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GET TO KNOW SPIRITISM
This book is intended for those who wish to know the Spiritist Doctrine in its triple aspect: science, philosophy and religion, identifying its theoretical bases, its truths and its practical application. This work serves as a guide to the meaning of life, elucidating some fundamental questions of human existence, whether they are: where do we come from? where are we going? What is the phenomenon of death? What is reincarnation? Who is Jesus, who is God, what is Allan Kardec's task in the codification of Spiritism, obsession, mediumship, the family, constitute, among others, exciting subjects for the awakening and illumination of the soul.
Dependence in Probability and Statistics
This book gives an account of recent developments in the field of probability and statistics for dependent data. It covers a wide range of topics from Markov chain theory and weak dependence with an emphasis on some recent developments on dynamical systems, to strong dependence in times series and random fields. There is a section on statistical estimation problems and specific applications. The book is written as a succession of papers by field specialists, alternating general surveys, mostly at a level accessible to graduate students in probability and statistics, and more general research papers mainly suitable to researchers in the field.
Second Temple Pseudepigraphy
At this point of the scholarly debate on the nature of Second Temple pseudepigraphy, one may ask why another look at the problem is needed. This book is not the definitive answer to that problem but it proposes different paths - or better still, a two-fold path: on one hand to understand Second Temple pseudepigraphy as a mystical experience and on the other, for lack of a suitable ancient example, to compare it to modern-day automatic writing.
Mixing
Mixing is concerned with the analysis of dependence between sigma-fields defined on the same underlying probability space. It provides an important tool of analysis for random fields, Markov processes, central limit theorems as well as being a topic of current research interest in its own right. The aim of this monograph is to provide a study of applications of dependence in probability and statistics. It is divided in two parts, the first covering the definitions and probabilistic properties of mixing theory. The second part describes mixing properties of classical processes and random fields as well as providing a detailed study of linear and Gaussian fields. Consequently, this book will provide statisticians dealing with problems involving weak dependence properties with a powerful tool.
Asymptotic Methods in Probability and Statistics
One of the aims of the conference on which this book is based, was to provide a platform for the exchange of recent findings and new ideas inspired by the so-called Hungarian construction and other approximate methodologies. This volume of 55 papers is dedicated to Miklós Csörgő a co-founder of the Hungarian construction school by the invited speakers and contributors to ICAMPS'97.This excellent treatize reflects the many developments in this field, while pointing to new directions to be explored. An unequalled contribution to research in probability and statistics.
Where does religion end?
The author's decision to leave religion, after experiencing a profound growth crisis, founded itself in the free action of one, who after walking tenaciously, has extinguished an existential possibility and reached a new realm of understanding about the realities of the consciousness and the universe. The inner freedom encountered to make this kind of decision was the result of a gradual self-confrontation. This author perceived the necessity to dispel the fear associated with questioning his habitual suppositions and to look beyond the limits of the indoctrination he had received. For a long time, while still religious, he named this fearlessness "a quest for wisdom" or "the spirituality of...
Beyond Exceptionalism
While the economic involvement of early modern Germany in slavery and the slave trade is increasingly receiving attention, the direct participation of Germans in human trafficking remains a blind spot in historiography. This edited volume focuses on practices of enslavement taking place within German territories in the early modern period as well as on the people of African, Asian, and Native American descent caught up in them.
Asymptotic Theory of Weakly Dependent Random Processes
Ces notes sont consacrées aux inégalités et aux théorèmes limites classiques pour les suites de variables aléatoires absolument régulières ou fortement mélangeantes au sens de Rosenblatt. Le but poursuivi est de donner des outils techniques pour l'étude des processus faiblement dépendants aux statisticiens ou aux probabilistes travaillant sur ces processus.
Convexity and Concentration
This volume presents some of the research topics discussed at the 2014-2015 Annual Thematic Program Discrete Structures: Analysis and Applications at the Institute of Mathematics and its Applications during the Spring 2015 where geometric analysis, convex geometry and concentration phenomena were the focus. Leading experts have written surveys of research problems, making state of the art results more conveniently and widely available. The volume is organized into two parts. Part I contains those contributions that focus primarily on problems motivated by probability theory, while Part II contains those contributions that focus primarily on problems motivated by convex geometry and geometric analysis. This book will be of use to those who research convex geometry, geometric analysis and probability directly or apply such methods in other fields.
Concentration Inequalities
Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great revolution in the last few decades, and has applications in a wide variety of areas such as machine learning, statistics, discrete mathematics, and high-dimensional geometry. Roughly speaking, if a function of many independent random variables does not depend too much on any of the variables then it is concentrated in the sense that with high probability, it is close to its expected value. This book offers a host of inequalities to illustrate this rich theory in an accessible way by covering the key developments and applications in the field. The authors descri...
