Our main test was whether overdose fatalities increased in tandem with fentanyl purity before decline. We analyzed two periods: Block 1 (July 2022 to September 2023), when purity rose, and Block 2 ...
I drove its lattice-mcp tools by hand from a TypeScript client, checked every answer against grep, and hit five gotchas.
Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies. The two primary classes are "portfolio" and "stonks." ...
These plots as well as the Ljung-Box and Durbin-Watson tests (not shown) demonstrate strong serial correlation at one month lag. Linear trend rates are positive at the great majority of stations, ...
时间序列分析是处理股票历史数据、挖掘价格趋势的核心技术，其原理基于自回归与移动平均模型对平稳序列进行建模。在金融作业与量化研究中，通过Python的statsmodels和pandas库，可完成从数据获取、ADF检验、ARIMA定阶到预测评估的全链路。技术价值在于将统计模型转化为可回测的交易信号，应用 ...
Python 做 ARIMA 时间序列销量预测模型，核心链路其实就四步：把销量整理成带时间索引的序列、做平稳性检验和差分、定阶拟合、滚动预测并评估。这套流程在 statsmodels 里都有现成实现，难点不在写代码，而在每个环节的参数判断和边界处理。这篇文章面向两类人：一类是刚学完 Python 基础、想找 ...
この記事は、書籍「RとStanではじめるベイズ統計モデリングによるデータ分析入門」第5部第2章「ローカルレベルモデル」の Python 写経活動記録です。 第5部は 時系列データ の 状態 ...
관측 오차의 분산이 훨씬 크기 때문에, '일상적인 움직임은 노이즈가 지배적이며, 진정한 트렌드는 비교적 천천히 움직이고 있다'는 것을 알 수 있습니다. $${P>|z|}$$ 가 0.05 이하이므로, 두 분산 ...
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