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Computational Statistics
Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.
Computational Statistics
Computational inference is based on an approach to statistical methods that uses modern computational power to simulate distributional properties of estimators and test statistics. This book describes computationally intensive statistical methods in a unified presentation, emphasizing techniques, such as the PDF decomposition, that arise in a wide range of methods.
Advances in Principal Component Analysis
This book describes and discusses the use of principal component analysis (PCA) for different types of problems in a variety of disciplines, including engineering, technology, economics, and more. It presents real-world case studies showing how PCA can be applied with other algorithms and methods to solve both large and small and static and dynamic problems. It also examines improvements made to PCA over the years.
Water Civilization
Water Civilization: From Yangtze to Khmer Civilizations comprises three major topics: 1) Discovery of the origin of rice agriculture and the Yangtze River civilization in southern China was mainly based on investigation of the Chengtoushan archaeological site, the earliest urban settlement in East Asia. The origin of rice cultivation can be traced back to 10000 BC, with urban settlement starting at about 6000 BP; 2) The Yangtze River civilization collapsed around 4200 BP. Palaeoenvironmental studies including analyses of annually laminated sediments in East and Southeast Asia indicate a close relationship between climate change and the rise and fall of the rice-cultivating and fishing civili...
Marvels of Artificial and Computational Intelligence in Life Sciences
Marvels of Artificial and Computational Intelligence in Life Sciences is a primer for scholars and students who are interested in the applications of artificial intelligence (AI and computational intelligence (CI) in life sciences and other industries. The book consists of 16 chapters (9 of which focus on AI and 7 which showcase the benefits of CI approaches to solve specific problems). Chapters are edited by subject experts who describe the roles and applications of AI and CI in different parts of our lives in a concise and lucid manner. The book covers the following key themes: AI Revolution in Healthcare and Drug Discovery: AI's Impact on Biology and Energy Management AI and CI in Physical Sciences and Predictive Modeling Computational Biology The editors have compiled a good blend of topics in applied science and engineering to give readers a clear understanding of the multidisciplinary nature of the two facets of computing. Each chapter includes references for advanced readers.
