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Optimal Statistical Inference in Financial Engineering
Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering literature, even though this idea is fundamental to the field. Balancing statistical theory with data analysis, Optimal Statistical Inference in Financial Engineering examines how stochastic models can effectively des
Research Papers in Statistical Inference for Time Series and Related Models
This book compiles theoretical developments on statistical inference for time series and related models in honor of Masanobu Taniguchi's 70th birthday. It covers models such as long-range dependence models, nonlinear conditionally heteroscedastic time series, locally stationary processes, integer-valued time series, Lévy Processes, complex-valued time series, categorical time series, exclusive topic models, and copula models. Many cutting-edge methods such as empirical likelihood methods, quantile regression, portmanteau tests, rank-based inference, change-point detection, testing for the goodness-of-fit, higher-order asymptotic expansion, minimum contrast estimation, optimal transportation...
Statistical Portfolio Estimation
The composition of portfolios is one of the most fundamental and important methods in financial engineering, used to control the risk of investments. This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset processes are introduced, including non-Gaussian stationary processes, nonlinear processes, non-stationary processes, and the book provides a framework for statistical inference using local asymptotic normality (LAN). The approach is generalized for portfolio estimation, so that many important problems can be covered. This book can primarily be used as a reference by researchers from statistics, mathematics, finance, econometrics, and genomics. It can also be used as a textbook by senior undergraduate and graduate students in these fields.
Diagnostic Methods in Time Series
This book contains new aspects of model diagnostics in time series analysis, including variable selection problems and higher-order asymptotics of tests. This is the first book to cover systematic approaches and widely applicable results for nonstandard models including infinite variance processes. The book begins by introducing a unified view of a portmanteau-type test based on a likelihood ratio test, useful to test general parametric hypotheses inherent in statistical models. The conditions for the limit distribution of portmanteau-type tests to be asymptotically pivotal are given under general settings, and very clear implications for the relationships between the parameter of interest a...
大和
Fruit d'une longue expérience de l'enseignement de la langue japonaise, Yamato a avant tout été conçu pour les étudiants, hommes ou femmes d'affaires ou ingénieurs. Toutefois, la rigueur et la simplicité de sa composition le rendent tout à fait accessible à toute personne désireuse d'apprendre le japonais. L'objectif de cet ouvrage est de vous permettre, avec rapidité et efficacité, d'acquérir les notions essentielles et les bases de construction de la langue japonaise. Ceci pour être notamment en mesure d'établir concrètement des échanges professionnels en japonais. Contrairement à ce que l'on pourrait croire, parler japonais n'est pas une tâche véritablement ardue car l...
Mathematical Reviews
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