📊 Statistics - yfff

Confidence, Statistical Evidence and Relative Belief with Applications to a Problem in Particle Physics

⚛️Physics Academic

arxiv.org·

Is AI-written code buggier than human code? We measured it

🕵️LLM Agents Blog

repowise.dev··Hacker News

Less-relevant results

Reorgs happen

🎲Stochastic Processes Blog

ben.balter.com··Hacker News

Security in the Post-Mythos Era

🦀Rust Blog

blogs.cisco.com·

An Estimator-Robust Design for Augmenting Randomized Controlled Trials with External Real-World Data

📐Estimation Theory Academic

arxiv.org·

A coupling-based approach to f-divergences diagnostics for Markov chain Monte Carlo

🎲Stochastic Processes Academic

arxiv.org·

Convergence Rates for Neural-Network Estimation with Current-Status Data

🎯Kalman Filter Academic

arxiv.org·

Bayes-assisted Confidence Regions: Focal Point Estimator and Bounded-influence Priors

📐Estimation Theory Academic

arxiv.org·

Adressing Separation: A Firth-corrected Joint Model for Longitudinal and Time-to-event Data with an Application on Dropout from Vocational Training

📉Loss Landscapes Academic

arxiv.org·

Estimating equations for causal survival analysis with pooled logistic regression

📐Estimation Theory Academic

arxiv.org·

When can a posterior predictive check identify the learning rate? Exact degeneracy in Gaussian models and implications for Generalised Bayesian Inerence

📐Estimation Theory Academic

arxiv.org·

Algorithmic and Minimax Complexities in Kernel Bandits

📡Information Theory Academic

arxiv.org·

Sequential statistical inference for Large Language Models: Representation, validity, and monitoring

💬LLMs Academic

arxiv.org·

Locally Equivalent Weights for Multilevel Regression and Poststratification

🐙Open Source Academic

arxiv.org·

Data augmented bootstrap: Unifying confidence interval construction by approximate invariance

📐Estimation Theory Academic

arxiv.org·

Sample Where You Struggle: Sharpening Base Model Reasoning via Entropy-Guided Power Sampling

🎲Stochastic Processes Academic

arxiv.org·

Validity and Power of Heavy-Tailed Combination Tests under Asymptotic Dependence

Training an Agentic Router for Optimal Cost-Performance on SWE Tasks

/drill-me transfer information from cc to human

We measured whether a drift-checker changes what an AI coding agent writes

Confidence, Statistical Evidence and Relative Belief with Applications to a Problem in Particle Physics

Is AI-written code buggier than human code? We measured it

Reorgs happen

Security in the Post-Mythos Era

An Estimator-Robust Design for Augmenting Randomized Controlled Trials with External Real-World Data

A coupling-based approach to f-divergences diagnostics for Markov chain Monte Carlo

Convergence Rates for Neural-Network Estimation with Current-Status Data

Bayes-assisted Confidence Regions: Focal Point Estimator and Bounded-influence Priors

Adressing Separation: A Firth-corrected Joint Model for Longitudinal and Time-to-event Data with an Application on Dropout from Vocational Training

Estimating equations for causal survival analysis with pooled logistic regression

When can a posterior predictive check identify the learning rate? Exact degeneracy in Gaussian models and implications for Generalised Bayesian Inerence

Algorithmic and Minimax Complexities in Kernel Bandits

Sequential statistical inference for Large Language Models: Representation, validity, and monitoring

Locally Equivalent Weights for Multilevel Regression and Poststratification

Data augmented bootstrap: Unifying confidence interval construction by approximate invariance

Sample Where You Struggle: Sharpening Base Model Reasoning via Entropy-Guided Power Sampling