![Studies in Neural Data Science]( "Studies in Neural Data Science")
Book
Canale, A. (Ed), Durante, D. (Ed), Paci, L. (Ed), Scarpa, B. (Ed) (2018)
This volume presents a collection of peer-reviewed contributions arising from StartUp Research: a stimulating research experience in which twenty-eight early-career researchers …
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![Universal Coding and Order Identification by Model Selection Methods]( "Universal Coding and Order Identification by Model Selection Methods")
Book
Gassiat, É. (2018)
The purpose of these notes is to highlight the far-reaching connections between Information Theory and Statistics. Universal coding and adaptive compression are indeed closely …
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![Coding Ockham's Razor]( "Coding Ockham's Razor")
Book
Allison, L. (2018)
This book explores inductive inference using the minimum message length (MML) principle, a Bayesian method which is a realisation of Ockham's Razor based on information theory. …
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![Majorization and the Lorenz Order with Applications in Applied Mathematics and Economics]( "Majorization and the Lorenz Order with Applications in Applied Mathematics and Economics")
Textbook
Arnold, B. C., Sarabia, J. M. (2018)
This book was written to serve as a graduate-level textbook for special topics classes in mathematics, statistics, and economics, to introduce these topics to other researchers, …
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![A Parametric Approach to Nonparametric Statistics]( "A Parametric Approach to Nonparametric Statistics")
Textbook
Alvo, M., Yu, P. L. H. (2018)
This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such as the use of the …
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![New Frontiers of Biostatistics and Bioinformatics]( "New Frontiers of Biostatistics and Bioinformatics")
Book
Zhao, Y. (Ed), Chen, D. (Ed) (2018)
This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers …
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![Empirical Likelihood and Quantile Methods for Time Series]( "Empirical Likelihood and Quantile Methods for Time Series")
Book
Liu, Y., Akashi, F., Taniguchi, M. (2018)
This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.g., infinite variance processes, not only from …
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![Statistical Analysis of Microbiome Data with R]( "Statistical Analysis of Microbiome Data with R")
Book
Xia, Y., Sun, J., Chen, D. (2018)
This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors’ research and from …
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![Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control]( "Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control")
Textbook
Selvamuthu, D., Das, D. (2018)
This book provides an accessible presentation of concepts from probability theory, statistical methods, the design of experiments and statistical quality control. It is shaped by …
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![Targeted Learning in Data Science]( "Targeted Learning in Data Science")
Textbook
van der Laan, M. J., Rose, S. (2018)
This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. It presents a …
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![The Later Wittgenstein and Moral Philosophy]( "The Later Wittgenstein and Moral Philosophy")
Book
De Mesel, B. (2018)
This book shows that Ludwig Wittgenstein’s later philosophical methods can be fruitfully applied to several problems in contemporary moral philosophy. The author …
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![Statistics and Simulation]( "Statistics and Simulation")
Book
Pilz, J. (Ed), Rasch, D. (Ed), Melas, V. B. (Ed), Moder, K. (Ed) (2018)
This volume features original contributions and invited review articles on mathematical statistics, statistical simulation and experimental design. The selected peer-reviewed …
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![Semiparametric Regression with R]( "Semiparametric Regression with R")
Book
Harezlak, J., Ruppert, D., Wand, M. P. (2018)
This easy-to-follow applied book on semiparametric regression methods using R is intended to close the gap between the available methodology and its use in practice. …
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![Shrinkage Estimation]( "Shrinkage Estimation")
Book
Fourdrinier, D., Strawderman, W. E., Wells, M. T. (2018)
This book provides a coherent framework for understanding shrinkage estimation in statistics. The term refers to modifying a classical estimator by moving it closer to a target …
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![Finite Mixture of Skewed Distributions]( "Finite Mixture of Skewed Distributions")
Book
Lachos Dávila, V. H., Cabral, C. R. B., Zeller, C. B. (2018)
This book presents recent results in finite mixtures of skewed distributions to prepare readers to undertake mixture models using scale mixtures of skew normal distributions …
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![The Measurement of Association]( "The Measurement of Association")
Book
Berry, K. J., Johnston, J. E., Mielke, Jr., P. W. (2018)
This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of …
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![Applied Compositional Data Analysis]( "Applied Compositional Data Analysis")
Book
Filzmoser, P., Hron, K., Templ, M. (2018)
This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for …
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![Generalized Linear Models With Examples in R]( "Generalized Linear Models With Examples in R")
Textbook
Dunn, P. K., Smyth, G. K. (2018)
This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced …
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![Theory and Application of Uniform Experimental Designs]( "Theory and Application of Uniform Experimental Designs")
Book
Fang, K., Liu, M., Qin, H., Zhou, Y. (2018)
The book provides necessary knowledge for readers interested in developing the theory of uniform experimental design. It discusses measures of uniformity, various construction …
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![U-Statistics, Mm-Estimators and Resampling]( "U-Statistics, Mm-Estimators and Resampling")
Textbook
Bose, A., Chatterjee, S. (2018)
This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U-statistics and Mm-estimators and …
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