The phrase "and methods for summarizing" is correct and usable in written English.
It can be used when discussing techniques or approaches for condensing information or data into a more concise form.
Example: "The research paper outlines various strategies and methods for summarizing complex data sets effectively."
Alternatives: "and techniques for summarizing" or "and approaches to summarizing".
If aggregation of results is desired, the best solution might lie in combining aspects from both mathematical and discussion-based methods for summarizing and aggregating quantitative results [ 58].
Their work on small devices focused on novel methods for summarizing and transforming Web pages, and browsing images on small displays.
Quantitative methods for summarizing and visualizing information archived in IOTs are indispensable, since understanding the industrial structure of an economy is one of the central issues in economics.
As well as providing compatibility with common input formats and downstream analyses, the BayesPeak package adds additional methods for summarizing data, tools for handling overfitting and support for parallel processing.
PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.
Methods for summarizing evidence have advanced, are increasingly standardized, and the infrastructure (e.g., journals, societies, organized teams of experts, etc).
In particular, it permits Bayesian model selection, or to gain some insights on how well an estimate generalizes to new data, and therefore qualifies perfectly for the purpose of comparing different downstream methods for summarizing the posterior samples.
Our aim was to improve meta-analysis methods for summarizing a prediction model's performance when individual participant data are available from multiple studies for external validation.
Consensus methods are an oft-used alternative to frequent or agreement subtree methods, for summarizing the common information in collections of phylogenetic trees.
This absence has been due in part to a lack of validated statistical methods for summarizing risk attributable to large numbers of individually rare missense substitutions.
