Statistics

statistics, probability, data analysis, quantitative reasoning

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Scoured 100 posts in 8.4 ms

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

 🧠LLMs  Content type: Academic
arxiv.org·

Sort, Partition, Randomize: Optimal Binary Hypothesis Testing under Local Differential Privacy

 🔑Cryptography  Content type: Academic
arxiv.org·

Bentkus-type asymptotic e-values

 🧠LLMs  Content type: Academic
arxiv.org·

Uniform central limit theorems for non-stationary processes via relative weak convergence

 🧠Core ML  Content type: Academic
arxiv.org·

Statistical hypothesis testing for differences between layers in dynamic multiplex networks

 🧠LLMs  Content type: Academic
arxiv.org·

Bootstrap-based Hypothesis Test of 2D Contours using Elastic Shape Analysis

 🧠Core ML  Content type: Academic
arxiv.org·

Tests for Independence of High-Dimensional Nonstationary Time Series

 🧠LLMs  Content type: Academic
arxiv.org·

Multiple Quantum Hypothesis Testing: One-Shot Pairwise Bounds and Sharp Asymptotics

 λPLT  Content type: Academic
arxiv.org·

Differential privacy statistical inference for a directed graph network model with covariates

 🕵️Privacy  Content type: Academic
arxiv.org·

On prediction-powered inference for quantile regression via convolution smoothing

 🧠Core ML  Content type: Academic
arxiv.org·

A 65 nm Multi-Modal Bayesian Inference Engine with 16.3 fJ/Sample Calibration-Free GRNG for Risk-Aware At-Home Skin Lesion Screening

 🕵️Privacy  Content type: Academic
arxiv.org·

Vector Space of Cycles

 λPLT  Content type: Academic
arxiv.org·

Subarray based Wideband Beamforming and Variational Sparse CSI Estimation for Low-Resolution MU THz MIMO Systems

 🧠Core ML  Content type: Academic
arxiv.org·

Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging

 🧠Core ML  Content type: Academic
arxiv.org·

Identifiability and Inference for Generalized Latent Factor Models

 🧠LLMs  Content type: Academic
arxiv.org·

Are you sure? A Comprehensive and Comprehensible Survey of Uncertainty Quantification in Symbolic Regression

 🧠Core ML  Content type: Academic
arxiv.org·

AdaKoop: Efficient Modeling of Nonlinear Dynamics from Nonstationary Data Streams with Koopman Operator Regression

 🧠Core ML  Content type: Academic
arxiv.org·

Covariance-Adaptive Residualization and Stagewise Calibration for Dependent Multiple Testing

 🧠Core ML  Content type: Academic
arxiv.org·

Biweighted Poisson Subsampling for Convoluted Rank Regression with Massive Data

 🧠Core ML  Content type: Academic
arxiv.org·

Local increment inference for time-inhomogeneous drift in Gaussian processes

 🧠Core ML  Content type: Academic
arxiv.org·

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