Abstract: Research in motion planning for mobile robots increasingly focuses on modeling human-like motions and behaviors. Applied to robots, these models help generating motions that are intuitively ...

Confidence intervals show the likelihood a data range contains the true mean, aiding investment decisions. A wider interval suggests lower estimate accuracy, influencing market and risk analysis ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. To illustrate, we consider a recent randomized study examining the impact of a nutritional intervention ...

Most EconML models offer a way to generate a confidence interval for the point estimates of causal impact. What I need is to calculate confidence intervals over subsets of points, eg split by the ...

The bias-corrected bootstrap confidence interval (BCBCI) was once the method of choice for conducting inference on the indirect effect in mediation analysis due to ...

Mathematics Department, Egerton University, Egerton, Kenya. Alternative methods for constructing confidence interval for p have been proposed, such as the Wilson Score, Clopper-Pearson and ...