Validating predictions of unobserved quantities
نویسندگان
چکیده
منابع مشابه
SNO: Predictions for Ten Measurable Quantities
John N. Bahcall∗ School of Natural Sciences, Institute for Advanced Study, Princeton, NJ 08540 Plamen I. Krastev† Department of Physics, University of Wisconsin, Madison, WI 53706 Alexei Yu. Smirnov‡ International Center for Theoretical Physics, 34100 Trieste, Italy We calculate the range of predicted values for 10 quantities that will be measured by the Sudbury Neutrino Observatory (SNO). We u...
متن کاملValidating Predictions from Climate Envelope Models
Climate envelope models are a potentially important conservation tool, but their ability to accurately forecast species' distributional shifts using independent survey data has not been fully evaluated. We created climate envelope models for 12 species of North American breeding birds previously shown to have experienced poleward range shifts. For each species, we evaluated three different appr...
متن کاملValidating Model-Driven Performance Predictions on Random Software Systems
Software performance prediction methods are typically validated by taking an appropriate software system, performing both performance predictions and performance measurements for that system, and comparing the results. The validation includes manual actions, which makes it feasible only for a small number of systems. To significantly increase the number of systems on which software performance ...
متن کاملEstimating Demand for Spatially Differentiated Firms with Unobserved Quantities and Limited Price Data
I extend the Salop circle treatment to construct a model in which consumers first make discrete choices among symmetric sellers and then choose a continuous amount to purchase. The reduced-form pricing equation of this model identifies several pertinent structural parameters. Monte Carlo simulations indicate that 1) demand shifters and rotators can be distinguished (thus dominating the descript...
متن کاملValidating regulatory predictions from diverse bacteria with mutant fitness data
Although transcriptional regulation is fundamental to understanding bacterial physiology, the targets of most bacterial transcription factors are not known. Comparative genomics has been used to identify likely targets of some of these transcription factors, but these predictions typically lack experimental support. Here, we used mutant fitness data, which measures the importance of each gene f...
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: Computer Methods in Applied Mechanics and Engineering
سال: 2015
ISSN: 0045-7825
DOI: 10.1016/j.cma.2014.08.023