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Author: Peter Quell
Publisher:
ISBN: 9781782722632
Category : Risk management
Languages : en
Pages :
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Book Description
Author: Peter Quell
Publisher:
ISBN: 9781782722632
Category : Risk management
Languages : en
Pages :
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Book Description
Author: George A. Christodoulakis
Publisher: Elsevier
ISBN: 0080553885
Category : Business & Economics
Languages : en
Pages : 217
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Book Description
Risk model validation is an emerging and important area of research, and has arisen because of Basel I and II. These regulatory initiatives require trading institutions and lending institutions to compute their reserve capital in a highly analytic way, based on the use of internal risk models. It is part of the regulatory structure that these risk models be validated both internally and externally, and there is a great shortage of information as to best practise. Editors Christodoulakis and Satchell collect papers that are beginning to appear by regulators, consultants, and academics, to provide the first collection that focuses on the quantitative side of model validation. The book covers the three main areas of risk: Credit Risk and Market and Operational Risk.*Risk model validation is a requirement of Basel I and II *The first collection of papers in this new and developing area of research *International authors cover model validation in credit, market, and operational risk
Author: David Wanetick
Publisher:
ISBN: 9780692369562
Category :
Languages : en
Pages : 376
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Book Description
Over twenty years of high-level analytical experience-including hundreds of CEO interviews-are unleashed on the pages of Business Model Validation. Hundreds of valuable insights-regarding industries as diverse as textbook publishers to online pornography purveyors and from cement producers to death care operators-were selected to enable readers to maximize their returns-on-investment. David Wanetick reveals his groundbreaking analysis into emerging business models such as those of on-demand taxis, home sharing, Bitcoin, music streaming, drones, crowdfunding, marijuana dispensaries, electronic cigarettes, flash sales operators, freemium businesses, electric vehicles, massive open online course operators (MOOCs), cloud storage and 3-D printers.
Author: Sez Atamturktur
Publisher: Springer
ISBN: 3319297546
Category : Technology & Engineering
Languages : en
Pages : 366
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Book Description
Model Validation and Uncertainty Quantifi cation, Volume 3. Proceedings of the 34th IMAC, A Conference and Exposition on Dynamics of Multiphysical Systems: From Active Materials to Vibroacoustics, 2016, the third volume of ten from the Conference brings together contributions to this important area of research and engineering. Th e collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: • Uncertainty Quantifi cation & Model Validation • Uncertainty Propagation in Structural Dynamics • Bayesian & Markov Chain Monte Carlo Methods • Practical Applications of MVUQ • Advances in MVUQ & Model Updating • Robustness in Design & Validation • Verifi cation & Validation Methods
Author: Hannes Hapke
Publisher: "O'Reilly Media, Inc."
ISBN: 1492053147
Category : Computers
Languages : en
Pages : 398
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Book Description
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques
Author: Robert Barthorpe
Publisher: Springer
ISBN: 3319548581
Category : Technology & Engineering
Languages : en
Pages : 368
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Book Description
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, 2017, the third volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on: Uncertainty Quantification in Material Models Uncertainty Propagation in Structural Dynamics Practical Applications of MVUQ Advances in Model Validation & Uncertainty Quantification: Model Updating Model Validation & Uncertainty Quantification: Industrial Applications Controlling Uncertainty Uncertainty in Early Stage Design Modeling of Musical Instruments Overview of Model Validation and Uncertainty
Author: Zhu Mao
Publisher: Springer Nature
ISBN: 3030773485
Category : Technology & Engineering
Languages : en
Pages : 187
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Book Description
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the third volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on: Inverse Problems and Uncertainty Quantification Controlling Uncertainty Validation of Models for Operating Environments Model Validation & Uncertainty Quantification: Decision Making Uncertainty Quantification in Structural Dynamics Uncertainty in Early Stage Design Computational and Uncertainty Quantification Tools
Author: S. Scandizzo
Publisher: Springer
ISBN: 1137436964
Category : Business & Economics
Languages : en
Pages : 242
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Book Description
This book is a one-stop-shop reference for risk management practitioners involved in the validation of risk models. It is a comprehensive manual about the tools, techniques and processes to be followed, focused on all the models that are relevant in the capital requirements and supervisory review of large international banks.
Author: H. Sezer Atamturktur
Publisher: Springer
ISBN: 3319152246
Category : Technology & Engineering
Languages : en
Pages : 361
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Book Description
Model Validation and Uncertainty Quantification, Volume 3. Proceedings of the 33rd IMAC, A Conference and Exposition on Balancing Simulation and Testing, 2015, the third volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: Uncertainty Quantification & Model Validation Uncertainty Propagation in Structural Dynamics Bayesian & Markov Chain Monte Carlo Methods Practical Applications of MVUQ Advances in MVUQ & Model Updating
Author: Malcolm G. Anderson
Publisher: John Wiley & Sons
ISBN:
Category : Science
Languages : en
Pages : 522
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Book Description
Validation is a central issue to future model design in environmental science. This book is the first to provide a critical appraisal of today's validation needs, capabilities, and required changes in philosophy. It takes examples from four different scales: hillslope and river channel, catchment, regional, and global. This timely book offers unique, multifaceted coverage of model validation in hydrological science today. Topics covered include calibration procedures, data assimilation, scaling, critical future need in validation, and evidence of field data. * State-of-the-art research book on an important new topic * End-of-section discussion chapters written by leading international researchers
