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.

168,657 papers · 148 categories

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4 results for “EOA”

Universal Patterns in the Blockchain: Analysis of EOAs and Smart Contracts in ERC20 Token Networksq-fin.ST

This study reveals statistical patterns in ERC20 token transactions on Ethereum blockchain.

problem Understanding transactional dynamics in decentralized systems.

method Examined over 44 million ERC20 token transfers, categorized by address type (EOA or SC), and analyzed using scaling laws.

result EOA-driven transactions exhibit consistent statistical behavior, while SC-driven activity displays sublinear scaling and bursty activity.

blockchain ERC20 EOA Smart Contracts scaling laws

2025-08-06abs ↗pdf ↗

Distribution-Free Confidence Ellipsoids for Ridge Regression with PAC Boundsstat.ML

The paper improves confidence ellipsoids for ridge regression with PAC bounds.

problem Uncertainty quantification in ridge regression for insufficiently exciting inputs.

method Extension of SPS EOA algorithm to ridge regression with PAC bounds.

result Explicitly shows how regularization parameter affects region sizes and provides tighter bounds.

ridge regression confidence ellipsoids PAC bounds sign-perturbed sums non-asymptotic

2026-01-19abs ↗pdf ↗

Finite-Sample Identification of Linear Regression Models with Residual-Permuted Sumseess.SY

A new method, Residual-Permuted Sums, improves confidence region construction for linear regression models.

problem Constructing reliable confidence regions for linear regression models with non-symmetric noise.

method Residual-Permuted Sums (RPS) method, which permutes residuals instead of perturbing their signs.

result RPS provides exact finite sample coverage probabilities and is uniformly strongly consistent.

linear regression confidence regions residuals non-symmetric noise finite sample

2024-06-08abs ↗pdf ↗

Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regressioneess.SP

The paper develops a method to create non-asymptotic confidence ellipsoids for linear regression without strong noise distribution assumptions.

problem Constructing reliable confidence regions for linear regression with finite sample sizes and general noise distributions.

method The paper introduces the SPS EOA algorithm to create non-asymptotically guaranteed confidence ellipsoids for linear regression problems.

result The sizes of SPS outer ellipsoids are shown to decrease at the optimal rate for linear regression problems.

linear regression confidence ellipsoids distribution-free finite sample sign-perturbed sums

2024-09-13abs ↗pdf ↗