User jaradniemi

33 votes

Accepted

Think like a bayesian, check like a frequentist: What does that mean?

answered Aug 16, 2016 at 16:00

19 votes

What are the definitions of semi-conjugate and conditional conjugate priors?

answered Mar 22, 2014 at 2:07

18 votes

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What is the problem with empirical priors?

answered Jun 14, 2015 at 17:03

17 votes

What's in a name: hyperparameters

answered Apr 19, 2016 at 17:51

14 votes

Calculating SD for normal distribution with only mean and 5% and 95% quantile values

answered Jun 22, 2015 at 14:11

14 votes

Use of Bayesian hierarchical model

answered Nov 11, 2016 at 15:40

13 votes

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How to specify a Bayesian binomial model with shrinkage to the population?

answered May 5, 2014 at 21:31

12 votes

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Downsides of inverse Wishart prior in hierarchical models

answered Feb 26, 2016 at 15:11

10 votes

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Classical vs Bayesian logistic regression assumptions

answered Nov 17, 2015 at 20:33

9 votes

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Am I understanding differences between Bayesian and frequentist inference correctly?

answered Sep 18, 2015 at 13:58

9 votes

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Methods for testing a Bayesian method's software implementation

answered May 6, 2014 at 13:23

9 votes

Filtering vs Smoothing in Bayesian Estimation

answered Nov 2, 2016 at 16:57

8 votes

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What is the meaning of the notation $\theta \sim p(\theta)$ and $y \sim p(y|\theta)$?

answered Oct 21, 2017 at 16:53

8 votes

Posterior very different to prior and likelihood

answered Feb 17, 2014 at 22:58

8 votes

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Evaluate posterior predictive distribution in Bayesian linear regression

answered Apr 11, 2015 at 12:48

6 votes

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How to apply Bayes' theorem to the search for a fisherman lost at sea

answered Oct 14, 2014 at 19:34

6 votes

What is the difference between logistic regression and bayesian logistic regression?

answered Jul 13, 2015 at 13:21

6 votes

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Number of Markov chain Monte Carlo Samples

answered Mar 23, 2016 at 18:22

6 votes

Is the posterior distribution $P(\theta|\mathbf{X})$ a statistic?

answered Dec 5, 2017 at 23:18

6 votes

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Why is the marginal likelihood difficult/intractable to estimate?

answered Nov 16, 2016 at 15:52

6 votes

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Estimating $\mathbb{P}(Y>X)$ from samples of $X$ and $Y$ using bootstraps

answered Mar 17, 2017 at 12:50

5 votes

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Different notation for Bayes' prior and posterior distributions

answered Feb 17, 2017 at 14:38

5 votes

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Marginal likelihood derivation for normal likelihood and prior

answered Oct 19, 2017 at 19:15

5 votes

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Efficiently sampling from mixture distribution posterior

answered Nov 23, 2015 at 14:30

5 votes

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.999 signifiance query

answered May 5, 2014 at 21:43

5 votes

Bayesian Risk and Subjectivity

answered Apr 20, 2015 at 17:18

5 votes

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Marginal likelihood vs. prior predictive probability

answered Apr 21, 2015 at 15:46

4 votes

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One-Step ahead predictive likelihood for time series forecasting

answered Feb 22, 2015 at 16:11

4 votes

Bayesian approach to testing an unfair die

answered May 5, 2014 at 21:37

4 votes

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What makes parallel/distributed probabilistic inference difficult to implement?

answered Mar 29, 2016 at 14:46

Stack Exchange Network

99 Answers

Think like a bayesian, check like a frequentist: What does that mean?

What are the definitions of semi-conjugate and conditional conjugate priors?

What is the problem with empirical priors?

What's in a name: hyperparameters

Calculating SD for normal distribution with only mean and 5% and 95% quantile values

Use of Bayesian hierarchical model

How to specify a Bayesian binomial model with shrinkage to the population?

Downsides of inverse Wishart prior in hierarchical models

Classical vs Bayesian logistic regression assumptions

Am I understanding differences between Bayesian and frequentist inference correctly?

Methods for testing a Bayesian method's software implementation

Filtering vs Smoothing in Bayesian Estimation

What is the meaning of the notation $\theta \sim p(\theta)$ and $y \sim p(y|\theta)$?

Posterior very different to prior and likelihood

Evaluate posterior predictive distribution in Bayesian linear regression

How to apply Bayes' theorem to the search for a fisherman lost at sea

What is the difference between logistic regression and bayesian logistic regression?

Number of Markov chain Monte Carlo Samples

Is the posterior distribution $P(\theta|\mathbf{X})$ a statistic?

Why is the marginal likelihood difficult/intractable to estimate?

Estimating $\mathbb{P}(Y>X)$ from samples of $X$ and $Y$ using bootstraps

Different notation for Bayes' prior and posterior distributions

Marginal likelihood derivation for normal likelihood and prior

Efficiently sampling from mixture distribution posterior

.999 signifiance query

Bayesian Risk and Subjectivity

Marginal likelihood vs. prior predictive probability

One-Step ahead predictive likelihood for time series forecasting

Bayesian approach to testing an unfair die

What makes parallel/distributed probabilistic inference difficult to implement?