Top new questions this week:
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Is interpreting log-log regression with log(1+x) as independent variable the same as having log(x) as independent variable? 1% increase in x results in beta% change in y?
What is x has both negative ...
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Suppose we have a standard regression model and want to identify whether we have violated the assumptions of the model. Traditionally, we might utilize a significance test to determine whether (for ...
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I have two sample covariance matrices, computed from $n$ samples, less than $p$ variables: they are singular then.
I know that the sum of two covariance matrices is also a covariance matrix.
My ...
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Is there a known analytic solution for finding the minimum variance unbiased estimator of a disk of an unknown location given that a sample of $n$ points was drawn uniformly and randomly from the disk ...
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To use OLS for inference, is it necessary in all cases that the premise of homoscedasticity is met?
I need to check the influence of some features (eg age, income...) on a variable y (whether or not I ...
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Assuming I have proportions for clicks to impressions of 0.10 for p1 and 0.05 for p2. This is equivalent to 10% and 5% click through rate.
One way is to say that p1 is 5% higher but can we even say ...
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I would like to perform a joint subclassification of some data on the propensity and prognostic scores as described in this paper "On the joint use of propensity and prognostic scores in ...
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Greatest hits from previous weeks:
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I have two questions about confidence intervals:
Apparently a narrow confidence interval implies that there is a smaller chance of obtaining an observation within that interval, therefore, our ...
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Say I have some historical data e.g., past stock prices, airline ticket price fluctuations, past financial data of the company...
Now someone (or some formula) comes along and says "let's take/use ...
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There is an old saying: "Correlation does not mean causation". When I teach, I tend to use the following standard examples to illustrate this point:
number of storks and birth rate in Denmark;
number ...
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Need to understand the working of 'Embedding' layer in Keras library. I execute the following code in Python
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I get this question frequently enough in my statistics consulting work, that I thought I'd post it here. I have an answer, which is posted below, but I was keen to hear what others have to say.
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I'm sure many people will respond with links to 'let me google that for you', so I want to say that I've tried to figure this out so please forgive my lack of understanding here, but I cannot figure ...
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Searched high and low and have not been able to find out what AUC, as in related to prediction, stands for or means.
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Can you answer these questions?
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Suppose I have a panel data and would like to look at time fixed effects, i.e. effects constant across "state" but varying over time.
My understanding was always, that the estimated ...
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I am learning about performing stepwise model selection by AIC and I have 2 questions here:
1.Regarding to stepwise AIC, what is contribution (effectiveness) of the number of parameters in the model ...
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Say we have a dataset $D$ of 2-tuples $(x, y)$ where $y$ is the target variable and a function $f_\theta$:
$$
D = \{(1, 3), (2, 5), (3, 8), (4, 6), (5, 9)\},\quad f_\theta(x) = \theta_0 + \theta_1 x.
$...
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