Linked Questions

13 votes
12 answers

Why can you not find the probability of a specific value for the normal distribution? [duplicate]

I am learning about the normal distribution and was watching this video. At 6:28, the question imposed is what is the probability of an ice-cream weighing exactly 120 grams (using the normal ...
Christopher U's user avatar
20 votes
2 answers

R: geom_density values in y-axis [duplicate]

Why geom_density is showing me values higher than 1 in the density plot? How to change it into fraction? And my code used to generate the plot ...
kodi1911's user avatar
  • 460
19 votes
2 answers

Can the likelihood take values outside of the range [0, 1]? [duplicate]

I got a log-likelihood value of -34.82, so I am not getting whether the answer which I have got is right or not. Can the likelihood take values outside of the range $[0, 1]$?
user avatar
27 votes
1 answer

What does the y axis in a kernel density plot mean? [duplicate]

Possible Duplicate: Probability distribution value exceeding 1 is OK? I thought the area under the curve of a density function represents the probability of getting an x value between a range of ...
nachocab's user avatar
  • 525
12 votes
3 answers

Difference between density and probability [duplicate]

What is the difference between the density and probability? I have tried R in which I can use both pnorm and dnorm for the ...
Jamgreen's user avatar
  • 383
11 votes
1 answer

Kernel density estimate takes values larger than 1 [duplicate]

I am using scipy.stats.gaussian_kde to estimate a pdf for some data. The problem is that the resulting pdf takes values larger than 1. As far as I understand, this ...
Björn Pollex's user avatar
6 votes
2 answers

In R, what does a probability density function compute? [duplicate]

I understand that the probability density function, pdf, of a continuous random variable is the probability of the variable taking on a given value. I also thought that for a continuous random ...
mauna's user avatar
  • 576
5 votes
1 answer

Can log likelihood funcion be positive [duplicate]

I have a mixture data. I used EM to estimate the model parameters. When I calculate the log likelihood function, I found that the values is positive. So, is that ok. Can the log likelihood function ...
Alice's user avatar
  • 640
8 votes
3 answers

What do we exactly mean by "density" in Probability Density function (PDF)? [duplicate]

In general density is mass/volume. Also it's used for something like population density, which is population/unit area. What is significance of word density in PDF?
Ajey's user avatar
  • 175
5 votes
1 answer

Interpreting Gaussian probabilities greater than 1 [duplicate]

Possible Duplicate: Probability distribution value exceeding 1 is OK? I'm a bit confused how I am getting probabilities greater than 1 when calculating p(x | mu, sigma) when x = mu. For example, ...
Martin's user avatar
  • 53
1 vote
1 answer

My density plot in R has values beyond 1! How can I fix this? [duplicate]

I'm trying to plot a generalized pareto distribution with fixed initial values "scale" and "shape" to a random sequence of numbers. When I produce the plot with scale=1 and shape=1, I get the density ...
Kondo's user avatar
  • 249
0 votes
1 answer

What is the difference between dexp and pexp [duplicate]

I understand probability distribution but I am having a hard time getting a grasp on probability density function, specifically difference between dexp (density of exponential distribution) and pexp (...
bison2178's user avatar
  • 477
0 votes
1 answer

Why `Density plot` peak value is higher than 1? [duplicate]

Why the peak of density plot in the data given below is higher than 1? Shouldn't it be below 1? ...
user1140126's user avatar
0 votes
2 answers

Beta distribution and normalization [duplicate]

Here in the 4 pictures in the last answer, is the vertical axe the probability? I.e. it seems to me that it is somewhat unnormalized : it has the value 2 in the 2nd picture and 3 in the 3rd picture. ...
user2925716's user avatar
3 votes
1 answer

Why does my posterior distribution have probability values greater than 1? [duplicate]

I'm attempting to learn Bayesian modelling with PyMC, so I have been going through Cam Pilon Davidson's Probabilistic Programming for Hackers. I literally copied his code from chapter 1 and used my ...
De.rek's user avatar
  • 33

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