# Statistical and Computational Modeling

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/statistical-and-computational-modeling/

## Facts

| Field | Value |
| --- | --- |
| Citations | 170,256 |
| Description | This cluster of papers focuses on the application of inductive modeling techniques, particularly GMDH-type neural networks and interval models, in various scientific research domains. The papers cover topics such as environmental monitoring, modeling and prediction of complex processes, application of machine learning algorithms, and the use of self-organization techniques. The overarching theme revolves around the utilization of advanced computational methods for sustainable development and scientific analysis. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | https://openalex.org/T14351 |
| Works | 27,054 |

## Topic papers all

- [Plots, Transformations, and Regression: An Introduction to Graphical Methods of Diagnostic Regression Analysis.](https://scholariq.org/papers/plots-transformations-and-regression-an-introduction-to-graphical-methods-of/)
- [Neural-ODE for pharmacokinetics modeling and its advantage to alternative machine learning models in predicting new dosing regimens](https://scholariq.org/papers/neural-ode-for-pharmacokinetics-modeling-and-its-advantage-to-alternative/)
- [Druggability of Pharmaceutical Compounds Using Lipinski Rules with Machine Learning](https://scholariq.org/papers/druggability-of-pharmaceutical-compounds-using-lipinski-rules-with-machine/)
- [Intelligent monitoring method of water quality based on image processing and RVFL‐GMDH model](https://scholariq.org/papers/intelligent-monitoring-method-of-water-quality-based-on-image-processing-and/)
- [Interpretation Framework of Predictive Quality Models for Process- and Product-oriented Decision Support](https://scholariq.org/papers/interpretation-framework-of-predictive-quality-models-for-process-and-product/)
- [Explainable AI for correct root cause analysis of product quality in injection moulding](https://scholariq.org/papers/explainable-ai-for-correct-root-cause-analysis-of-product-quality-in-injection/)
- [Explainable AI in Manufacturing: an Analysis of Transparency and Interpretability Methods for the XMANAI Platform](https://scholariq.org/papers/explainable-ai-in-manufacturing-an-analysis-of-transparency-and-interpretability/)
- [Evaluation Methodology for Interpretation Methods of Predictive Quality Models](https://scholariq.org/papers/evaluation-methodology-for-interpretation-methods-of-predictive-quality-models/)
- [Molding Material Reclamation: A Case Study of Manufacturing Process Analysis Using a Causal-Based Graphical Model Approach](https://scholariq.org/papers/molding-material-reclamation-a-case-study-of-manufacturing-process-analysis/)

## Topic researchers

Showing 12 of 20.

- [Eric S. Lander](https://scholariq.org/researchers/eric-s-lander/)
- [Francisco Herrera](https://scholariq.org/researchers/francisco-herrera/)
- [George E. P. Box](https://scholariq.org/researchers/george-e-p-box/)
- [Stanley Lemeshow](https://scholariq.org/researchers/stanley-lemeshow/)
- [Kristopher J. Preacher](https://scholariq.org/researchers/kristopher-j-preacher/)
- [Kenneth P. Burnham](https://scholariq.org/researchers/kenneth-p-burnham/)
- [David W. Hosmer](https://scholariq.org/researchers/david-w-hosmer/)
- [Joseph L. Fleiss](https://scholariq.org/researchers/joseph-l-fleiss/)
- [Kenneth A. Bollen](https://scholariq.org/researchers/kenneth-a-bollen/)
- [S. F. Schaffner](https://scholariq.org/researchers/s-f-schaffner/)
- [John W. Tukey](https://scholariq.org/researchers/john-w-tukey/)
- [Robert R. Sokal](https://scholariq.org/researchers/robert-r-sokal/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.