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APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...
OpenAI today introduced GPT-4.5, a general-purpose large language model that it describes as its largest yet. The ChatGPT developer provides two LLM collections.
Enhance your data analysis skills with this hands-on course on Generalised Linear Models in R. Learn to model complex data types and apply GLMs in real-world scenarios.
Different types of multivariable analysis: generalized linear models Generalized linear models (GLMs, table 2) are a flexible and powerful class of statistical models widely used in multivariable ...
Statistical approaches to overdispersion, correlated errors, shrinkage estimation, and smoothing of regression relationships may be encompassed within the framework of the generalized linear mixed ...
Objectives To model trajectories of antenatal and postnatal growth using linear spline multilevel models. Design Prospective cohort study. Setting Maternity hospital in Dublin, Ireland. Participants ...
The following solutions were proposed: i) Classical linear model with data transformation and ii) Generalized linear mixed models. The assumptions of normality and homogeneity were tested by ...
Model checking possibilistic linear-time properties was investigated by Li in 2017. However, nondeterminism of the system is absent in previous studies. Therefore, in order to permit both ...
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