Results 191 to 200 of about 49,138 (261)

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin   +2 more
wiley   +1 more source

Exploring memory effects: Sparse identification in vector-borne diseases. [PDF]

open access: yesProc Natl Acad Sci U S A
Breda D, Tanveer M, Wu J, Zhang X.
europepmc   +1 more source

Asymptotic properties of cross‐classified sampling designs

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley   +1 more source

Partial identification with categorical data and nonignorable missing outcomes

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley   +1 more source

Nonlinear permuted Granger causality

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source

Women's Leadership as a Driver of Small and Medium‐Sized Enterprises Sustainability and Green Transition: A Bibliometric and Systematic Review

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study combines a bibliometric analysis and a systematic literature review (SLR) to provide a comprehensive understanding of women's leadership and entrepreneurship within small and medium‐sized enterprises (SMEs) in the context of sustainability and the green transition.
Adriana Dima   +5 more
wiley   +1 more source

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