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Interpret the result of a fitted non-stationary Gumbel model

I have a dataset on wildfires that I fitted to a Gumbel distribution with a set of covariates (using the gevrFit function in the eva package in R). The result of ...
nilesguo's user avatar
2 votes
0 answers
312 views

How to train a generalized extreme value model for anomaly detection?

Background I am building an anomaly detection solution. So far I used the simple z-score (#std from mean) approach. The latter implicitly assumes an underlying stationary Gaussian model. However, the ...
Hanan Shteingart's user avatar
1 vote
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21 views

What do you recommend to see if my data fits Minimum Extreme Value distribution?

I have the following data: ...
sango's user avatar
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1 vote
0 answers
99 views

Fitting of bivariate data to a self-defined probability density function

I have a bivariate set of data points which I want to fit to a self-defined distribution (i.e. not standard normal or chi-square or like that, a different, let's say "new" density function). I would ...
Scrofungulus's user avatar
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1 answer
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Compare return levels of fitted GPD using MLE in different R packages

This question is related to this post: Different quantiles of a fitted GPD in different R packages? I want to constraint "potvalues" data to be in a period of 6 years, this is, 16 observations per ...
alexyshr's user avatar