Research
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.

168,742 papers · 148 categories

Trend · papers per month

count% of corpus
0.3%0.5%0.8%0.1% · May 202119922001200920172026
5 results for “pedigree”
Prediction of Hereditary Cancers Using Neural Networksstat.ML

Neural networks improve cancer risk prediction from family history data.

problem Improving cancer risk prediction from family history data using machine learning.
method Developed and trained neural network models on large pedigrees to predict hereditary cancers.
result Neural networks can achieve nearly optimal prediction performance and outperform traditional models in misreported data.
neural networksfamily historycancer riskpedigreehereditary cancers
2021-06-25abs ↗pdf ↗
Extending Models Via Gradient Boosting: An Application to Mendelian Modelsstat.AP

Gradient boosting enhances existing Mendelian models for genetic disease risk prediction.

problem Improving existing Mendelian models for genetic disease risk prediction.
method Combining gradient boosting with existing Mendelian models.
result Improved model outperforms both original and gradient boosting-only models.
gradient boostingMendelian modelsgenetic diseaserisk predictionfamily pedigrees
2021-05-13abs ↗pdf ↗
Blang: Bayesian declarative modelling of general data structures and inference via algorithms based on distribution continuastat.CO

Blang simplifies Bayesian analysis for non-standard data types.

problem Bayesian inference for non-standard data structures.
method Bayesian declarative language, distribution continua, sequential Monte Carlo, non-reversible MCMC.
result Bayesian analysis on arbitrary data types is feasible and efficient.
Bayesian inferencenon-standard datadeclarative syntaxsequential Monte Carlonon-reversible MCMC
2019-12-22abs ↗pdf ↗