# Questions tagged [bootstrap]

The bootstrap is a resampling method to estimate the sampling distribution of a statistic.

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### Why is bootstrapping binomial models producing negative estimates?

I'm fitting a mixed effects model to binomial data using lme4, and I'd like to bootstrap individual coefficient values. When I do so using bootMer(), however, I'm ...
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### bootstrapping a linear mixed model with R's lmeresampler or lme4 or a robust regression?

considering that I have a very small sample and that my residuals are non-normally distributed, I've decided to perform a lmer() with bootstrapping. This is my very ...
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### Reporting results of random seeds and bootstrapping (stats)

I am trying to compare my model's (a neural network) results with human-scored results on the same type of data. However, there are no ground truth labels (humans disagree on classifying these results)...
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### Resampling a timeseries

I have a list of stock returns (say computed from the historical data) and would like to resample the historical return distribution. Naively doing bootstrapping means the samples are iid. I'm ...
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### Using the bootstrap estimates to compute the acceleration parameter for BCa bootstrap CI

I have noticed different software use different method of calculating the acceleration parameter, $a$, for computing the bias-corrected and accelerated (BCa) bootstrap confidence interval (CI). In ...
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### Suppose $X\sim Normal(\mu, \sigma)$ and that $y_i = f(x_i)$ where $Y\sim Bin(p)$. Is the confidence interval of $\bar{y}$ dependent on sigma?

I have a discussion at work on this topic and want to leverage the wisdom of the stats crowd :-) Suppose $X\sim Normal(\mu, \sigma)$ is observed and that $y_i = f(x_i)$ where $Y\sim Binomial(p)$. Note ...
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1 vote
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### Bootstrap Standard Error vs Standard Error from sample

For doing inference of a population parameter from a sample, under which examples is better to calculate the standard error using bootstrap distribution of the mean than directly using the standard ...
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