Environmental noise is prevalent and ubiquitous, particularly that from traffic in urban areas. 1 Noise has been associated with annoyance, cardiovascular disease, and impaired cognitive performance, ...
Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...
This article ( original research paper) proposes a systematic regression-based fundamental equity valuation model that can potentially be applied in areas such as quantitative finance and machine ...
Environmental epidemiologists often encounter time series data in the form of discrete or other nonnormal outcomes; for example, in modeling the relationship between air pollution and hospital ...
Identification of differentially expressed genes and clustering of genes are two important and complementary objectives addressed with gene expression data. For the differential expression question, ...
Risk Score Model of Aging-Related Genes for Bladder Cancer and Its Application in Clinical Prognosis
Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus were used to construct a 12-gene ARG-based prognostic signature through LASSO and Cox regression ...
This course is available on the BSc in Actuarial Science, BSc in Actuarial Science (with a Placement Year), BSc in Data Science, BSc in Financial Mathematics and Statistics, BSc in Mathematics with ...
For a long time, the industrial sector has faced severe technological challenges in structured data processing. Traditional methods rely on combinations of language large models (LLM) or proprietary ...
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