Skip to main content
user6703592's user avatar
user6703592's user avatar
user6703592's user avatar
user6703592
  • Member for 4 years, 11 months
  • Last seen more than a month ago
2 votes
1 answer
252 views

the approximation of the variance of MLE (Cramer-Rai Lower Bound)

1 vote
1 answer
384 views

Interview question: communication by breaking windows

4 votes
0 answers
25 views

MCMC predict volatility with GARCH

3 votes
1 answer
2k views

How can RNNs handle inputs of dynamic length?

2 votes
1 answer
122 views

relation between R-squared and sample size

2 votes
1 answer
42 views

Machine learning interview of incorrect claissification

1 vote
1 answer
49 views

R-Squared for real valued label under non linear regression learner

0 votes
0 answers
46 views

why sklearn SelectFromModel estimator_.coef_ return a 2d-array

1 vote
1 answer
809 views

estimate the parameters of t-distribution and fitting with MLE [duplicate]

1 vote
0 answers
55 views

improve the project of binary classification with categorical features

5 votes
1 answer
708 views

heavier tails means that it is less sensitive to outlying data for logistic and probit

0 votes
0 answers
508 views

interview question: ridge regression the out-of-sample performance never change when tune the hyperparameter?

0 votes
0 answers
71 views

contradiction between PCA and Multicollinearity

2 votes
1 answer
312 views

If a feature has already split, will it hardly be selected to split again in the subsequent tree in a Gradient Boosting Tree

1 vote
0 answers
22 views

An intuitive explanation of Reweighted Least Squares for logistic regression [duplicate]

1 vote
0 answers
123 views

which classification loss function is relatively not sensitive to the imbalanced sample

1 vote
1 answer
306 views

L2 regularization: large value of coefficient <=> large variance <=> overfitting

3 votes
1 answer
195 views

interview questIon: what's the bias of y = $a(x+\epsilon) + b$ linear regression

0 votes
0 answers
439 views

How does coefficient change if we multiply a predictor by a constant in Lasso/Ridge regression

0 votes
0 answers
40 views

interview question of hypothesis test: how many tests are needed to say a biased coin [duplicate]

0 votes
0 answers
195 views

how to illustrate adding feature will increase the variance of first component in PCA geometrically

1 vote
1 answer
220 views

When modified LARS implements LASSO, what's the corresponding lambda

2 votes
0 answers
97 views

Compare the MSE between LASSO and OLS

0 votes
0 answers
146 views

Difference between decision tree and logistic regression for multi-class classification

0 votes
0 answers
84 views

How to explain the phenomenon that each coefficient is significant in multiple regression but not significant as simple regression [duplicate]

1 vote
0 answers
78 views

What's the analytical solution of linear regression under L1loss

2 votes
1 answer
379 views

How to understand the scaling in Metropolis Hastings MCMC

1 vote
1 answer
102 views

Will we use ridge in linear regression if there is no multicolinearity

2 votes
1 answer
95 views

Numerically PCA implements SVD or SVD implements PCA

2 votes
2 answers
342 views

How to detect and remove the duplicate samples