RiLACS: Risk Limiting Audits via Confidence Sequences
RiLACS: Risk Limiting Audits via Confidence Sequences
复制标题
RiLACS：通过置信序列进行风险限制审计
DOI：
--
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Aaditya Ramdas
中科院分区：
文献类型：
--
作者：
Ian Waudby;P. Stark;Aaditya Ramdas
准确确定选举结果是一项复杂的任务，有许多潜在的错误来源，从投票机的软件故障到程序失误再到彻头彻尾的欺诈。风险限制审计（RLA）是统计原则上的“增量”手计数，提供统计保证，报告的结果准确反映了有效的投票。我们提出了一套工具进行RLA使用置信序列-序列的置信集，统一捕获一个选举参数的兴趣，从一开始的审计，一个详尽的重新计票点的高概率。采用SHANGRLA [1]框架，我们设计了非负鞅，可以为各种选举类型产生计算和统计上有效的置信度序列和RLA。
Accurately determining the outcome of an election is a complex task with many potential sources of error, ranging from software glitches in voting machines to procedural lapses to outright fraud. Risk-limiting audits (RLA) are statistically principled “incremental” hand counts that provide statistical assurance that reported outcomes accurately reflect the validly cast votes. We present a suite of tools for conducting RLAs using confidence sequences — sequences of confidence sets which uniformly capture an electoral parameter of interest from the start of an audit to the point of an exhaustive recount with high probability. Adopting the SHANGRLA [1] framework, we design nonnegative martingales which yield computationally and statistically efficient confidence sequences and RLAs for a wide variety of election types.
影响因子：
1.6
作者：
Howard, Steven R.;Ramdas, Aaditya;Sekhon, Jasjeet
通讯作者：
Sekhon, Jasjeet