All Shops

Go to British Wildlife

6 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published six times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £25 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £18 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Bioinformatics

Probabilistic Methods for Bioinformatics With an Introduction to Bayesian Networks

By: Richard E Neapolitan and Xia Jiang
400 pages, Approx. 150 illustrations
Probabilistic Methods for Bioinformatics
Click to have a closer look
Select version
  • Probabilistic Methods for Bioinformatics ISBN: 9780123704764 Hardback May 2009 Usually dispatched within 1 week
    £52.99
    #179457
Selected version: £52.99
About this book Customer reviews Biography Related titles

About this book

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. "Probabilistic Methods for Financial and Marketing Informatics" covers two of the most important applications of informatics and concentrates on approaches to solving realistic business problems.

This book provides applications of informatics to areas such as managerial options and decision making, investment science, marketing, and data mining, concentrating on the probabilistic and decision-theoretic approaches to informatics, emphasizing the use of Bayesian networks. Rather than dwelling on rigor, algorithms, and proofs of theorems, the authors focus on problem solving and practical applications. Included in this book are ample examples and exercises throughout, as well as six chapters that each walk through pragmatic situations. In many cases, solutions are expanded, as the authors discuss their final implementation using the software package Netica. Features of this title are as mentioned below.

It features unique coverage of probabilistic reasoning topics applied to business problems, including advertising, market basket analysis, venture capital decision making, operational risk measurement, bankruptcy prediction, and investment science. It shares insights about when and why probabilistic methods can and cannot be used effectively. It provides complete review of Bayesian networks and probabilistic methods for those IT professionals new to probabilistic informatics. It presents unique coverage of probabilistic reasoning methods applied to bioinformatics data - those methods that are likely to become the standard analysis tools for bioinformatics. It offers complete review of Bayesian networks and probabilistic methods with a practical approach.

Customer Reviews

Biography

Richard E. Neapolitan is professor and Chair of Computer Science at Northeastern Illinois University. He has previously written four books including the seminal 1990 Bayesian network text Probabilistic Reasoning in Expert Systems. More recently, he wrote the 2004 text Learning Bayesian Networks, the textbook Foundations of Algorithms, which has been translated to three languages and is one of the most widely-used algorithms texts world-wide, and the 2007 text Probabilistic Methods for Financial and Marketing Informatics (Morgan Kaufmann Publishers).
By: Richard E Neapolitan and Xia Jiang
400 pages, Approx. 150 illustrations
Media reviews
&i;"Probabilistic Methods for Financial and Marketing Informatics makes important and novel contributions to understanding investment strategies and should be welcomed by practitioners and researchers alike"&o;
- Tony Volpon, Strategist/Chief Economist, CM Capital Markets.
Current promotions
Best of Winter 2018Handbook of the Bees of the British Isles (2-Volume Set)Order your free copy of our 2018 equipment catalogueBritish Wildlife