We have previously discussed the importance of estimating uncertainty in our measurements and incorporating it into data analysis 1. To know the extent to which we can generalize our observations, we ...

Describe the abstract idea of a sampling distribution and how it reflects the sample to sample variability of a sample statistic or point estimate. Identify the ...

How data varies from typical value. Quantile: Figure out the values of the 0th, 25th, 50th, 75th, and top percentile using the quantile function. five_num = [dataset["subset"].quantile(0), ...

According to a recent poll by Gallup.com, 59% of Americans believe that the amount they pay in income taxes is fair. The survey was based on a sample 1017 American adults. If the pollsters talked to ...

It is believed that new types of computing machines will be constructed to exploit quantum mechanics for an exponential speed advantage in solving certain problems compared with classical computers 9.

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Abstract: Exploration is a fundamental problem in robotics. While sampling-based planners have shown high performance and robustness, they are oftentimes compute intensive and can exhibit high ...