archive
Every paper Pith has read. Search by title, abstract, or pith.
792 papers in stat.AP · page 10
-
Restricted Shapley value ranks player shot contributions
A Model-Based Restricted Shapley Value to Measure the Players' Contribution to Shot Actions in Football
-
New g-computation algorithms handle semi-competing events in causal inference
Novel g-computation algorithms for time-varying actions with recurrent and semi-competing events
-
Adaptive weights enable bi-level CME selection for GLMs
Adaptive Bi-Level Variable Selection of Conditional Main Effects for Generalized Linear Models
-
Decomposed model separates behavior from internal neural dynamics
Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior
-
Exact TFCE replaces discretization with full cluster retrieval
eTFCE: Exact Threshold-Free Cluster Enhancement via Fast Cluster Retrieval
-
Supervised UMAP works for classification but lags in regression
A Comparative Study of UMAP and Other Dimensionality Reduction Methods
-
LLMs Align More With Each Other Than With Human Teachers
Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact
-
Booking models learn fragile ceilings when supply is elastic
Coupled Supply and Demand Forecasting in Platform Accommodation Markets
-
Training randomness shifts individual patient risks in ML healthcare models
Diagnostics for Individual-Level Prediction Instability in Machine Learning for Healthcare
-
Consistent preprocessing beats algorithm choice for kidney discard prediction
Comparative Evaluation of Machine Learning Models for Predicting Donor Kidney Discard
-
Model reproduces urban extreme rainfall patterns at sensor resolution
Spatio-temporal modeling of urban extreme rainfall events at high resolution
-
Bayesian model forecasts tourist origins with 27% lower error
Forecasting the Evolving Composition of Inbound Tourism Demand: A Bayesian Compositional Time Series Approach Using Platform Booking Data
-
huff package provides complete Python workflow for Huff model
huff: A Python package for Market Area Analysis
-
Bayesian model reveals upper limit on elite decathlon totals
Quantifying the limits of human athletic performance: A Bayesian analysis of elite decathletes
-
Cities flip from mostly safe to mostly damaged in abrupt jumps
Phase Transitions in Collective Damage of Civil Structures under Natural Hazards
-
Metrics reveal smoothing induced by multivariate priors in disease mapping
Prior Smoothing for Multivariate Disease Mapping Models
-
Coin-flip oracle caps out-of-sample R² in returns
A Nontrivial Upper Bound on the Out-of-Sample $R^2$ in Return Forecasting
-
LLM answers cycle daily and weekly
Daily and Weekly Periodicity in Large Language Model Performance and Its Implications for Research
-
Infection effect estimates depend on local strain frequencies
Latent variation in pathogen strain-specific effects under multiple-versions-of-treatment theory
-
Estimators detect Medicare upcoding despite unreliable reports
Time-to-Event Estimation with Unreliably Reported Events in Medicare Health Plan Payment
-
Population priors sharpen single-subject brain network maps from noisy fMRI
Bayesian brain mapping: a population-informed framework for personalized functional network topography and connectivity
-
Bayesian method recovers seabed shape and roughness from waves
Simultaneous Estimation of Seabed and Its Roughness With Longitudinal Waves
-
DRIO adds worst-case Wasserstein regularization to time series imputation
Multivariate Time Series Data Imputation via Distributionally Robust Regularization
-
97 random node pairs measure network segmentedness
How segmented is my network?
-
Low-rank weights yield singular Bayesian neural network posteriors
Singular Bayesian Neural Networks
-
Shared-factor model updates expert beliefs without querying
Learning-to-Defer in Non-Stationary Time Series via Switching State-Space Models
-
NMA treatment rankings must use a specific patient profile
Personalized Treatment Hierarchies in Bayesian Network Meta-Analysis
-
Weather clusters enable wind forecasts with under 5 months of data
Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters
-
RGB wins k-means quantization in half of images
Optimized $k$-means color quantization of digital images in machine-based and human perception-based colorspaces
-
Model hits 79.6% calibration for monotone compositional breaks
Directional-Shift Dirichlet ARMA Models for Compositional Time Series with Structural Break Intervention
-
Uncertainty shifts from passive metric to active signal in LLMs
From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models
-
Learned SDE reproduces tropical cyclone intensification statistics
Learning a Stochastic Differential Equation Model of Tropical Cyclone Intensification from Reanalysis and Observational Data
-
Therapy transcript emotions predict anxiety and depression outcomes
Language Markers of Emotion Flexibility Predict Depression and Anxiety Treatment Outcomes
-
Cauchy-Gaussian mix cuts GNSS protection levels by up to 47%
Cauchy-Gaussian Overbound for Heavy-tailed GNSS Measurement Errors
-
Excursion scaling detects stochasticity in discrete signals
Detecting Stochasticity in Discrete Signals via Nonparametric Excursion Theorem
-
Metamodel cuts opioid simulation needs by 90 percent
Computationally Efficient Estimation of Localized Treatment Effects for Multi-Level, Multi-Component Interventions to Address the Opioid Crisis
-
Prewhitening does not boost efficiency in dependent errors-in-variables regression
Errors-in-variables regression for dependent data with estimated error covariance matrix: To prewhiten or not?
-
Spectral functional detects causality at linear sample scaling
Order-Constrained Spectral Causality for Multivariate Time Series
-
Blocking AI crawlers cuts traffic for large news sites
Strategic Response of News Publishers to Generative AI
-
Large tests find rounded buttons barely affect click rates
Power Analysis is Essential: High-Powered Tests Suggest Minimal to No Effect of Rounded Shapes on Click-Through Rates
-
Gaussian transport barycenter yields closed-form invariant features
Invariant Feature Extraction Through Conditional Independence and the Optimal Transport Barycenter Problem: the Gaussian case
-
Physician checks expose 27% errors in clinical AI benchmark
Scalable Stewardship of an LLM-Assisted Clinical Benchmark with Physician Oversight
-
Generalized-gamma mixtures fit image data better than standard priors
Do Generalized-Gamma Scale Mixtures of Normals Fit Large Image Datasets?
-
Constrained factorization splits national grid loads into three sectors
A Blind Source Separation Framework to Monitor Sectoral Power Demand from Grid-Scale Load Measurements
-
Routine blood tests flag myeloma risk more than a decade early
Routine Blood Biomarkers Reveal a Preclinical Continuum of Multiple Myeloma Risk
-
Command metric beats make-or-miss stats for free throw skill
Commanding the Foul Shot: A New Ensemble of Free Throw Metrics
-
Randomization-based e-tests control errors at any stopping time
Sequential Randomization Tests Using e-values: Applications for trial monitoring
-
Decay-adjusted model tracks MDA effects on NTD prevalence
A decay-adjusted spatio-temporal model to account for the impact of mass drug administration on neglected tropical disease prevalence
-
Implicit updates stabilize score-driven filters for any learning rate
Implicit score-driven filters for time-varying parameter models
-
PCA extremes sampling gains efficiency for many models at once
Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases