Linked Questions
187 questions linked to/from Can a probability distribution value exceeding 1 be OK?
13
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12
answers
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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 ...
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20
votes
2
answers
69k
views
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
...
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19
votes
2
answers
21k
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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 $[0, 1]$?
ashika
27
votes
1
answer
51k
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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 ...
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12
votes
3
answers
23k
views
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 ...
- 383
11
votes
1
answer
12k
views
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 ...
- 1,373
6
votes
2
answers
5k
views
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 ...
- 576
5
votes
1
answer
9k
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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 ...
- 640
8
votes
3
answers
2k
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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?
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5
votes
1
answer
7k
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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, ...
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1
vote
1
answer
10k
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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 ...
- 249
0
votes
1
answer
5k
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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 (...
- 477
0
votes
1
answer
2k
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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?
...
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0
votes
2
answers
1k
views
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. ...
- 177
3
votes
1
answer
2k
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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 ...
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