CCBias: An Event Detection Optimization Framework
Loading...
Date
2019
Authors
Faridani, Theo H.
Journal Title
Journal ISSN
Volume Title
Publisher
University of Oregon
Abstract
We present a software, CCBias, to assist researchers in observing events of all kinds. Given characteristic information about a population of objects and observational methods, CCBias can generate synthetic observational data. CCBias can also recommend search strategies if told what observational outcomes are desirable. Lastly, CCBias can estimate the bias in real data by transforming the problem of identifying bias into a problem of estimating model parameters. We demonstrate the strengths and weaknesses of CCBias in a case study focused on planetary defense. CCBias is written in the Python programming language.
Description
35 pages
Keywords
Physics, Observation, Computer Science, Censored Data, Bias, Data Science