From Statistics to Mathematical Finance Festschrift in Honour of Winfried Stute /
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 est...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.