User Dave Harris

33 votes

Accepted

Is it true that Bayesian methods don't overfit?

answered Mar 3, 2017 at 22:54

23 votes

Accepted

The magic money tree problem

answered Apr 6, 2019 at 23:12

20 votes

Accepted

Difference between a Student-T vs Cauchy distribution

answered Feb 12, 2018 at 2:24

10 votes

Averaging Bayesian posteriors

answered Dec 6, 2018 at 17:22

9 votes

Why log-transform to normal distribution for decision trees?

answered Jan 2, 2019 at 6:25

8 votes

Looking for a good and complete probability and statistics book

answered Dec 5, 2016 at 22:12

8 votes

Accepted

Bayesian lighthouse location estimation

answered Jan 6, 2017 at 20:49

8 votes

What is the Wine/Water Paradox in Bayesian statistics, and what is its resolution?

answered Mar 19, 2021 at 4:25

8 votes

How to answer critiques about the inapplicability of the framework of frequentist statistics to the real world?

answered Apr 4, 2021 at 19:07

8 votes

At the end of the day, what do you do with Bayesian Estimates?

answered Oct 12, 2021 at 2:41

7 votes

Is Meta Analysis the Future of Bayesian Statistics?

answered Nov 14, 2021 at 5:34

7 votes

Error bars on error bars?

answered Jun 12, 2022 at 21:49

7 votes

Avoiding social discrimination in model building

answered Jan 14, 2019 at 19:05

7 votes

Does variance only work on normally distributed data (as a measure of dispersion)?

answered Dec 2, 2016 at 7:50

7 votes

How to interpret Bayesian (posterior predictive) p-value of 0.5?

answered Aug 17, 2018 at 4:36

7 votes

How does Bayesian analysis make accurate predictions using subjectively chosen probabilities?

answered Nov 14, 2017 at 3:38

6 votes

Unsolvable Integral?

answered Jun 30, 2017 at 14:54

6 votes

Accepted

Under what circumstance does $P(X|H) = P(H|X)$?

answered Dec 15, 2017 at 18:49

6 votes

How to deal when you have too many outliers?

answered Mar 20, 2018 at 19:57

6 votes

Accepted

Regression with Lots of Categorical Variables

answered Jan 9, 2019 at 5:47

6 votes

What is Bayesian posterior probability and how is it different to just using a p-value?

answered Apr 25, 2018 at 3:04

6 votes

How to estimate a confidence interval when a data point has a "divided by zero" error?

answered Jan 19, 2017 at 23:33

6 votes

Using p-value to compute the probability of hypothesis being true; what else is needed?

answered Apr 24, 2017 at 19:50

6 votes

If we fail to reject the null hypothesis in a large study, isn't it evidence for the null?

answered Apr 25, 2017 at 5:35

6 votes

How much does Mathematical Logic relate to Statistics?

answered Aug 29, 2020 at 0:37

5 votes

Accepted

Jeffreys Prior vs. Empirical Bayesian analysis

answered Dec 14, 2019 at 22:49

5 votes

Are confidence intervals useful?

answered Jan 31, 2019 at 17:36

5 votes

How to apply Bayesian learning to paired data

answered Sep 3, 2019 at 20:18

5 votes

Accepted

Bayes formula alternate expression using alpha

answered Sep 11, 2019 at 17:06

5 votes

Is it possible for a distribution to have known variance but unknown mean?

answered May 25, 2021 at 4:18

Stack Exchange Network

273 Answers

Is it true that Bayesian methods don't overfit?

The magic money tree problem

Difference between a Student-T vs Cauchy distribution

Averaging Bayesian posteriors

Why log-transform to normal distribution for decision trees?

Looking for a good and complete probability and statistics book

Bayesian lighthouse location estimation

What is the Wine/Water Paradox in Bayesian statistics, and what is its resolution?

How to answer critiques about the inapplicability of the framework of frequentist statistics to the real world?

At the end of the day, what do you do with Bayesian Estimates?

Is Meta Analysis the Future of Bayesian Statistics?

Error bars on error bars?

Avoiding social discrimination in model building

Does variance only work on normally distributed data (as a measure of dispersion)?

How to interpret Bayesian (posterior predictive) p-value of 0.5?

How does Bayesian analysis make accurate predictions using subjectively chosen probabilities?

Unsolvable Integral?

Under what circumstance does $P(X|H) = P(H|X)$?

How to deal when you have too many outliers?

Regression with Lots of Categorical Variables

What is Bayesian posterior probability and how is it different to just using a p-value?

How to estimate a confidence interval when a data point has a "divided by zero" error?

Using p-value to compute the probability of hypothesis being true; what else is needed?

If we fail to reject the null hypothesis in a large study, isn't it evidence for the null?

How much does Mathematical Logic relate to Statistics?

Jeffreys Prior vs. Empirical Bayesian analysis

Are confidence intervals useful?

How to apply Bayesian learning to paired data

Bayes formula alternate expression using alpha

Is it possible for a distribution to have known variance but unknown mean?