User phil

8 votes

1 answer

926 views

Multivariate normal distribution vs. sampling multiple times from univariate normal distribution

asked Apr 14, 2021 at 15:25

5 votes

1 answer

5k views

Difference between the expectation of x bar squared and the expectation of x squared

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5 votes

3 answers

87 views

Do you ever test the pre-asymptotic behaviour of a variable before performing a comparison of means t-test?

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3 votes

1 answer

389 views

What is an example of a loss function that is not minimized by the conditional expectation?

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3 votes

2 answers

190 views

Comparison of bayesian and frequentist methods example

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3 votes

0 answers

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How to determine sample size for number of pairwise comparisons for item ranking

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2 votes

1 answer

115 views

Derivation of expected loss ESL (integrating over conditional expectation confusion)

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2 votes

1 answer

933 views

Why is the expected value of variance different than the expected value of Maximum Likelihood variance?

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2 votes

1 answer

210 views

Finite population correction factor for A/B testing

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1 vote

0 answers

153 views

Why do we need statistical power? Why are p-values not enough?

asked Mar 3, 2022 at 11:04

1 vote

1 answer

176 views

How to power a strong superiority hypothesis in an A/B test

asked Mar 13, 2022 at 12:13

1 vote

1 answer

292 views

Why is "proving" alternative hypothesis true, harder than "proving" Null hypothesis false

asked Apr 2, 2022 at 9:18

1 vote

1 answer

220 views

Example of response variables that are/ are not statistically independent

asked Jun 18, 2021 at 13:52

1 vote

0 answers

41 views

Are prediction results of linear regression inaccurate if data is not IID? [closed]

asked Jun 18, 2021 at 15:17

1 vote

1 answer

189 views

SVM: Would we care about the functional margin if maximizing only with geometric margin were convex?

asked Nov 17, 2020 at 11:25

1 vote

1 answer

186 views

Difference between maximum likelihood estimate of variance and its expectation?

asked Jun 25, 2020 at 20:09

1 vote

2 answers

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How is zero conditional mean assumption "stronger" than uncorrelated assumption?

asked Jul 24, 2022 at 9:43

0 votes

0 answers

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A/B testing conversion rate when a user can have multiple conversions (no longer Bernoulli)

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0 votes

2 answers

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What is meaning of taking the partial derivative of the integral of the gaussian with respect to variance?

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0 votes

1 answer

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Conditional PDF given a random variable theory

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0 votes

1 answer

183 views

Is it ever useful to do a comparison of variance in an A/B test experiment?

asked Feb 21, 2022 at 9:49

Stack Exchange Network

21 Questions

Multivariate normal distribution vs. sampling multiple times from univariate normal distribution

Difference between the expectation of x bar squared and the expectation of x squared

Do you ever test the pre-asymptotic behaviour of a variable before performing a comparison of means t-test?

What is an example of a loss function that is not minimized by the conditional expectation?

Comparison of bayesian and frequentist methods example

How to determine sample size for number of pairwise comparisons for item ranking

Derivation of expected loss ESL (integrating over conditional expectation confusion)

Why is the expected value of variance different than the expected value of Maximum Likelihood variance?

Finite population correction factor for A/B testing

Why do we need statistical power? Why are p-values not enough?

How to power a strong superiority hypothesis in an A/B test

Why is "proving" alternative hypothesis true, harder than "proving" Null hypothesis false

Example of response variables that are/ are not statistically independent

Are prediction results of linear regression inaccurate if data is not IID? [closed]

SVM: Would we care about the functional margin if maximizing only with geometric margin were convex?

Difference between maximum likelihood estimate of variance and its expectation?

How is zero conditional mean assumption "stronger" than uncorrelated assumption?

A/B testing conversion rate when a user can have multiple conversions (no longer Bernoulli)

What is meaning of taking the partial derivative of the integral of the gaussian with respect to variance?

Conditional PDF given a random variable theory

Is it ever useful to do a comparison of variance in an A/B test experiment?