From statistics to mathematical finance: festschrift in honour of Winfried Stute
(eBook)

Book Cover
Contributors:
Published:
Cham, Switzerland : Springer, [2018].
Format:
eBook
ISBN:
9783319509860, 3319509861
Physical Desc:
1 online resource
Status:
Ebsco (CCU)
Description

"This book, dedicated to Winfried Stute on the occasion of his 70th birthday, presents a unique collection of contributions by leading experts in statistics, stochastic processes, mathematical finance and insurance. The individual chapters cover a wide variety of topics ranging from nonparametric estimation, regression modelling and asymptotic bounds for estimators, to shot-noise processes in finance, option pricing and volatility modelling. The book also features review articles, e.g. on survival analysis."--

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APA Citation (style guide)

Ferger, D., & González Manteiga, W. (2018). From statistics to mathematical finance: festschrift in honour of Winfried Stute. Cham, Switzerland, Springer.

Chicago / Turabian - Author Date Citation (style guide)

Ferger, D and Wenceslao, González Manteiga. 2018. From Statistics to Mathematical Finance: Festschrift in Honour of Winfried Stute. Cham, Switzerland, Springer.

Chicago / Turabian - Humanities Citation (style guide)

Ferger, D and Wenceslao, González Manteiga, From Statistics to Mathematical Finance: Festschrift in Honour of Winfried Stute. Cham, Switzerland, Springer, 2018.

MLA Citation (style guide)

Ferger, D. and Wenceslao González Manteiga. From Statistics to Mathematical Finance: Festschrift in Honour of Winfried Stute. Cham, Switzerland, Springer, 2018.

Note! Citation formats are based on standards as of July 2022. Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy.
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Language:
English

Notes

Bibliography
Includes bibliographical references.
Description
"This book, dedicated to Winfried Stute on the occasion of his 70th birthday, presents a unique collection of contributions by leading experts in statistics, stochastic processes, mathematical finance and insurance. The individual chapters cover a wide variety of topics ranging from nonparametric estimation, regression modelling and asymptotic bounds for estimators, to shot-noise processes in finance, option pricing and volatility modelling. The book also features review articles, e.g. on survival analysis."--,Provided by publisher
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Grouped Work ID:
441d34bd-c5a3-7c33-4af7-0d86079ca692
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Record Information

Last File Modification TimeApr 05, 2024 09:48:27 PM
Last Grouped Work Modification TimeApr 05, 2024 09:12:39 PM

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5050 |a Preface.- Review Chapters on Winfried Stute's Work, e.g. Stute's Work in Survival Analysis.- Novikov: Kolmogorov-Smirnov Statistics.- Albrecher: Insurance Mathematics.- Rüschendorf: Risk Bounds and Partial Dependence Information.- Schumacher: Kaplan-Meier Integrals.- Overbeck: Backward SDEs.- Häusler: On Empirical Distribution Functions Under Auxiliary Information.- Eichner: KARDE -- An R package for Kernel-Adaptive Regression and Density Estimation.- Ferger: Asymptotic Tail Bounds for the Dempfle-Stute Estimator in General Regression Models.- Dikta: Semi-parametric Random Censorship Models.- Schmidt: Shot-Noise Processes in Finance.- Koul: Estimating the Error Distribution in a Single-index Model.- Zhu: A Review on Dimension Reduction-based Tests for Regressions.- Roussas: Limiting Experiments and Asymptotic Bounds on the Performance of Sequences of Estimators.- Bhattacharya: Nonparametric Stopping Rules for Detecting Small Changes in Location and Scale Families.- Cao: A Review on Bandwidth Selection for Density Estimation with Dependent Data.- de Uña: On Nonparametric Estimation from Truncated Samples.- Ferreira: Stochastic Processes Applied to Gender Gaps.- Delgado: On the Efficiency of Directional Model Checks for Regression.- Gonzalez-Manteiga: Goodness-of-fit Tests for Stochastic Volatility Models.- Eberlein: Option Pricing with Levy Processes.- Huskova: Change Point Detection with Multivariate Observations Based on Characteristic Functions.
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