User Davi Américo

8 votes

2 answers

1k views

Maximum value on a set of die rolls --- how to prove that this is a Markov chain?

asked Oct 3, 2021 at 22:34

5 votes

3 answers

177 views

What does $X=x|Y=y$ actually mean by itself?

asked Oct 3, 2021 at 8:44

5 votes

0 answers

88 views

Is feature importance in sklearn the same as proposed by Breiman 1984?

asked Jul 11, 2021 at 4:01

4 votes

2 answers

2k views

Does classic outlier detection assume normality?

asked Dec 3, 2021 at 4:35

3 votes

1 answer

170 views

How to get the variance of $\sum_{i=1}^{N}x_i$ if $N$ and $x_i$ are random variable?

asked Oct 25, 2021 at 0:30

3 votes

2 answers

147 views

What does the "mass" of a box plot mean?

asked Jul 7, 2021 at 20:47

3 votes

1 answer

79 views

How to get weighted median where $w_i$ is real?

asked May 22, 2021 at 22:25

2 votes

1 answer

165 views

Does Wikipedia explain gradient boosting in wrong way?

asked Apr 11, 2021 at 22:13

2 votes

0 answers

78 views

Is Gradient Boosting a particular algorithm of Any Boost?

asked Jun 4, 2021 at 20:36

2 votes

1 answer

251 views

Minimizing Huber Loss

asked Jun 6, 2021 at 3:07

2 votes

1 answer

82 views

Convergece of Steepest Descent

asked May 7, 2021 at 22:30

2 votes

1 answer

57 views

Will quadratic-based estimation (not necessarily MSE) always generate a symmetric residuals after training it?

asked Sep 17, 2021 at 23:33

2 votes

1 answer

111 views

Will MSE-based estimator generate symmetric residuals if the error has got symmetric support (not distribution)?

asked Sep 18, 2021 at 4:56

2 votes

1 answer

88 views

How can a future observation being predicted even if under sample independency (posterior predictive distribution)?

asked Nov 18, 2021 at 22:28

2 votes

1 answer

621 views

Why is the probability of ever making a transition to state $j$ starting from $i$ equals to $\sum_{n=1}^{\infty}f_{ij}^n$?

asked Oct 11, 2021 at 22:14

2 votes

1 answer

38 views

Learning a confidence interval is there any idea to solve this problem?

asked Dec 8, 2021 at 0:23

2 votes

1 answer

32 views

Evaluating $P(X_{3}=j,X_{1}=i|X_{2}=k)$ on markov chain trouble

asked Nov 20, 2021 at 1:41

2 votes

3 answers

960 views

Is there a "beta distribution" over the entire real line?

asked Nov 29, 2021 at 0:04

2 votes

1 answer

60 views

When $Z=(\hat{\theta}-\theta)/\hat{sd}(\hat{\theta}) \rightarrow N(0,1)$ as $n \rightarrow \infty$?

asked Jan 11, 2022 at 5:02

1 vote

0 answers

25 views

Variance analysis on boosting approachs, Is there any guarantee that boosting will not worse the weak learner variance or even get it better?

asked Jan 12, 2022 at 0:41

1 vote

0 answers

87 views

How can I make a prediction interval for a future response (not its mean) in regression by using bootstrap?

asked Jan 14, 2022 at 2:27

1 vote

1 answer

246 views

Can I use fisher test on a $1 \times n$ table for comparing multiple proportions?

asked Dec 24, 2021 at 2:34

1 vote

1 answer

56 views

Expectance of predictive posterior on binomial-beta modeling

asked Nov 28, 2021 at 1:16

1 vote

0 answers

47 views

Likelihood and multinomial distribution notation trouble

asked Dec 3, 2021 at 23:05

1 vote

1 answer

27 views

Question regarding asymptotic assumptions and hypotesis testing paradox for large samples

asked Dec 6, 2021 at 22:51

1 vote

1 answer

87 views

Question regarding irreducibility, recurrency and aperiodicity of a finite Markov chain

asked Nov 19, 2021 at 23:06

1 vote

1 answer

108 views

Does probability independence have anything to do with functional independence (on general case)?

asked Oct 17, 2021 at 23:57

1 vote

2 answers

977 views

How could I get the factor scores in factor analysis for a new observartion in R?

asked Aug 31, 2021 at 3:37

1 vote

0 answers

31 views

Why does sampling features at each node decrease correlation between trees on a random forest?

asked Sep 6, 2021 at 23:30

1 vote

1 answer

234 views

If boosting reduce bias why does this work for decision trees as weak learners?

asked Jul 22, 2021 at 22:42

Stack Exchange Network

43 Questions

Maximum value on a set of die rolls --- how to prove that this is a Markov chain?

What does $X=x|Y=y$ actually mean by itself?

Is feature importance in sklearn the same as proposed by Breiman 1984?

Does classic outlier detection assume normality?

How to get the variance of $\sum_{i=1}^{N}x_i$ if $N$ and $x_i$ are random variable?

What does the "mass" of a box plot mean?

How to get weighted median where $w_i$ is real?

Does Wikipedia explain gradient boosting in wrong way?

Is Gradient Boosting a particular algorithm of Any Boost?

Minimizing Huber Loss

Convergece of Steepest Descent

Will quadratic-based estimation (not necessarily MSE) always generate a symmetric residuals after training it?

Will MSE-based estimator generate symmetric residuals if the error has got symmetric support (not distribution)?

How can a future observation being predicted even if under sample independency (posterior predictive distribution)?

Why is the probability of ever making a transition to state $j$ starting from $i$ equals to $\sum_{n=1}^{\infty}f_{ij}^n$?

Learning a confidence interval is there any idea to solve this problem?

Evaluating $P(X_{3}=j,X_{1}=i|X_{2}=k)$ on markov chain trouble

Is there a "beta distribution" over the entire real line?

When $Z=(\hat{\theta}-\theta)/\hat{sd}(\hat{\theta}) \rightarrow N(0,1)$ as $n \rightarrow \infty$?

Variance analysis on boosting approachs, Is there any guarantee that boosting will not worse the weak learner variance or even get it better?

How can I make a prediction interval for a future response (not its mean) in regression by using bootstrap?

Can I use fisher test on a $1 \times n$ table for comparing multiple proportions?

Expectance of predictive posterior on binomial-beta modeling

Likelihood and multinomial distribution notation trouble

Question regarding asymptotic assumptions and hypotesis testing paradox for large samples

Question regarding irreducibility, recurrency and aperiodicity of a finite Markov chain

Does probability independence have anything to do with functional independence (on general case)?

How could I get the factor scores in factor analysis for a new observartion in R?

Why does sampling features at each node decrease correlation between trees on a random forest?

If boosting reduce bias why does this work for decision trees as weak learners?