User Davi Américo

1 vote

0 answers

86 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

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

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

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

0 votes

0 answers

159 views

What is the support of posterior distribution?

asked Dec 9, 2021 at 22:55

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

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

0 answers

47 views

Likelihood and multinomial distribution notation trouble

asked Dec 3, 2021 at 23:05

4 votes

2 answers

2k views

Does classic outlier detection assume normality?

asked Dec 3, 2021 at 4:35

0 votes

0 answers

37 views

If $\theta_1,...,\theta_k \sim D_k(a_1,...,a_k)$ so $\theta_i,\theta_j \sim D_2(a_i,a_j)$?

asked Dec 3, 2021 at 2:03

0 votes

2 answers

225 views

Is there an assumption-free ANOVA?

asked Dec 1, 2021 at 4:07

2 votes

3 answers

954 views

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

asked Nov 29, 2021 at 0:04

1 vote

1 answer

56 views

Expectance of predictive posterior on binomial-beta modeling

asked Nov 28, 2021 at 1:16

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

1 vote

1 answer

87 views

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

asked Nov 19, 2021 at 23:06

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

3 votes

1 answer

169 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

1 vote

1 answer

106 views

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

asked Oct 17, 2021 at 23:57

0 votes

0 answers

26 views

Are there any uninformative priors with an unlimited support like $(-\infty,\infty), (0,\infty), (-\infty,0)$? [duplicate]

asked Oct 14, 2021 at 22:05

2 votes

1 answer

619 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

0 votes

0 answers

26 views

How to get the support of the inverse BoxCox's distribution?

asked Oct 7, 2021 at 22:51

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

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

57 views

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

asked Sep 17, 2021 at 23:33

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

2 answers

972 views

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

asked Aug 31, 2021 at 3:37

0 votes

0 answers

56 views

What low bias has to do with "good fit"

asked Jul 28, 2021 at 22:08

1 vote

1 answer

231 views

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

asked Jul 22, 2021 at 22:42

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

Stack Exchange Network

43 Questions

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

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

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

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

What is the support of posterior distribution?

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

Question regarding asymptotic assumptions and hypotesis testing paradox for large samples

Likelihood and multinomial distribution notation trouble

Does classic outlier detection assume normality?

If $\theta_1,...,\theta_k \sim D_k(a_1,...,a_k)$ so $\theta_i,\theta_j \sim D_2(a_i,a_j)$?

Is there an assumption-free ANOVA?

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

Expectance of predictive posterior on binomial-beta modeling

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

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

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

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

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

Are there any uninformative priors with an unlimited support like $(-\infty,\infty), (0,\infty), (-\infty,0)$? [duplicate]

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

How to get the support of the inverse BoxCox's distribution?

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?

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

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

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

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

What low bias has to do with "good fit"

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

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