New LabPlot tutorial:
In this short video you'll learn how to fit a distribution to data.
#DistributionFitting #GaussianDistribution, #Log-normalDistribution #ProbabilityDistribution #PoissonDistribution #Binomial #Distribution #ExponentialDistribution #MaximumLikelihood
#distributionfitting #gaussiandistribution #log #poissondistribution #binomial #distribution #exponentialdistribution #maximumlikelihood #probabilitydistribution
New LabPlot tutorial
https://tube.kockatoo.org/w/9Kmqeefqw35EpEZj914N5p
In this short video you'll learn how to how to fit a distribution to data.
#DistributionFitting #GaussianDistribution, #Log-normalDistribution #Probability Distribution #PoissonDistribution #Binomial #Distribution #ExponentialDistribution #MaximumLikelihood
#distributionfitting #gaussiandistribution #log #probability #poissondistribution #binomial #distribution #exponentialdistribution #maximumlikelihood
Do you want to know how to fit a probability distribution to data? Watch the latest LabPlot's video tutorial.
https://www.youtube.com/watch?v=g0OQrAVwsTw
#DistributionFitting #ProbabilityDistribution #Distribution #StatisticalDistribution #Gaussian #Log-normal #Probability #Poisson #Binomial #Exponential #MaximumLikelihood #LabPlot
#labplot #maximumlikelihood #exponential #binomial #poisson #Probability #log #gaussian #statisticaldistribution #distribution #probabilitydistribution #distributionfitting
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 #OpenSource #MaximumLikelihood #LevenbergMarquardt #DistributionFitting #Statistics #Gaussian #NormalDistribution
#OpenSource #normaldistribution #gaussian #statistics #distributionfitting #levenbergmarquardt #maximumlikelihood #labplot
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
sorry machine learning, #ml is #maximumlikelihood. you need to find another abbreviation, because reading all the #ml hashtags in peoples' #introductions is very upsetting to me.
#introductions #maximumlikelihood #ml