As per the official announcement, the online component of the Bootstrap Programme 2026 will be conducted from Vidyasagar Bhavan in April 2026. The registration process for interested students will ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
The bootstrap results are not reproducible, even though I set the random seed np.random.seed(17) at the beginning of the program. However, if I add np.random.seed(11) to this function, it works and is ...
Conflicting findings are often reported in microbiome association studies, which could be due to insufficient sample sizes and numerous confounders. A new study, utilizing two large-scale human ...
ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.
ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.
Switching from R to Go for bootstrap sampling on the given dataset and machine specifications resulted in an approximate 10x improvement in execution time. This significant performance gain ...
The complex nature of microbiome data has made the differential abundance analysis challenging. Microbiome abundance counts are often skewed to the right and heteroscedastic (also known as ...
Conducting a poll isn’t an exact science. The process is susceptible to lots of common problems and baked-in biases — more than just the “margin of error.” By ...
Abstract: The integration of distributed renewable energy and the implementation of the demand response complicate the change patterns of load profiles and present great uncertainties. Probabilistic ...
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