论文标题
解开决斗专家证人:比较宾夕法尼亚州的重新划分计划中的合奏方法
Untangling the Dueling Expert Witnesses: Comparing Ensemble Methods in Pennsylvania's Redistricting Plans
论文作者
论文摘要
储层计算是预测湍流的有力工具,其简单的架构具有处理大型系统的计算效率。然而,其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间,然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用,该系统模拟了湍流的若干特征。我们表明,使用径向基函数作为非线性投影器,即使只有部分观测并且不知道控制方程,也能稳健地捕捉复杂的系统非线性。最后,我们表明,当测量稀疏、不完整且带有噪声,甚至控制方程变得不准确时,我们的网络仍然可以产生相当准确的预测,从而为实际湍流系统的无模型预测铺平了道路。
Ensembles of random legislative districts are a valuable tool for assessing whether a proposed district plan is an outlier or gerrymander. Expert witnesses have presented these in litigation using various methods, and unsurprisingly, they often disagree. Recent open source methods now permit independent validation of expert witness testimony. Here, we compare ensembles for the Pennsylvania House and Congressional districts calculated using "Redist" and "Gerrychain" further incorporating constraints restricting county and municipal boundary splitting, as required by Pennsylvania for legal plans. We compare results to expert witness testimony submitted by Republican and Democratic parties. We confirm some of the testimony but could not reproduce all of it, struggling with metrics based on a heuristic "sum of votes index" rathern than a straightforward average of metrics across multiple elections. We recommend against relying on analytics based on summing votes from multiple elections to create vote incides and derivative metrics as these are inherently poorly behaved. To promote transparency, we recommend that where possible, expert witness testimony be based solely on publicly available election data as opposed to proprietary data closely held by political parties.