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Statistical Inference as Severe Testing
Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.
Beyond Business
An inspirational memoir from a remarkable leader. Once a lacklustre organisation, BP became one of the world's biggest, most successful and most admired companies in the new millennium. John Browne, the company's CEO for 12 years, invented the oil 'supermajor' and led the way on issues such as climate change, human rights and transparency. In BEYOND BUSINESS, Browne brings to life what he learned about leadership in a tough industry. His story encompasses the insights gained as he transformed a national company, challenged an entire industry and prompted political and business leaders to change. He takes us across the world on adventures that include going toe-to-toe with both tyrants and elected leaders, and involve engineering feats which in many ways rival those of going to the moon. And he shares his views on the true purpose of business and the leadership needed to tackle the grand challenges of our era. It is also a story of failure and human frailty, as Browne reveals how his private and public lives collided at frightening speed in full view of the world, prompting his abrupt resignation as CEO of BP.
Irreverent Persia
Poetry expressing criticism of social, political and cultural life is a vital integral part of Persian literary history. Its principal genres - invective, satire and burlesque - have been very popular with authors in every age. Despite the rich uninterrupted tradition, such texts have been little studied and rarely translated. Their irreverent tones range from subtle irony to crude direct insults, at times involving the use of outrageous and obscene terms. This anthology includes both major and minor poets from the origins of Persian poetry (10th century) up to the age of Jâmi (15th century), traditionally considered the last great classical Persian poet. In addition to their historical and linguistic interest, many of these poems deserve to be read for their technical and aesthetic accomplishments, setting them among the masterpieces of Persian literature.
Heat Kernels and Analysis on Manifolds, Graphs, and Metric Spaces
This volume contains the expanded lecture notes of courses taught at the Emile Borel Centre of the Henri Poincare Institute (Paris). In the book, leading experts introduce recent research in their fields. The unifying theme is the study of heat kernels in various situations using related geometric and analytic tools. Topics include analysis of complex-coefficient elliptic operators, diffusions on fractals and on infinite-dimensional groups, heat kernel and isoperimetry on Riemannian manifolds, heat kernels and infinite dimensional analysis, diffusions and Sobolev-type spaces on metric spaces, quasi-regular mappings and $p$-Laplace operators, heat kernel and spherical inversion on $SL 2(C)$, random walks and spectral geometry on crystal lattices, isoperimetric and isocapacitary inequalities, and generating function techniques for random walks on graphs. This volume is suitable for graduate students and research mathematicians interested in random processes and analysis on manifolds.
Beneficence
“People stay together, fall apart, come back together, altered. It is a book about work, about grief, about thick ongoing love” from the bestselling author (The Boston Globe). In the midst of a nearly perfect life, Doris Senter is thankful but wary. “We can’t ever know what will come,” she says. When an unimaginable tragedy turns the family of five into a family of four, everything the Senters held faith in is shattered. The family is consumed by sorrow and guilt. Slowly, the surviving family members find their way to forgiveness—of themselves and of each other. Few writers know the human heart and the burden of grief as well as New York Times-bestselling author Meredith Hall (Wi...
Introduction to Uncertainty Quantification
This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) are defined and an overview of the range of mathematical methods by which they can be achieved. Complete with exercises throughout, the book will equip readers with both theoretical understanding and practical experience of the key mathematical and algorithmic tools underlying the treatment of uncertainty in modern applied mathematics. Students and readers alike are encouraged to apply the mathematical methods discussed in this book to their own favorite problems to understand their strengths and weaknesses, also making the text suitable for a self-study. Uncertainty quantification is ...
Past, Present, and Future of Statistical Science
Past, Present, and Future of Statistical Science was commissioned in 2013 by the Committee of Presidents of Statistical Societies (COPSS) to celebrate its 50th anniversary and the International Year of Statistics. COPSS consists of five charter member statistical societies in North America and is best known for sponsoring prestigious awards in stat
Global Innovation Index 2016
The Global Innovation Index ranks the innovation performance of 128 countries and economies around the world, based on 82 indicators. This edition explores the impact of innovation-oriented policies on economic growth and development. High-income and developing countries alike are seeking innovation-driven growth through different strategies. Some countries are successfully improving their innovation capacity, while others still struggle.
Global Sensitivity Analysis
Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potential financial losses, threats to human health or the state of the environment. Quantitative sensitivity analysis is generally agreed to be one such standard. Mathematical models are good at mapping assumptions into inferences. A modeller makes assumptions about laws pertaining to the system, about its...
Bayesian Approach to Inverse Problems
Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-destructive evaluation. The concept of inverse problems precisely originates from the idea of inverting the laws of physics to recover a quantity of interest from measurable data. Unfortunately, most inverse problems are ill-posed, which means that precise and stable solutions are not easy to devise. Regularization is the key concept to solve inverse problems. The goal of this book is to deal with in...
