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.
High-Dimensional Statistics
A coherent introductory text from a groundbreaking researcher, focusing on clarity and motivation to build intuition and understanding.
Graphical Models, Exponential Families, and Variational Inference
The core of this paper is a general set of variational principles for the problems of computing marginal probabilities and modes, applicable to multivariate statistical models in the exponential family.
Statistical Learning with Sparsity
Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underl
Statistics for High-Dimensional Data
Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods’ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.
Reason, Revelation, and Devotion
The book presents a novel defense of the beneficial epistemic effect that extra logical features can have on the assessment of religious arguments.
Climate Leviathan
**Winner of the 2019 Sussex International Theory Prize** -- How climate change will affect our political theory - for better and worse Despite the science and the summits, leading capitalist states have not achieved anything close to an adequate level of carbon mitigation. There is now simply no way to prevent the planet breaching the threshold of two degrees Celsius set by the Intergovernmental Panel on Climate Change. What are the likely political and economic outcomes of this? Where is the overheating world heading? To further the struggle for climate justice, we need to have some idea how the existing global order is likely to adjust to a rapidly changing environment. Climate Leviathan provides a radical way of thinking about the intensifying challenges to the global order. Drawing on a wide range of political thought, Joel Wainwright and Geoff Mann argue that rapid climate change will transform the world's political economy and the fundamental political arrangements most people take for granted. The result will be a capitalist planetary sovereignty, a terrifying eventuality that makes the construction of viable, radical alternatives truly imperative.
Multivariate Statistics
A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic tools and exact distributional results of multivariate statistics, and, in addition, the derivations...
Handbook of Graphical Models
A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, making the models a valuable tool with a plethora of applications. Furthermore, directed graphical models allow intuitive causal interpretations and have become a cornerstone for causal inference. While there exist a number of excellent books on graphical models, the field has grown so much that individual authors can hardly cover its entire scope. Moreover, the field is interdisciplinary by nature. Through chapters by leading researchers from different areas, this handbook provides a broad and acce...
Dynamical Systems in Cosmology
This is the first book to show how modern dynamical systems theory can help us both in understanding the evolution of cosmological models, and in relating them to real cosmological observations. It will be an invaluable reference for graduate students and researchers in relativity, cosmology and dynamical systems theory.
High-Dimensional Probability
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
