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Bayesian Models for Astrophysical Data
A hands-on guide to Bayesian models with R, JAGS, Python, and Stan code, for a wide range of astronomical data types.
Knowledge Discovery in Big Data from Astronomy and Earth Observation
Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants. Addresses both astronomy and geosciences in parallel, from a big data perspective Includes introductory information, key principles, applications and the latest techniques Well-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields
Intelligent Astrophysics
This present book discusses the application of the methods to astrophysical data from different perspectives. In this book, the reader will encounter interesting chapters that discuss data processing and pulsars, the complexity and information content of our universe, the use of tessellation in astronomy, characterization and classification of astronomical phenomena, identification of extragalactic objects, classification of pulsars and many other interesting chapters. The authors of these chapters are experts in their field and have been carefully selected to create this book so that the authors present to the community a representative publication that shows a unique fusion of artificial intelligence and astrophysics.
Modeling, Machine Learning and Astronomy
This book constitutes the proceedings of the First International Conference on Modeling, Machine Learning and Astronomy, MMLA 2019, held in Bangalore, India, in November 2019. The 11 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 63 submissions. They are organized in topical sections on modeling and foundations; machine learning applications; astronomy and astroinformatics.
Practical Guide to Logistic Regression
Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries, astronomy, transportation, insurance, economics, recreation, and sports. By harnessing the capabilities of the logistic model, analysts can better understand their data, make appropriate predictions and classifications, and determine the odds of one value of a predictor compared to another. Drawing on his many years of teaching logistic regre...
Modeling Count Data
"This entry-level text offers clear and concise guidelines on how to select, construct, interpret, and evaluate count data. Written for researchers with little or no background in advanced statistics, the book presents treatments of all major models using numerous tables, insets, and detailed modeling suggestions. It begins by demonstrating the fundamentals of linear regression and works up to an analysis of the Poisson and negative binomial models, and to the problem of overdispersion. Examples in Stata, R, and SAS code enable readers to adapt models for their own purposes, making the text an ideal resource for researchers working in public health, ecology, econometrics, transportation, and other related fields"--
The Invisible Flâneuse?
"This collection of essays revisits gender and urban modernity in nineteenth-century Paris in the wake of changes to the fabric of the city and social life. In rethinking the figure of the flâneur, the contributors apply the most current thinking in literature and urban studies to an examination of visual culture of the period, including painting, caricature, illustrated magazines, and posters. Using a variety of approaches, the collection re-examines the long-held belief that life in Paris was divided according to strict gender norms, with men free to roam in public space while women were restricted to the privacy of the domestic sphere." http://www.loc.gov/catdir/enhancements/fy0743/2007533305-d.html.
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Interdisciplinary and Social Nature of Engineering Practices
This book covers practical and philosophical aspects of Engineering, paying special attention to the social impacts of emerging technologies. Some fundamentals of philosophy of technology are introduced followed by social, economic, and environmental discussion and implications in different disciplines. Each chapter provides insights on the responsibilities involved in the design of engineering projects. The examples presented combine concepts about the impacts of Engineering in society at the same time that incorporates new technological models, yielding an innovative approach about the topics.
