Engagement during Visually Guided Behavior
    Article Snippet: We found that the contrast thresholds estimated using maximum likelihood algorithm (MATLAB, fminsearchbnd) were comparable to those estimated with LSE algorithm (Figure 1, n = 5 sessions; p = 0.6).

    Article Title: Pharmacokinetics and pharmacodynamics of levofloxacin in bronchial mucosa and lung tissue of patients undergoing pulmonary operation
    Article Snippet: Model fittings were performed by non-linear regression analysis using a maximum likelihood algorithm in Matlab software.

    Article Title: A Perceptual Evaluation of JPEG 2000 Image Compression for Digital Mammography: Contrast-Detail Characteristics
    Article Snippet: As described by Ohara et al., 23 one can then relate the probability of correct choice, p ( d ′), to the slope parameter u as [Eq. (A15) of ref. 23] where φ( t ) is the cumulative Gaussian distribution and the slope parameter u is estimated using a maximum-likelihood algorithm developed using MATLAB (Version 6, The MathWorks Inc., Natick, MA).

    Article Title: Motivation and Engagement during Visually Guided Behavior
    Article Snippet: We found that the contrast thresholds estimated using maximum likelihood algorithm (MATLAB, fminsearchbnd) were comparable to those estimated with LSE algorithm ( , n = 5 sessions; p = 0.6).

    Article Title: A Perceptual Evaluation of JPEG 2000 Image Compression for Digital Mammography: Contrast-Detail Characteristics
    Article Snippet: As described by Ohara et al., 23 one can then relate the probability of correct choice, p ( d ′), to the slope parameter u as [Eq. (A15) of ref. 23] 1 where φ( t ) is the cumulative Gaussian distribution and the slope parameter u is estimated using a maximum-likelihood algorithm developed using MATLAB (Version 6, The MathWorks Inc., Natick, MA).



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