It takes the average reader 5 hours and 4 minutes to read Bayesian Methods for Nonlinear Classification and Regression by David G. T. Denison
Assuming a reading speed of 250 words per minute. Learn more
Nonlinear Bayesian modelling is a relatively new field, but one that has seen a recent explosion of interest. Nonlinear models offer more flexibility than those with linear assumptions, and their implementation has now become much easier due to increases in computational power. Bayesian methods allow for the incorporation of prior information, allowing the user to make coherent inference. Bayesian Methods for Nonlinear Classification and Regression is the first book to bring together, in a consistent statistical framework, the ideas of nonlinear modelling and Bayesian methods. * Focuses on the problems of classification and regression using flexible, data-driven approaches. * Demonstrates how Bayesian ideas can be used to improve existing statistical methods. * Includes coverage of Bayesian additive models, decision trees, nearest-neighbour, wavelets, regression splines, and neural networks. * Emphasis is placed on sound implementation of nonlinear models. * Discusses medical, spatial, and economic applications. * Includes problems at the end of most of the chapters. * Supported by a web site featuring implementation code and data sets. Primarily of interest to researchers of nonlinear statistical modelling, the book will also be suitable for graduate students of statistics. The book will benefit researchers involved inregression and classification modelling from electrical engineering, economics, machine learning and computer science.
Bayesian Methods for Nonlinear Classification and Regression by David G. T. Denison is 302 pages long, and a total of 76,104 words.
This makes it 102% the length of the average book. It also has 93% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 6 hours and 55 minutes to read Bayesian Methods for Nonlinear Classification and Regression aloud.
Bayesian Methods for Nonlinear Classification and Regression is suitable for students ages 12 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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