Skip to main content
Him's user avatar
Him's user avatar
Him's user avatar
Him
  • Member for 7 years, 4 months
  • Last seen more than a week ago
66 votes
Accepted

How seriously should I think about the different philosophies of statistics?

19 votes
Accepted

Not getting 95% coverage for 95% t-distribution CI

6 votes

Why does machine learning have metrics such as accuracy, precision or recall to prove best models, but statistics uses hypothesis tests?

6 votes
Accepted

Does Student's T require normally-distributed data?

5 votes

Maximum number of classes for RandomForest multiclass estimation

5 votes

Philosophical question on logistic regression: why isn't the optimal threshold value trained?

5 votes

When fitting a linear regression model, is it always recommended to plot the residuals?

5 votes

Data vs. Information. What’s the difference between these two terms?

4 votes
Accepted

How did they simplify normal equations for OLS in linear regression?

4 votes

What does it means when MSE almost equal with labels' variance?

3 votes

How to select kernel for Gaussian Process?

3 votes

t-test for a non-normal population

3 votes

Absence of evidence is not evidence of absence: What does Bayesian probability have to say about it?

3 votes

What is randomness?

2 votes

Best term for made-up data?

1 vote

hyperspherical nature of K means (and other squared error clustering method)

1 vote
Accepted

What is the minimal feature space dimension for an input to be linearly saparable?

1 vote

Interpreting a classification tree

1 vote

Yet another "Bayesian vs Maximum Likelihood" question

1 vote

Estimate a proportion using priority sampling (I just made that up)

1 vote

What is the difference between Local Linear Regression (LLR) and Locally Estimated Scatterplot Smoothing (LOESS)?

0 votes

Hypothesis not rejected, what does that mean for expected value?

0 votes

Vector Interpolation in Higher Dimensions

0 votes
Accepted

Formal methods for identifying characteristics of a Cluster

0 votes

Can I train a multi-class linear classifier to output uniform scores for out-of-domain input?

0 votes

Whether can we infer that $X_1$ and $X_2$ are independent if we know they are conditional independence given $D$ and $\overline{D}$?