# All Questions

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### Can an estimator be found for a function?

I have to find an estimator for the sum of the spatial distance between image pixels. Available is the data in $R^M$ space consisting of the Euclidean distances, $d^M(\mathbf{z_i})$= ...
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### Recurrent Neural Network (LSTM) Questions

I am coding an RNN-LSTM module, and I have the following questions: 1) In non-linear input like one-hot-encoded words, you use an extra sign (like <eol>) at ...
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### PCA/factor analysis of mixed (quantitative + qualitative) data: inconsistent results

I have a dataset composed of 4 variables, 2 being numerical and 2 categorical (ordinal in fact). They all represent 4 types of indicators/measures of the same phenomenon . I want to analyse them in a ...
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### What's the relationship between the generalized squared multiple correlation and SEM explained variance?

I am testing this model. The value of .23 above the timedrs is the squared multiple correlation for that variable. I also ran the same analysis as two multi-step regressions. The results came out ...
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### When interpreting interactions in a factorial ANOVA, is it necessary to look at the residual cell means?

In their 1989 paper "Definition and Interpretation of Interaction Effects", Rosnow & Rosenthal write: When interaction is claimed in a factorial arrangement, the results almost always ...
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### Combination of two SVM Kernels

According to the book "Support Vector Machines" from Cristianini and Shawe-Taylor, it is feasible to make kernels from kernels. My question is now more in application of this methods with tools like ...
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### Determining the effect of number of likes

Let's say I have marketing data and I need to determine how effective the marketing is. The marketing strategy is to publish facebook posts at inconsistent intervals. The goal is to see how the ...
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### Using simulated data to check when patterns in GLMM residual plots are acceptable

I have run the following Poisson GLMM: ...
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### Data augmentation techniques for general datasets?

In many machine learning applications, the so called data augmentation methods have allowed building better models. For example, assume a training set of $100$ images of cats and dogs. By rotating, ...