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 Bayesian Machine Learning in Quantitative Finance: Theory and Practical Applications by Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala

Android ebook download free Bayesian Machine Learning in Quantitative Finance: Theory and Practical Applications 9783031884313 by Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala


Download Bayesian Machine Learning in Quantitative Finance: Theory and Practical Applications PDF

Download Bayesian Machine Learning in Quantitative Finance: Theory and Practical Applications




Android ebook download free Bayesian Machine Learning in Quantitative Finance: Theory and Practical Applications 9783031884313 by Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala

This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative finance. It demonstrates how advanced Bayesian machine learning techniques can be applied within financial engineering, investment portfolio management, insurance, municipal finance management as well as banking. The book covers a broad range of modelling approaches, including Bayesian neural networks, Gaussian processes and Markov Chain Monte Carlo methods. It also discusses the utility of Bayesian inference in quantitative finance and discusses future research goals in the applications of Bayesian machine learning in quantitative finance. Chapters are rooted in the theory of quantitative finance and machine learning while also outlining a range of practical considerations for implementing Bayesian techniques into real-world quantitative finance problems. This book is ideal for graduate researchers and practitioners at the intersection of machine learning and quantitative finance, as well as those working in computational statistics and computer science more broadly.

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The book covers a broad range of modelling approaches, including Bayesian neural networks, Gaussian processes and Markov Chain Monte Carlo .
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Bayesian Machine Learning in Quantitative Finance: Theory and Practical Applications is written by Wilson Tsakane Mongwe; Rendani Mbuvha; Tshilidzi Marwala .
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This book explores the utility of employing the Bayesian inference framework to solve various problems in quantitative finance. With the increase in .