论文标题
美国枪支暴力事件的双重域分析
Dual-domain analysis of gun violence incidents in the United States
论文作者
论文摘要
本文采用了新的和最近引入的方法来研究美国枪支暴力的趋势。我们在时间和频域中都使用技术来提供对枪支暴力动态的更完整的理解。我们按照枪支暴力档案记录的状态分析枪支暴力事件。我们有许多特定的重点现象，包括事件的周期性，发生行为改变的时间的位置以及自2020年4月以来的枪支暴力模式的转变。首先，我们实施了最近引入的非组织时间序列的光谱密度估计方法，以调查州逐态的周期性，包括揭示周期性行为随时间而变化。我们还可以对国家之间的行为变化的不同模式进行分类。然后，我们的目标是了解自2020年许多关键事件以来的枪支暴力转变，包括19日大流行，锁定和内乱时期。我们的双重域分析提供了更彻底的理解，并挑战了有关枪支暴力事件流行的许多广泛持有的概念。
This paper applies new and recently introduced approaches to study trends in gun violence in the United States. We use techniques in both the time and frequency domain to provide a more complete understanding of gun violence dynamics. We analyze gun violence incidents on a state-by-state basis as recorded by the Gun Violence Archive. We have numerous specific phenomena of focus, including periodicity of incidents, locations in time where behavioral changes occur, and shifts in gun violence patterns since April 2020. First, we implement a recently introduced method of spectral density estimation for nonstationary time series to investigate periodicity on a state-by-state basis, including revealing where periodic behaviors change with time. We can also classify different patterns of behavioral changes among the states. We then aim to understand the most significant shifts in gun violence since numerous key events in 2020, including the COVID-19 pandemic, lockdowns, and periods of civil unrest. Our dual-domain analysis provides a more thorough understanding and challenges numerous widely held conceptions regarding the prevalence of gun violence incidents.
