User Durden

12 votes

Why is everything based on likelihoods even though likelihoods are so small?

answered Feb 18, 2024 at 5:24

11 votes

Accepted

The constant term after 1st differencing

answered Mar 22, 2015 at 5:30

11 votes

Formula for 95% confidence interval for $R^2$

answered Jul 30, 2017 at 13:50

8 votes

Graphs in regression discontinuity design in "Stata" or "R"

answered Aug 7, 2015 at 8:34

8 votes

Why we always put log() before the joint pdf when we use MLE(Maximum likelihood Estimation)?

answered Mar 10, 2019 at 19:30

8 votes

History of uninformative prior theory

answered Dec 27, 2023 at 23:10

7 votes

Accepted

Can you use MLE to estimate a model with correlated errors?

answered Mar 10, 2019 at 20:16

7 votes

Why, exactly, is a unit root a problem?

answered Mar 3, 2023 at 18:15

6 votes

Looking for book recommendations for numerical optimization

answered Jul 28, 2020 at 16:09

6 votes

How to interpret coefficients from a polynomial model fit?

answered May 4, 2017 at 17:03

6 votes

Are “Data are fixed” in Bayesian viewpoint and “Data are random” in frequentist viewpoint talking about the same thing mathematically?

answered Apr 7, 2024 at 15:45

6 votes

When a credible interval coincides with a confidence interval, can one interpret confidence interval as credible interval and vice versa?

answered May 6, 2024 at 16:25

5 votes

Accepted

Deriving a conditional joint probability model for the data in a Bayesian linear model

answered May 24, 2024 at 21:16

5 votes

Do we believe in existence of true prior distribution in Bayesian Statistics?

answered Mar 24, 2024 at 21:41

5 votes

Proof that posterior does not depend on data breakdown

answered Jan 14, 2024 at 1:37

5 votes

Simple example where Bayesian > Frequentist (Unambiguously)?

answered Aug 3, 2023 at 18:01

5 votes

Probability of winning a game: frequentist vs Bayesian approach

answered Sep 26, 2023 at 4:31

5 votes

Robust standard errors in econometrics

answered Mar 21, 2015 at 20:58

4 votes

Intuition About Gradient Descent Convergence

answered Mar 16, 2021 at 20:45

4 votes

Bayesian and frequentist connections regarding the central limit theorem

answered Sep 26, 2023 at 16:32

4 votes

How are bayesian instrumental variables calculated?

answered Jun 27, 2023 at 22:56

4 votes

How would a Bayesian define a fair coin?

answered Oct 7, 2023 at 18:02

4 votes

When is it important for a practitioner to understand CIs?

answered Apr 16, 2024 at 15:14

4 votes

Accepted

How do we get rid of $p(x|\theta)$ in MLE

answered Apr 12, 2024 at 5:03

4 votes

Accepted

What is a good introduction to errors-in-variables models?

answered Jul 22, 2024 at 4:35

3 votes

Can we report a credibility or confidence interval for a quantity measured only once, but whose distribution is obtained by Bayesian methods?

answered Feb 15, 2024 at 18:13

3 votes

What model to use? Heckman-Two-Stage? Tobit? OLS?

answered Aug 18, 2020 at 22:14

3 votes

Comparing Heckman and OLS results

answered Aug 12, 2020 at 22:09

2 votes

Instrument exogeneity assumption (IV)

answered Aug 14, 2020 at 17:30

2 votes

Assumptions to be checked under Tobit model

answered Jul 29, 2020 at 16:20

Stack Exchange Network

55 Answers

Why is everything based on likelihoods even though likelihoods are so small?

The constant term after 1st differencing

Formula for 95% confidence interval for $R^2$

Graphs in regression discontinuity design in "Stata" or "R"

Why we always put log() before the joint pdf when we use MLE(Maximum likelihood Estimation)?

History of uninformative prior theory

Can you use MLE to estimate a model with correlated errors?

Why, exactly, is a unit root a problem?

Looking for book recommendations for numerical optimization

How to interpret coefficients from a polynomial model fit?

Are “Data are fixed” in Bayesian viewpoint and “Data are random” in frequentist viewpoint talking about the same thing mathematically?

When a credible interval coincides with a confidence interval, can one interpret confidence interval as credible interval and vice versa?

Deriving a conditional joint probability model for the data in a Bayesian linear model

Do we believe in existence of true prior distribution in Bayesian Statistics?

Proof that posterior does not depend on data breakdown

Simple example where Bayesian > Frequentist (Unambiguously)?

Probability of winning a game: frequentist vs Bayesian approach

Robust standard errors in econometrics

Intuition About Gradient Descent Convergence

Bayesian and frequentist connections regarding the central limit theorem

How are bayesian instrumental variables calculated?

How would a Bayesian define a fair coin?

When is it important for a practitioner to understand CIs?

How do we get rid of $p(x|\theta)$ in MLE

What is a good introduction to errors-in-variables models?

Can we report a credibility or confidence interval for a quantity measured only once, but whose distribution is obtained by Bayesian methods?

What model to use? Heckman-Two-Stage? Tobit? OLS?

Comparing Heckman and OLS results

Instrument exogeneity assumption (IV)

Assumptions to be checked under Tobit model