📊 Statistics - yfff · Scour

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

📐Estimation Theory Academic

Statistically and Computationally Optimal Estimation and Inference of Common Subspaces

📶Communications Academic

Vector Space of Cycles

📐Linear Algebra Academic

Identifiability and Inference for Generalized Latent Factor Models

💬LLMs Academic

saCI: An R Package for Stochastic Approximation Confidence Intervals for Correlation Coefficients

📐Estimation Theory Academic

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

🎯Kalman Filter Academic

Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles

🤖Transformers Academic

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

📉Loss Landscapes Academic

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

📐Estimation Theory Academic

Ising Models on Inhomogeneous Random Graphs: Inference, Local Asymptotic Minimaxity, and Limit of Experiments

🔍Detection Theory Academic

A Counting Process View of Relational Event Models: Practical Asymptotics

🎲Stochastic Processes Academic

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

📐Estimation Theory Academic

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

Non-asymptotic bounds for quasi-MLE, misspecified models, and dependence under group sequential sampling

📐Estimation Theory Academic

Algorithmic and Minimax Complexities in Kernel Bandits

📡Information Theory Academic

Bentkus-type asymptotic e-values

📐Estimation Theory Academic

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

🎲Stochastic Processes Academic

An exploration into how susceptibility distribution misspecifications impact epidemic forecasting

📐Estimation Theory Academic

On prediction-powered inference for quantile regression via convolution smoothing

📐Optimization Theory Academic

Parameter estimation in generalized fractional neuronal models

🎲Stochastic Processes Academic

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