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.
Study analyzes homicide rates in Goias, Brazil, using clustering methods.
Machine learning predicts homicide clearance rates with SHAP explaining key features.
stCEG models spatial events using Chain Event Graphs in R.
Causal discovery algorithms can help generate legal arguments.
Understanding the causes of crime is a longstanding issue in researcher's agenda. While it is a hard task to extract causality from data, several linear models have been proposed to predict crime through the existing correlations between crime and urban metrics. However, because of non-Gaussian distributions and multic…
We present a probabilistic method for linking multiple datafiles. This task is not trivial in the absence of unique identifiers for the individuals recorded. This is a common scenario when linking census data to coverage measurement surveys for census coverage evaluation, and in general when multiple record-systems nee…
Robust feature-weighted jump models for time-dependent clustering
LDF combines neural networks with probabilistic models for data fusion.