Top new questions this week:
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I fitted a linear mixed model in R and tried to compute marginal means using emmeans, ggemmeans (from ggeffects), and ggpredict (also from ggeffects). The predicted means are similar, but the ...
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I’m modeling mortality using a multivariate logistic regression model with a nonlinear effect of X1 and I’m examining whether this relationship changes across ...
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I am comparing the means of two groups using an independent two-sample t-test in R. Initially, I had the following samples:
Group A: n = 15, mean = 52.3, sd = 4.8
Group B: n = 15, mean = 48.1, sd = 5....
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Given a sample $X_1,\ldots X_n$, how can I test the hypothesis that these are i.i.d. samples from a fixed (unknown) distribution?
To add context, assume this is a time series and I want evidence ...
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I am trying to prove the following statement and I am looking for some guidance or a hint.
Let $X = \mathbb{R}^n$ and let $f: X \to X$ be an affine transformation defined by $f(x) = Ax + b$. We know ...
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I’m building a Python forecasting pipeline that tries several models:
Holt‑Winters (tuned with Optuna)
ARIMA (via pmdarima.auto_arima)
XGBoost (tuned with Optuna)
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How do I calculate confidence intervals for a spline function after changing the reference?
I would like to plot the spline with reference at age=52 along with the confidence limits.
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Greatest hits from previous weeks:
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In particular, I am referring to the Pearson product-moment correlation coefficient.
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There are some variations on how to normalize the images but most seem to use these two methods:
Subtract the mean per channel calculated over all images (e.g. VGG_ILSVRC_16_layers)
Subtract by pixel/...
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Here is how I have understood nested vs. crossed random effects:
Nested random effects occur when a lower level factor appears only within a particular level of an upper level factor.
For example,...
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I am wondering how to choose a predictive model after doing K-fold cross-validation.
This may be awkwardly phrased, so let me explain in more detail: whenever I run K-fold cross-validation, I use K ...
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What's the difference between probability and statistics, and why are they studied together?
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What are common cost functions used in evaluating the performance of neural networks?
Details
(feel free to skip the rest of this question, my intent here is simply to provide clarification on ...
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How should one understand the keys, queries, and values that are often mentioned in attention mechanisms?
I've tried searching online, but all the resources I find only speak of them as if the reader ...
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Can you answer these questions?
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I've encountered the term "accuracy" used differently across several evaluation contexts, and I want to clearly understand their mathematical and conceptual distinctions using consistent ...
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Consider the following model: $$y_t = c_0 + \phi y_{t-1} + \beta x_{t} + u_t,$$
where $u_t$ follows an MA(1) process: $u_t = \varepsilon_t + \theta\varepsilon_{t-1},$ where $\varepsilon_t$ is white ...
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I am trying to perform a correspondence analysis on a dataset of anatomical measurements of ecologically relevant features. Most of these variables are ordered factor variables representing binning of ...
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