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#maximumlikelihood — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #maximumlikelihood, aggregated by home.social.

  1. Quick DISTRIBUTION FITTING with @LabPlot (a new development version) in five easy steps:

    1. Select a data column in a spreadsheet.
    2. Context menu > Plot Data > Histogram.
    3. Select the histogram.
    4. Context menu > Analysis > Fit your distribution of choice (e.g. Gaussian).
    5. Tune the fitting properties (e.g. the Maximum Likelihood or Levenberg–Marquardt algorithm.

    #LabPlot #MaximumLikelihood #LevenbergMarquardt #DistributionFitting #Statistics #Gaussian #NormalDistribution

  2. Quick DISTRIBUTION FITTING with @LabPlot (a new development version) in five easy steps:

    1. Select a data column in a spreadsheet.
    2. Context menu > Plot Data > Histogram.
    3. Select the histogram.
    4. Context menu > Analysis > Fit your distribution of choice (e.g. Gaussian).
    5. Tune the fitting properties (e.g. the Maximum Likelihood or Levenberg–Marquardt algorithm.

  3. Quick DISTRIBUTION FITTING with floss.social/@LabPlot in five easy steps:

    1. Select a data column in a spreadsheet.
    2. Context menu > Plot Data > Histogram.
    3. Select the histogram.
    4. Context menu > Analysis > Fit your distribution of choice (e.g. Gaussian).
    5. Tune the fitting properties (e.g. the Maximum Likelihood or Levenberg–Marquardt algorithm.

    #LabPlot #MaximumLikelihood #LevenbergMarquardt #DistributionFitting #Statistics #Gaussian #NormalDistribution

  4. Quick DISTRIBUTION FITTING with floss.social/@LabPlot in five easy steps:

    1. Select a data column in a spreadsheet.
    2. Context menu > Plot Data > Histogram.
    3. Select the histogram.
    4. Context menu > Analysis > Fit your distribution of choice (e.g. Gaussian).
    5. Tune the fitting properties (e.g. the Maximum Likelihood or Levenberg–Marquardt algorithm.

    #LabPlot #MaximumLikelihood #LevenbergMarquardt #DistributionFitting #Statistics #Gaussian #NormalDistribution

  5. Quick DISTRIBUTION FITTING with @LabPlot (a new development version) in five easy steps:

    1. Select a data column in a spreadsheet.
    2. Context menu > Plot Data > Histogram.
    3. Select the histogram.
    4. Context menu > Analysis > Fit your distribution of choice (e.g. Gaussian).
    5. Tune the fitting properties (e.g. the Maximum Likelihood or Levenberg–Marquardt algorithm.

    #LabPlot #MaximumLikelihood #LevenbergMarquardt #DistributionFitting #Statistics #Gaussian #NormalDistribution

  6. What's the optimal sequence-length vs. number-of-species ratio for inferring a maximum likelihood phylogeny? And what would be a reasonable lower limit in sequence length for ~2000 species?

    I know this depends on multiple factors like sequence composition, level of conservation, taxonomic depth, etc. Looking for a rough estimate. I will be happy about literature pointers. Thank you in advance!

    #phylogenetics #MaximumLikelihood