On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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3 results for “Montana”

Health-behaviors associated with the growing risk of adolescent suicide attempts: A data-driven cross-sectional studystat.AP

Study identifies key health behaviors linked to adolescent suicide attempts.

problem Understanding health behaviors associated with increased risk of adolescent suicide attempts.

method Cross-sectional data analysis using machine learning algorithms and logistic regression.

result Non-parametric Bayesian tree ensemble model outperforms other models, achieving 80.0% accuracy in goodness-of-fit and 78.2% in predictive accuracy.

adolescent suicide health behaviors machine learning Montana suicide prevention

2020-09-08abs ↗pdf ↗

Adaptive County Level COVID-19 Forecast Models: Analysis and Improvementstat.ML

Improved county-level COVID-19 forecasting model using LSTM and data augmentation.

problem Accurately forecasting county-level COVID-19 cases to optimize medical resources.

method Adapted TDEFSI-LONLY model, utilized LSTM, data augmentation, and inter-county mixing.

result CLEIR-Net model provides better forecasts than TDEFSI-LONLY.

COVID-19 forecasting LSTM data augmentation inter-county mixing

2020-06-16abs ↗pdf ↗

On the evolution of data breach reporting patterns and frequency in the United States: a cross-state analysisq-fin.RM

Study analyzes data breach reporting patterns and frequency across U.S. states, finding increasing trends after 2020.

problem Contradictory conclusions in data breach frequency trends due to inconsistent data collection and reporting standards.

method Joint analysis of state Attorneys General's publications on data breaches across eight states with established notification laws.

result Frequency of data breaches is increasing after 2020, with commonalities and heterogeneities across states.

data breaches cyber insurance reporting patterns frequency trends state-specific differences

2023-10-07abs ↗pdf ↗