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Questions tagged [credible-interval]

A credible interval is an interval in Bayesian statistics that includes the true value of a parameter with $100(1-\alpha)\%$ posterior probability. Credible intervals treat the interval as fixed and the parameter as random.

2 votes
0 answers
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I would like to evaluate how well two experimental designs perform with the goal of parameter estimation. I'm generating 1000 simulated datasets for each design and fitting the same model to all of ...
mkt's user avatar
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1 vote
0 answers
39 views

In Bayesian inference, when the model is well-specified, and the prior is reasonable with respect to the true parameter of the model, the posterior is guaranteed to be well-calibrated under fairly ...
jms's user avatar
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4 votes
1 answer
139 views

This answer describes two loss functions for Bayesian credible intervals, each of which is minimized by a particular kind of interval. I am curious whether there exists a loss function on credible ...
Adam L. Taylor's user avatar
17 votes
2 answers
976 views

Apologies for the clickbait title - it's a reference to the fact that I know it's legitimately triggering to try to bring the frequentist concept of a power analysis into Bayesland where it doesn't ...
Amorphia's user avatar
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1 vote
0 answers
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I am working with the BAPC package in R to performing cancer incidence rates and cases projections. This is a special wrapper over the ...
Todd Burus's user avatar
1 vote
1 answer
70 views

During training and evaluating network model on an aircombat environment by PPO rl algorithm, it was surprisingly found that, credible evaluation of trained model needs far more episodes than ...
zhixin's user avatar
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2 votes
0 answers
170 views

I understand that in the frequentist's interpretation of probability, it makes no sense to say that the parameter has 95% probability to fall into this particular interval (since the parameter is not ...
user473054's user avatar
1 vote
0 answers
49 views

I have a credible interval and mean from a previous study for a parameter and I’m wondering how to use that to inform the prior for my current study. My initial thought was to use a normal ...
brightlilac's user avatar
1 vote
0 answers
37 views

I have a foundational question when it comes to calculating Bayesian credible intervals from posterior samples. For simplicity let's say I have a vector of 10,000 posterior samples $\theta^* = (\theta^...
John Smith's user avatar
5 votes
2 answers
303 views

I constructed a generalized additive mixed effect model (GAMM) that converged, but has very large intervals for some terms and I'm not sure if it's an issue. Practically all diagnostic tools that I've ...
Nate's user avatar
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0 votes
0 answers
53 views

I am trying to understand the confidence level, Neymann constructions, sorting algorithms for confidence regions but I am struggling. Tell me if I understand correctly: The confidence level CL is the ...
User8's user avatar
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3 votes
1 answer
196 views

I am given a random variable $X$ over $\mathbb R$ with an unknown distribution. I want to determine the smallest sample size $n$ needed to obtain a high confidence upper bound $\hat Q_{1-\alpha}$ for ...
PedanticPete's user avatar
6 votes
3 answers
964 views

This is really a hypothetical question not related to an actual issue I have, so this question is just out of curiosity. I'm aware of this other related question What should I do when a confidence ...
Coris's user avatar
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1 vote
1 answer
67 views

I have a Bayesian model created through bayer package in R on which I need to calculate confidence/credible intervals for a ...
cccnrc's user avatar
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6 votes
2 answers
857 views

When a sampling distribution is symmetric (and I'm okay assuming unimodal too, if necessary), it's natural to center confidence intervals around the point estimate. But for a skewed distribution (e.g. ...
Quinn Culver's user avatar

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