About 1,511,972 results (1,919 milliseconds)
calibration lognormal priors
https://groups.google.com/g/beast-users/c/Hd5536qyCxk Jul 19, 2007 ... There is a brief mention in the Beast manual about a translated lognormal distribution ... lognormal or an exponential distribution. Thanks ...
Lognormal Distribution Setup
https://groups.google.com/g/jaamsim-users/c/d2yp8OcCUCM In my data, the Scale (alpha) parameter is -0.53, but Jaamsim will not accept a number less than zero here. A negative scale is a valid input for a lognormal ...
Lognormal calibration priors
https://groups.google.com/g/beast-users/c/sx93nKLy3hM This occurs with both the exponential and lognormal relaxed clock models. When I use normal distributions (all else being equal), the analysis runs just fine.
Doubt on Clock Rate and Calibration Prior - Can I use Lognormal ...
https://groups.google.com/g/beast-users/c/EL39SL5Q7ts Apr 2, 2024 ... My doubt here is, I have selected a LogNormal Relaxed Clock. Whereas I have chosen 'Normal' distribution for MRCA prior. Is this correct? Or ...
Clarification of logNormal sampling function
https://groups.google.com/g/stan-users/c/9qT4boGmEv8 if log(y) has a normal(mu,sigma) distribution. > For example, if I wanted to specify a log-Normal hyperprior on a variance parameter (which can't be less than ...
LOGNORMDIST - Google Docs Editors Help
https://support.google.com/docs/answer/3094011?hl=en A log-normal distribution function is a probability distribution function of a random variable whose logarithm is normally distributed. See Also. WEIBULL ...
offset for lognormal prior
https://groups.google.com/g/beast-users/c/9jGZUg-FXSE I want to put a lognormal prior distribution on the root of my tree: I have both a minimum age (~2 ma, from the fossil record) and an estimate of mean ...
beast mrca and offset value
https://groups.google.com/g/beast-users/c/gY0Ox9ExTZY Nov 22, 2023 ... THANKS Alexei drummond. I have used log normal distribution in add prior. I am attaching a screenshot. Are all my parameters correct? please ...
Issue with Lognormal distribution
https://groups.google.com/g/jaamsim-users/c/gx99yeeLAfU Harry King · The values for the SciPy lognormal parameters: s, loc, and scale that you fitted to your data set · The values for the mean and standard deviation ...
Composite lognormal-pareto distribution
https://groups.google.com/g/netlogo-users/c/cRbeJWdQa1o Aug 5, 2018 ... Dear all, for the model I am working on, I would like to distribute a certain variable X as a composite lognormal-pareto. ... Now, how can I ...
Re: Function behind the Log-normal distribution in StatsGenerator
https://groups.google.com/g/dream3d-users/c/1DLVihWs4SA The computation of the y value for each bin is just application of the probability density function for the lognormal distribution. The above code properly ...
Setting lognormal upper bound for MRCA prior
https://groups.google.com/g/beast-users/c/hjk7djfSLkw Sep 11, 2023 ... I'd like to use lognormal distribution for the prior, but I have trouble setting it correctly in Beauti. By default, the offset value is the ...
error in applying Stan to multivariate Poisson-log normal model
https://groups.google.com/g/stan-users/c/hJh0fQzK6R4 Apr 10, 2017 ... ... log normal model with an inverse Wishart prior. My ... cov_matrix[J] sig_mvn;// covariance matrix of multivariate normal distribution }
Lognormal Distributions: Theory and Applications - Crow - Google ...
https://books.google.com/books/about/Lognormal_Distributions.html?id=B8kNa1khS4QC Dec 29, 1987 ... Lognormal Distributions: Theory and Applications ... Featuring over 600 references plus author and subject indexes, this volume rev iews ...
Fwd: brms hurdle model with normal distribution instead of lognormal?
https://groups.google.com/g/brms-users/c/C9p6KqgPS_s If you want to fit a hurdle_normal model, you have to use the new custom_family feature of brms (only available in the current dev version from github). See ...
How do I interpret different results in a standard and a mixed logit ...
https://groups.google.com/g/biogeme/c/ArHzbv6xDg0 But taking log-normal distribution of one parameter changes the sign of the parameter though the model fitting improves. As lognormal has positive support, you ...
Default prior distributions | Meridian | Google for Developers
https://developers.google.com/meridian/docs/advanced-modeling/default-prior-distributions LogNormal(0.2, 0.9). Probability density for the log-normal distribution. Rationale: This prior says that a priori the mean ROI of each channel is 1.83, 50 ...
[Numpy-discussion] Fitting Log normal or truncated log normal ...
https://groups.google.com/g/numpy/c/tY_3D8Aq65c Jun 30, 2011 ... I have three points 10800, 81100, 582000. What is the easiest way of fitting a log normal and truncated log normal distribution to these three ...
logarithm of (normal cdf)
https://groups.google.com/g/comp.soft-sys.matlab/c/aTDt_1tJctA I'm looking for an algorithm that will compute the logarithm of the usual Gaussian CDF function. Note that I'm not interested in the "lognormal" distribution.
Width vs. FWHM of LogNormal Distribution
https://groups.google.com/g/fityk-users/c/GnVwckmhLvQ I'm fitting some data with a LogNormal distribution and saw that Fityk is giving me a parameter "width" and a parameter "FWHM". Can someone explain to me what ...