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Model-reduced inverse modeling
2006Although faster computers have been developed in recent years, they tend to be used to solve even more detailed problems. In many cases this will yield enormous models that can not be solved within acceptable time constraints. Therefore, there is a need for alternative methods that simulate such models more efficiently ans conserve the detailed ...
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Inverse Stereographic Gaussian DAG Models
Directed acyclic graphical models are statistical models that use a directed acyclic graph (DAG) to represent the conditional independence structure of a set of random variables. We introduce a new class of DAG models tailored for circular variables having an Inverse Stereographic Normal distribution.Anna Gottard, Agnese Panzera
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Calibrating Models – Inverse Problems
2013In the previous chapters we studied several model choices to describe stock price and interest rate dynamics. When using models to valuate derivatives or to obtain a hedging strategy, the used parameters will greatly impact the results. While there is broad agreement of how to model many problems in physics (such as the thermal conductivity of copper ...
Hansjoerg Albrecher +3 more
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
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Colored Inversion and Acoustic Model-based Inversion Techniques.
Proceedings, 2015In this study was used Colored and Acoustic post-stack seismic inversion techniques. Five horizons from the reservoir zone were interpreted to determine geological inputs for the model. Well-log data was used to build synthetic traces which were then tied to the real seismic data.
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Inverse Modeling and Validation
2016The ‘inverse’ model solves the IOPs (or concentrations of optically active water constituents) from reflectance measured at the top of the atmosphere by remote sensors or from in situ measurements of reflectance. Inversion approaches for the retrieval of water-quality parameters from remotely sensed data are typically divided into two categories ...
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
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The biofilm life cycle: expanding the conceptual model of biofilm formation
Nature Reviews Microbiology, 2022Karin Sauer +2 more
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