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I get different results in an extremely simple dynamic linear model, using dlm package in R and pydlm.
In particular, I create a random walk + noise dlm (that is dlm with just a trend of degree 0 or …
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Hi,
Is it a way to define a custom variogram model instead of a custom covariance model in order to perform simulation of the field?
I want to define directly the variogram since the field is n…
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can statsmodels give the result of different covariance structures which are realized in the PROC MIXED in SAS?
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Apologies if this question has already been answered elsewhere. I searched for existing issues but couldn't find anything relevant.
## The situation :clipboard:
(This is a specific example of …
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The basic models have established cov_params and related standard errors and inference. For these the usual limitations apply.
There are some additional models or approaches that do not have establ…
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Hello all,
I am currently working on solving question 6 of Lab 2: "The covariance of class size and test scores is -418, and the variance of class size is 99. Can you calculate the slope of class s…
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Although [Gaussian kernel (RBF Kernel) is positive definite](https://en.wikipedia.org/wiki/Positive-definite_kernel), I think [Gaussian Process](https://github.com/google/edward2/blob/master/edward2/t…
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```
With the -AinvariantArrays command-line option, the Checker Framework soundly
enforces invariant subtyping for arrays: given two different annotations @A
and @B, then @A String [] is never a su…
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We can estimate the variance based on the difference between observations y_i - y_j if they have the same mean, or we can remove the effect of a changing mean.
examples:
- robust variance estim…