distribution

c++ discrete distribution sampling with frequently changing probabilities

一笑奈何 提交于 2020-01-03 14:15:10
问题 Problem: I need to sample from a discrete distribution constructed of certain weights e.g. {w1,w2,w3,..}, and thus probability distribution {p1,p2,p3,...}, where pi=wi/(w1+w2+...). some of wi's change very frequently, but only a very low proportion of all wi's. But the distribution itself thus has to be renormalised every time it happens, and therefore I believe Alias method does not work efficiently because one would need to build the whole distribution from scratch every time. The method I

Submitted app to appstore with adhoc profile [closed]

笑着哭i 提交于 2020-01-03 08:23:09
问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 7 years ago . I submitted a new app to the app store today. The upload was accepted by Apple so I assume everything is correct. But I had a thought. Take a look at the screenshot I've attached, the distribution profile I used, the method is set to 'Ad-Hoc' (I was using that profile to send builds to the client). Should that

R: Contour plots for marginal distributions with discrete variables

感情迁移 提交于 2020-01-03 05:26:10
问题 I am given a dataset with various numeric variables. I'll try to plot for each combination of two variables a contour/heat map plot, which shows the distribution/density of datapoints with respect to the corresponding pair. For example, ggplot(data, aes(x=var1, y=var2) ) + stat_density_2d(aes(fill = ..density..), geom = "tile", contour = FALSE )+ scale_fill_gradient2(low="darkblue",high="darkred",mid="white",midpoint=0.005) This results in the following picture The issue is now: My data,

Upgraded Adhoc app deployment doesn't work on iOS previous to 7.1

北城余情 提交于 2020-01-02 21:54:49
问题 I had trouble with installing -deployed adhoc- development app before upgrading to iOS 7.1 and XCode 5.1 XCode 5.0 wasn't recognizing iPhones with iOS 7.1. We upgraded and everything seems fine until we deployed as adhoc distribution. I followed solution at Enterprise app deployment doesnt work on ios 7.1 and it greatly worked for installing the app in iphones with ios 7.1 But, now iphones with ios 7.0x can't install the app. Results that some of our boss' bosses hadn't upgraded and don't

Xcode product in red when in release mode

旧巷老猫 提交于 2020-01-02 07:31:09
问题 I want to distribute my app, i put code signing and everything and my last step was to set the build to release. I went to edit scheme and put build configuration to release and then my product turned red for some reason. I couldnt open it in finder therefore i cant send it. If I change it back to build mode it isnt red and I can open it in finder. What do I do? I have tried heaps of things but cannot get it to work! Please help, thank you 回答1: You simply need to need to build you product on

Generate list of n (strictly positive) values such that the list has predetermined mean x and std. dev. y

梦想与她 提交于 2020-01-02 07:14:00
问题 I would like to generate a list of n strictly positive values such that the list has a predetermined mean and standard deviation (can be close/not exact). I was using the uniform distribution's equations for expectation and variance and solving for 'a' and 'b', but the system of equations (for the specific mean and std. dev. I wanted) had no solutions for a, b >= 0. I was wondering if there was a plug-and-chug method to do this in any programming language, but hopefully in Python. Thanks! Ex:

PyMC: Getting zero or close-to-zero Categorical likelihood

橙三吉。 提交于 2020-01-02 05:20:09
问题 I am trying to estimate rates from a stochastic Petri Net model. I don't understand why, but I get a ZeroProbability Error, even when making up data data to correspond exactly to the expected number of observations given the initial values I define for the rates. For example, the following rates [0.01, 2, 10, 1] correpond to a probability of 3 different outcomes of [0.33, 0.66, 0.01]. If I observed, 100 outcomes, I would expect to observe that [33, 66, 1] fall within each of the outcomes. Yet

using fitdist from fitdistplus with binomial distribution

会有一股神秘感。 提交于 2020-01-02 04:54:06
问题 I just discovered the fitdistrplus package, and I have it up and running with a Poisson distribution, etc.. but I get stuck when trying to use a binomial: set.seed(20) #Binomial distributed, mean score of 2 scorebinom <- rbinom(n=40,size=8,prob=.25) fitBinom=fitdist(data=scorebinom, dist="binom", start=list(size=8, prob=mean(scorebinom)/8)) I get the error: Error in fitdist(data = scorebinom, dist = "binom", start = list(size = 8, : the function mle failed to estimate the parameters, with the

XCode 4, Invalid Signature (-19011)

家住魔仙堡 提交于 2020-01-01 15:04:49
问题 I'm goin mad. I'm using XCode 4 and finally i finished my app,and i was about to submit it to App Store,uploading to iTunes Connect. I tried to to Build for Archive but this warning showed up: Application failed codesign verification. The signature was invalid, or it was not signed with an Apple submission certificate. (-19011) I've googled all day long,i've tried to renew all my certificates in Provisioning Center,i've even tried to upload it with Application loader but anything happened.

XCode 4, Invalid Signature (-19011)

帅比萌擦擦* 提交于 2020-01-01 15:03:09
问题 I'm goin mad. I'm using XCode 4 and finally i finished my app,and i was about to submit it to App Store,uploading to iTunes Connect. I tried to to Build for Archive but this warning showed up: Application failed codesign verification. The signature was invalid, or it was not signed with an Apple submission certificate. (-19011) I've googled all day long,i've tried to renew all my certificates in Provisioning Center,i've even tried to upload it with Application loader but anything happened.