Questions tagged [parameterization]
For questions about how to parameterize some statistical model, or comparisons between different ways to parameterize.
337 questions
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Varible/parameter/estimate notation when comparing paired estimates [closed]
Could you recommend me how variables/parameters/estimates are notated when comparing paired estimates.
For example, the situation is as follows. There are two scales, A and B, and I would like to know ...
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Does restricting weight space in Deep Learning models make training faster?
I want to know if the following problem has a name and also I'd like to get some papers to read on the subject.
Suppose I have a model to learn, say $A$ and this has a huge numbers of parameters to ...
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Parameterizing a Time Series with Daily Peaks
I'm looking to find a way to parameterize the shape of the power output of solar panels (MW over time). In particular, I'm looking to parameterize only the daily shapes over each hour of the power ...
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Two models for Identifying Average Treatment Effect (ATT)
to evaluate treatment effect under two period and $N$ individuals, there are two forms of models to derive ATT:
\begin{align}
Y_{it}&=\alpha_0+\beta D^1_i+\gamma T_{t}+\delta\left(D^1_i\times T_{t}...
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INLA model parametrization
I am new to using INLA models and wanted to know if I have violated an assumption. I am working on distance sampling of highly mobile species. Each point in my data represents the centre of a 4*4km ...
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Parameterized variance? (Of a single sample or distribution.)
Trying to get my head around how to calculate the Anderson-Darling test statistic. I came across this page: https://twosampletest.com/reference/ad_test.html
The AD test compares two ECDFs by looking ...
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How does glm.nb() in R parametrize the Negative Binomial distribution with $\mu$ and $\theta$?
I'm working with the glm.nb() function in R, which fits a Negative Binomial distribution using the parameters $\mu$ (mean) and $\theta$ (overdispersion parameter). The variance is given by:
$$
\text{...
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smoothing parameters
I am doing a cases study and I need to forecast the sales. I am using multi linear regression and also winter's method and the decomposition approach with Holt's method. I am using these methods as ...
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How to estimate the parameter of an equation (negative exponent), without having explicit x and y datapoints
I have ratios (or %changes) of x1 vs. x2 and y1 vs. y2, and so on. The initial x value matters, hence it is a non-linear function (negative exponential) in the form: y = c(1-e^(px))
That is, I need to ...
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TWO WAY ANOVA - Parameter Estimates Interpretation
Parameter estimates table produced in TWO WAY ANOVA:
When I'm interpreting my parameter estimates table I've been led to believe that the intercept is the overall grand mean of the data? Is this ...
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How do we calculate the derivative of the modified Bessel function of the third kind (with respect to its parameter) using R? [duplicate]
As the title says, I would like to know how do we calculate the derivative of the modified Bessel function of the third kind (with respect to its parameter) using R. As far as I know, there is no ...
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Why is the log additive model considered more accurate than other models in parameter estimation using the maxium likelihood
I am trying to get a better grasp of the theory of parameter estimation using different error models used in Phoenix NLME. The log additive model seems to perform better for my use case and I am ...
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Propagation of errors not being invariable
I noticed, that for a simple polynomial, a straight line or a parabola for example, the propagation of errors when finding the roots, is not translation-invariant.
For example, with a line:
$$f(x) = a ...
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How to re-mean a vector of probabilities, without having values beyond the [0, 1] bounds?
Imagine we have a vector of probabilities, $x$. Its mean is $\bar{x}$. Now, let's say there is an arbitrary value between 0 and 1 that we would like to re-mean the vector to. That's some given ...
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Note on standard errors reported by `flexsurv` package as compared to `survival` package
My original question (which is below) was about converting standard errors reported by flexsurv to the standard errors reported by ...
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