Heh, heh ... Uniform distributions are not necessarily "non-informative" priors (itself, a non-definition). See, e.g. http://www.stats.org.uk/priors/noninformative/YangBerger1998.pdf . For a basic argument, see: http://www.amstat.org/publications/jse/v12n2/zhu.pdf
Further discussion is off-topic here (it's a statistical, not an R, question). I suggest you consult a local statistician for details. And your question itself is noninformative: how can one tell without knowing what you are trying to optimize, your data, your starting values, etc. (unless I have missed something obvious)? Finally, if this is homework, post elsewhere: this list has a no homework policy. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, Dec 10, 2015 at 9:26 AM, hms Dreams <[email protected]> wrote: > Hello, > I estimated three paramters using non informative prior(all paramters > following uniform distribution) > > the output is: > Error in optim(pars, li_func, control = list(fnscale = -1), hessian = TRUE, : > non-finite finite-difference value [1] > > How can I solve it using uniform distribution for all paramters?? > > (the same code is working when I use informative prior When I sugessted other > distriutions like gamma and exp.) > > Thank you > > [[alternative HTML version deleted]] > > ______________________________________________ > [email protected] mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ [email protected] mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
