Statistical methods, as a technique, encompass a set of quantitative procedures for collecting, summarizing, modeling, and inferring properties of data under uncertainty. They include techniques for descriptive analysis (e.g., estimation of moments, correlation) and inferential analysis (e.g., hypothesis testing, confidence intervals, regression, and multilevel modeling), typically grounded in probability theory. Statistical methods formalize assumptions about data-generating processes, quantify sampling variability, control error rates, and support model comparison and prediction. They are implemented through parametric, nonparametric, and Bayesian frameworks, often relying on numerical optimization and simulation (e.g., MCMC, bootstrap) to obtain estimates and uncertainty measures in complex models.
A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a machine learning (ML) framework to analyze virus filtration processes in therapeutic ...
Cell & Microbiology
Jun 19, 2025
0
20
A five-dimensional (5D) Langevin approach developed by an international team of researchers, including members from Science Tokyo, accurately reproduces complex fission fragment distributions and kinetic energies in medium-mass ...
General Physics
Jun 18, 2025
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214
Researchers at the University of Oxford have pioneered a new approach to simulate turbulent systems, based on probabilities. The findings appear in the journal Science Advances.
Soft Matter
Jan 29, 2025
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96
Physicists at the Max Planck Institute for Dynamics and Self-Organization (MPI-DS) have investigated to which extent a piece of music can evoke expectations about its progression. They were able to determine differences in ...
General Physics
Nov 5, 2024
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219
Researchers from the University of Illinois Urbana-Champaign have recast diffusion in multicomponent alloys as a sum of individual contributions, called "kinosons." Using machine learning to compute the statistical distribution ...
Condensed Matter
May 15, 2024
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70
Physicists use theoretical models to study physical quantities, such as the mass of nuclei, where they do not have experimental data. However, using a single imperfect theoretical model can lead to misleading results. To ...
General Physics
Mar 11, 2024
0
84
