Suchresultate — 106 items matching your search terms
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Christian Gourieroux
- Generalized Covariance Estimator
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Dr. Werner Ehm
- Geometrisch-optische Illusionen und Riemannsche Geometrie
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Franziska Grundner-Culemann
- Inference of biogeographical ancestry from SNP data -- an evaluation of selection methods and classifiers on a variety of SNP data sets
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Prof. Isaac Sonin
- Optimal Stopping of Markov Chains, Gittins Index and Related Optimization Problems
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Martin Gütlein, David Vorgrimmler
- Developing Prediction Models and Visualization Tools for Predictive Toxicology
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Dr. Amke Caliebe
- Forensic DNA Phenotyping
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Prof. Eric Renault (CANCELLED!!!)
- Identifying Volatility Risk Price through Leverage Effect
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David Glavind Skovmand
- Roll-Over Risk in Benchmark Rates
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Tim Litwin
- Inferring 3 Parameters from 2 Data Points
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Francois Bachoc
- Consistency of stepwise uncertainty reduction strategies for Gaussian processes
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Max Nendel
- Asymptotic parametrization of Wasserstein balls and perturbed Markovian transition semigroups
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Lena Kulla
- On a Mystery in Machine Learning
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Dr. Jana Naue
- Chronological Age Determination for Forensic Applications using Random Forest Regression and DNA Methylation Analysis
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Johannes Hertel
- Linking differential equation modeling to population statistics in metabolomics - insights from general population data for statistical analyses and study ...
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Dr. Christian Fleck
- Agent-Based Modelling of Single Cell Variability of CRISPR-Cas Interference and Adaptation
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Rémy Degenne
- Adaptive Testing: Bandits find correct answers fast
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Kristin Ohneberg
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Fabio Mercurio
- Libor transition: Facts and Modeling Challenges
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Prof. Dr. David Siegmund (Stanford University)
- Segmentation and Estimation of Change-Points
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Prof. Dr. Svetlozar Rachev
- Risk management, Modeling Volatile Markets and Forecasting Market Crashes
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Prof. Claudia Czado
- Konstruktion von multivariaten Kopulas und deren Anwendungen
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Jun-Prof. Jonathan Henshaw
- How much of a covariance is causal?
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Dr. Johannes Lederer
- A General Framework for Uncovering Dependence Networks
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Prof. Steven Vanduffel
- Value-at-Risk aggregation under uncertainty
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Dr. Markus Pauly
- Über die Qualität von Permutationstests für unbalancierte, heterogene Zweistichprobenprobleme
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Volatility estimation for stochastic PDEs using high-frequency observations
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Prof. Dr. Thomas Brox
- Deep Learning
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Prof. Dr. Ingo Steinwart
- (Localized) learning with kernels
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Merle Behr
- Learning compositional structures
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Prof. Martin Wolkewitz
- Statistical phenomena in hospital epidemiology: Challenges for statisticians and clinicians