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Titlebook: Lévy Matters IV; Estimation for Discr Denis Belomestny,Fabienne Comte,Markus Rei? Book 2015 Springer International Publishing Switzerland 2

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書目名稱Lévy Matters IV
副標(biāo)題Estimation for Discr
編輯Denis Belomestny,Fabienne Comte,Markus Rei?
視頻videohttp://file.papertrans.cn/590/589283/589283.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Mathematics
圖書封面Titlebook: Lévy Matters IV; Estimation for Discr Denis Belomestny,Fabienne Comte,Markus Rei? Book 2015 Springer International Publishing Switzerland 2
描述.The aim of this volume is to provide an extensive account of the most recent advances in statistics for discretely observed Lévy processes. These days, statistics for stochastic processes is a lively topic, driven by the needs of various fields of application, such as finance, the biosciences, and telecommunication. .The three chapters of this volume are completely dedicated to the estimation of Lévy processes, and are written by experts in the field. The first chapter by Denis Belomestny and Markus Rei? treats the low frequency situation, and estimation methods are based on the empirical characteristic function. The second chapter by Fabienne Comte and Valery Genon-Catalon is dedicated to non-parametric estimation mainly covering the high-frequency data case. A distinctive feature of this part is the construction of adaptive estimators, based on deconvolution or projection or kernel methods. The last chapter by Hiroki Masuda considers the parametric situation. The chapters cover the main aspects of the estimation of discretely observed Lévy processes, when the observation scheme is regular, from an up-to-date viewpoint..
出版日期Book 2015
關(guān)鍵詞60G10,60G70,60J10,62G05,62M05,60F05,62F12,91B28; Adaptive estimation; Estimation with discrete observa
版次1
doihttps://doi.org/10.1007/978-3-319-12373-8
isbn_softcover978-3-319-12372-1
isbn_ebook978-3-319-12373-8Series ISSN 0075-8434 Series E-ISSN 1617-9692
issn_series 0075-8434
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Fabienne Comte,Valentine Genon-Cataloters. The authors call for boundary-breaking assessment that reflects clear understandings of the purposes of assessment, a balance of assessment creativity and realism, the ability to detect solutions for assessment challenges, and the capacity to question and imagine assessment alternatives. .The 1
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exposed to your company’s employer brand—the attracting stage. This is then followed by the recruitment and selection stage, which refers to the process and experience of moving from applying for a job to being an employee. This stage includes the organisation’s process of sourcing, researching, gen
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,Estimation and Calibration of Lévy Models via Fourier Methods, consider the estimation of the Lévy triplet and the Blumenthal-Getoor index in Lévy and time-changed Lévy models. Moreover, a calibration problem in exponential Lévy models based on option data is studied. The common feature of all these statistical problems is that they can be conveniently formula
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,Adaptive Estimation for Lévy Processes,th sampling interval .. We develop several nonparametric adaptive methods of estimation based on deconvolution, projection and kernel. The asymptotic framework is: . tends to infinity, .?=?.. tends to 0 while .. tends to infinity (high frequency). Bounds for the .-risk of estimators are given. Rates
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,Parametric Estimation of Lévy Processes,ith a focus on infinite activity pure-jump models. Asymptotics for several classes of explicit estimating functions are discussed. In addition to the asymptotic normality at several rates of convergence, a uniform tail-probability estimate for statistical random fields is given. As specific cases, w
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0075-8434 pects of the estimation of discretely observed Lévy processes, when the observation scheme is regular, from an up-to-date viewpoint..978-3-319-12372-1978-3-319-12373-8Series ISSN 0075-8434 Series E-ISSN 1617-9692
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