Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Bayesian Time Series Models
The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.
Advances in Neural Information Processing Systems
The proceedings of the 2001 Neural Information Processing Systems (NIPS) Conference. The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. The conference is interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and diverse applications. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented at the 2001 conference.
The Oxford Handbook of Applied Bayesian Analysis
Bayesian analysis has developed rapidly in applications in the last two decades and research in Bayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application of Bayesian analysis using increasingly realistic stochastic models, and this drives the adoption of Bayesian approaches in many areas of science, technology, commerce, and industry. This Handbook explores contemporary Bayesian analysis across a variety of application areas. Chapters written by leading exponents of applied Bayesian analysis showcase the scientific ease and natural application of Bayesian modelling, and present solutions to real, engaging, societally important and demanding problems. The chapters are grouped into five general areas: Biomedical & Health Sciences; Industry, Economics & Finance; Environment & Ecology; Policy, Political & Social Sciences; and Natural & Engineering Sciences, and Appendix material in each touches on key concepts, models, and techniques of the chapter that are also of broader pedagogic and applied interest.
Music and Probability
Exploring the application of Bayesian probabilistic modeling techniques to musical issues, including the perception of key and meter.
Bayesian Reasoning and Machine Learning
A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
Data Money
The cryptocurrency world has transformed in a few short years from a niche subculture to a parallel economic universe, reaching a market capitalization of more than $2.5 trillion in 2021 before plummeting in 2022. For their advocates, cryptocurrencies represent a revolution of world-historical significance. To critics, crypto is more of a speculative tool than a true currency. How do tens of thousands of financial actors make these new monies? What forces give cryptocurrencies their value—or take it away? And what does crypto’s spectacular ascent reveal about the nature of money? In this groundbreaking ethnographic analysis of crypto economies and their global markets and communities, Ko...
Modelling Biomedical Signals
In the last few years, concepts and methodologies initially developed in physics have found high applicability in many different areas. This book, a result of cross-disciplinary interaction among physicists, biologists and physicians, covers several topics where methods and approaches rooted in physics are successfully applied to analyze and to model biomedical data. Included are papers on physiological rhythms and synchronization phenomena, gene expression patterns, the immune system, decision support systems in medical science, protein folding and protein crystallography. The volume can be used as a valuable reference for graduate students and researchers at the interface of physics, biology and medicine.The proceedings have been selected for coverage in: ? Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)
Independent Component Analysis and Signal Separation
This book constitutes the refereed proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation, ICA 2009, held in Paraty, Brazil, in March 2009. The 97 revised papers presented were carefully reviewed and selected from 137 submissions. The papers are organized in topical sections on theory, algorithms and architectures, biomedical applications, image processing, speech and audio processing, other applications, as well as a special session on evaluation.
Building the Information Society
In the context of the 18th IFIP World Computer Congress (WCC’04), and beside the traditional organization of conferences, workshops, tutorials and student forum, it was decided to identify a range of topics of dramatic interest for the building of the Information Society. This has been featured as the "Topical day/session" track of the WCC’04. Topical Sessions have been selected in order to present syntheses, latest developments and/or challenges in different business and technical areas. Building the Information Society provides a deep perspective on domains including: the semantic integration of heterogeneous data, virtual realities and new entertainment, fault tolerance for trustworth...
Mathematical and Statistical Methods for Actuarial Sciences and Finance
The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results. This volume introduces new ideas, in the form of four-page papers, presented at the international conference Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), held at Universidad Carlos III de Madrid (Spain), 4th-6th April 2018. The book covers a wide variety of subjects in actuarial science and financial fields, all discussed in the context of the cooperation between the three quantitative approaches. The topics include: actuarial models; analysis of high frequency financial data; behavioural fin...
