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"Bayesian Inference: Recent Trends" ed. by İhsan Bucak

Posted By: exLib
"Bayesian Inference: Recent Trends" ed. by İhsan Bucak

"Bayesian Inference: Recent Trends" ed. by İhsan Bucak
ITexLi | 2024 | ISBN: 1837693552 9781837693559 1837693560 9781837693566 1837693579 9781837693573 | 78 pages | PDF | 6 MB

This book is an invaluable resource for anyone interested in the intersection of statistics, machine learning, and data science. It offers a unique perspective on Bayesian inference, revealing its potential to provide robust solutions in an increasingly data-driven world. The book is your gateway to understanding and leveraging the power of Bayesian methods in the ever-evolving landscape of data analysis.

Sustainable Statistical and Data Science Methods and Practices

Posted By: AvaxGenius
Sustainable Statistical and Data Science Methods and Practices

Sustainable Statistical and Data Science Methods and Practices: Reports from LISA 2020 Global Network, Ghana, 2022 by O. Olawale Awe, Eric A. Vance
English | PDF EPUB (True) | 2024 | 433 Pages | ISBN : 3031413512 | 55.1 MB

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2–6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.

"Bayesian Inference: Recent Advantages" ed. by Niansheng Tang

Posted By: exLib
"Bayesian Inference: Recent Advantages" ed. by Niansheng Tang

"Bayesian Inference: Recent Advantages" ed. by Niansheng Tang
ITexLi | 2022 | ISBN: 1803560452 9781803560458 1803560444 9781803560441 1803560460 9781803560465 | 109 pages | PDF | 8 MB

This book introduces recent developments in Bayesian inference, and covers a variety of topics including robust Bayesian estimation, solving inverse problems via Bayesian theories, hierarchical Bayesian inference, and its applications for scattering experiments. The book will stimulate more extensive research on Bayesian fronts to include theories, methods, computational algorithms and applications in various fields such as data science, AI, machine learning, and causality analysis.

Foundations of Statistical Analyses and Applications with SAS

Posted By: AvaxGenius
Foundations of Statistical Analyses and Applications with SAS

Foundations of Statistical Analyses and Applications with SAS by Michael Falk
English | PDF | 2002 | 405 Pages | ISBN : 0817668934 | 38.48 MB

The analysis of real data by means of statistical methods with the aid of a software package common in industry and administration will certainly be part of a future professional work of many students in mathematics or mathematical statistics.

Statistical Analysis of Extreme Values: from Insurance, Finance, Hydrology and Other Fields

Posted By: AvaxGenius
Statistical Analysis of Extreme Values: from Insurance, Finance, Hydrology and Other Fields

Statistical Analysis of Extreme Values: from Insurance, Finance, Hydrology and Other Fields by Rolf-Dieter Reiss
English | PDF | 1997 | 325 Pages | ISBN : 3764372303 | 26.47 MB

The statistical analysis of extreme data is important for various disciplines, including hydrology, insurance, finance, engineering and environmental sciences. This book provides a self-contained introduction to the parametric modeling, exploratory analysis and statistical interference for extreme values.