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10 votes

1 answer

275 views

Easier way to find $\mathbb{E}\left[X_{(2)}| X_{(1)}, X_{(3)}\right]$?

asked Aug 18, 2016 at 15:35

10 votes

1 answer

487 views

Asymptotic distribution of censored samples from $\exp(\lambda)$

asked Aug 28, 2016 at 18:31

7 votes

2 answers

248 views

Confused by a simple setting in Bayesian inference

asked Aug 23, 2016 at 9:51

5 votes

1 answer

452 views

Asymptotic distribution of the average of $p$ sample-percentile

asked Aug 25, 2016 at 10:17

5 votes

1 answer

256 views

Bias variance tradeoff when the estimated target function is also random

asked Nov 3, 2018 at 22:01

5 votes

1 answer

444 views

In a linear regression, trying to show $R^2 = r_{xy}^2$ using projections / geometric intuition

asked Mar 12, 2020 at 19:15

4 votes

1 answer

498 views

Basic question on the definition of the Fisher information

asked Mar 5, 2016 at 19:51

3 votes

1 answer

268 views

Asymptotic distribution of statistics with proportions

asked Aug 16, 2016 at 16:04

3 votes

1 answer

10k views

Sufficient statistic for bivariate or multivariate normal

asked Aug 25, 2016 at 16:15

3 votes

0 answers

271 views

Looking for references - ReLU neural networks vs Fitting continuous piecewise linear function

asked Jan 14, 2018 at 21:50

2 votes

0 answers

204 views

Given $\{\vec{x}_i\} $ i.i.d $N(\vec{\mu}, \Sigma)$ find confidence ellipse for $\mu$ (unknown $\Sigma$)

asked Dec 15, 2016 at 0:32

2 votes

1 answer

187 views

Neural networks, general inquiry - how mini-batching fits into the big picture?

asked Jan 31, 2017 at 0:16

2 votes

1 answer

107 views

Bayesian inference - posterior in a simple model

asked Aug 27, 2016 at 12:37

1 vote

0 answers

362 views

Inequality constrained optimization, what is the intuition?

asked Sep 1, 2016 at 9:00

0 votes

0 answers

51 views

Simple method to estimate $\sigma^2$ from i.i.d. samples of $y_i \sim N(\theta_i, \sigma^2)$

asked Nov 9, 2016 at 22:55

0 votes

0 answers

306 views

How the De Finetti's Representation Theorem works in this case?

asked Aug 29, 2016 at 19:11

0 votes

0 answers

265 views

Multiple linear regression as a Hierarchical model in Bayesian framework, cant solve

asked Aug 23, 2016 at 16:12

Stack Exchange Network

17 Questions

Easier way to find $\mathbb{E}\left[X_{(2)}| X_{(1)}, X_{(3)}\right]$?

Asymptotic distribution of censored samples from $\exp(\lambda)$

Confused by a simple setting in Bayesian inference

Asymptotic distribution of the average of $p$ sample-percentile

Bias variance tradeoff when the estimated target function is also random

In a linear regression, trying to show $R^2 = r_{xy}^2$ using projections / geometric intuition

Basic question on the definition of the Fisher information

Asymptotic distribution of statistics with proportions

Sufficient statistic for bivariate or multivariate normal

Looking for references - ReLU neural networks vs Fitting continuous piecewise linear function

Given $\{\vec{x}_i\} $ i.i.d $N(\vec{\mu}, \Sigma)$ find confidence ellipse for $\mu$ (unknown $\Sigma$)

Neural networks, general inquiry - how mini-batching fits into the big picture?

Bayesian inference - posterior in a simple model

Inequality constrained optimization, what is the intuition?

Simple method to estimate $\sigma^2$ from i.i.d. samples of $y_i \sim N(\theta_i, \sigma^2)$

How the De Finetti's Representation Theorem works in this case?

Multiple linear regression as a Hierarchical model in Bayesian framework, cant solve