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Refining the Concept of Scientific Inference When Working with Big Data

workshop to examine critical challenges and opportunities in performing scientific inference reliably when working with big data. Participants;

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Big Scientific Data Management

This book constitutes the refereed proceedings of the First International Conference on Big Scientific Data Management, BigSDM 2018, held;

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Discovery And Fusion Of Uncertain Knowledge In Data

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent;

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Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Studies

This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big;

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Likelihood

basis for inductive inference is not that of probability, with its addition axiom, but that of likelihood, the concept introduced by Fisher as a;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic;

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Analysis of Integrated Data

The advent of Big Data has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that;

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Analysis of Integrated Data

The advent of Big Data has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that;

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Statistics

focus on ethics, which is critically important when working with statistical data. Chapter Summaries have a new, study-oriented design, helping;

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Frontiers in Data Science

comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical;

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Frontiers in Data Science

comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical;

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Computer Age Statistical Inference

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data;

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Structured Search for Big Data

complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information from the Big Data. As;

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Big Data-driven World

This book examines the methodological foundations of the Big Data-driven world, formulates its concept within the frameworks of modern;

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Data Scientists at Work

data projects, how they became data scientists, their discoveries and surprises in working with data, their thoughts on the past, present, and;

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Big Data in Astronomy

Big Data in Radio Astronomy: Scientific Data Processing for Advanced Radio Telescopes provides the latest research developments in big;

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Statistical Learning from a Regression Perspective

, given a set of predictors, and in the absence of a credible model that can be specified before the data analysis begins. Consistent with modern;

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The Whens and Wheres of a Scientific Life

Big questions and issues arise about the role of the scientific life in our society and in our world. These have to do with trusting;

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Principles of Big Data

concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data;

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The Seven Pillars of Statistical Wisdom

, information measurement, challenges the importance of big data by noting that observations are not all equally important: the amount of information;

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Geographical Data Science and Spatial Data Analysis

consider Spatial Data (i.e. the location attached to data), or that consider issues of inference, linking Big Data, Geography, GIS, Mapping and;

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Practical Big Data Analytics

Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R;

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The Performance of Social Systems

when dealing with the concept of performance have been recognized and few books until now ventured to tackle the task, mainly because of the;

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The Performance of Social Systems

when dealing with the concept of performance have been recognized and few books until now ventured to tackle the task, mainly because of the;

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Learning Probabilistic Graphical Models in R

This Book Is For This book is for anyone who has to deal with lots of data and draw conclusions from it, especially when the data is noisy;

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Big Data

, analytics, and applications of Big Data. It provides readers with the basis for further efforts in this challenging scientific field that will play;

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