Download Building a Platform for Data-Driven Pandemic Prediction; From Data Modelling to Visualization - The CovidLP Project PDF Free - Full Version
Download Building a Platform for Data-Driven Pandemic Prediction; From Data Modelling to Visualization - The CovidLP Project by Dani Gamerman & Marcos O. Prates & Thaís Paiva and Vinícius D. Mayrink in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Building a Platform for Data-Driven Pandemic Prediction; From Data Modelling to Visualization - The CovidLP Project
This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modelling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive plotting programs. The book focuses on the integration of statistics and computing tools rather than an in-depth analysis of all possibilities on each side. Readers can follow different reading paths through the book, depending on their needs. The book is meant as a basis for further investigation of statistical modelling, implementation tools, monitoring aspects, and software functionalities.
Detailed Information
| Author: | Dani Gamerman & Marcos O. Prates & Thaís Paiva and Vinícius D. Mayrink |
|---|---|
| Publication Year: | 2022 |
| ISBN: | 367709996 |
| Language: | other |
| File Size: | 7.2248 |
| Format: | |
| Price: | FREE |
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