منابع مشابه
Quantifying Input Uncertainty via Simulation Confidence Intervals
Full terms and conditions of use: http://pubsonline.informs.org/page/terms-and-conditions This article may be used only for the purposes of research, teaching, and/or private study. Commercial use or systematic downloading (by robots or other automatic processes) is prohibited without explicit Publisher approval. For more information, contact [email protected]. The Publisher does not warr...
متن کاملSpatial Confidence Regions for Quantifying and Visualizing Registration Uncertainty
For image registration to be applicable in a clinical setting, it is important to know the degree of uncertainty in the returned point-correspondences. In this paper, we propose a data-driven method that allows one to visualize and quantify the registration uncertainty through spatially adaptive confidence regions. The method applies to various parametric deformation models and to any choice of...
متن کاملQuantifying Performance Changes with Effect Size Confidence Intervals
Measuring performance and quantifying a performance change are core evaluation techniques in programming language and systems research. Out of 122 recent scientific papers published at PLDI, ASPLOS, ISMM, TOPLAS, and TACO, as many as 65 included experimental evaluation that quantified a performance change using a ratio of execution times. Unfortunately, few of these papers evaluated their resul...
متن کاملQuantifying Systemic Evolutionary Changes by Color Coding Confidence-Scored PPI Networks
A current major challenge in systems biology is to compute statistics on biomolecular network motifs, since this can reveal significant systemic differences between organisms. We extend the “color coding” technique to weighted edge networks and apply it to PPI networks where edges are weighted by probabilistic confidence scores, as provided by the STRING database. This is a substantial improvem...
متن کاملQuantifying effects in two-sample environmental experiments using bootstrap confidence intervals
Two-sample experiments (paired or unpaired) are often used to analyze treatment effects in life and environmental sciences. Quantifying an effect can be achieved by estimating the difference in center of location between a treated and a control sample. In unpaired experiments, a shift in scale is also of interest. Non-normal data distributions can thereby impose a serious challenge for obtainin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Econometrica
سال: 2018
ISSN: 0012-9682
DOI: 10.3982/ecta13079