It takes the average reader 2 hours and 43 minutes to read Bayesian Networks with an Application to Credit Risk by Geoffrey Kent
Assuming a reading speed of 250 words per minute. Learn more
Abstract: Bayesian Networks are a local factorization of the joint probability distribution, combined with a directed acyclic graph that represents conditional independence statements. Bayesian networks have become a pervasive methodology in the modeling of uncertain domains because Bayesian networks systematically describe and simplify complex dependencies between random variables in an efficient and principled manner. Founded on the centuries-old Bayesian probability theory, advances in statistics and computer science have allowed Bayesian networks to be built and applied over a wide range of applications in an efficient and intuitive manner. Many examples are presented to demonstrate the capabilities of the networks, including applications to handwriting analysis, medical diagnosis, recommender systems, ecommerce, and credit risk.
Bayesian Networks with an Application to Credit Risk by Geoffrey Kent is 158 pages long, and a total of 40,764 words.
This makes it 53% the length of the average book. It also has 50% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 3 hours and 42 minutes to read Bayesian Networks with an Application to Credit Risk aloud.
Bayesian Networks with an Application to Credit Risk is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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