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Every paper Pith has read. Search by title, abstract, or pith.
792 papers in stat.AP · page 1
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Neural model projects more low-fertility countries by 2040
Anticipating Continued Global Fertility Decline via Neural Forecasting
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Adaptive sampling tunes stochastic simulators to data trajectories
Trajectory-Oriented Optimization Via Adaptive Thompson Sampling And Grid Refinement: A Tutorial With The ADAPTIVE\_TS Package
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AI Covariates Reduce Sample Sizes in Registrational Trials
Regulatory Considerations for Using Artificial Intelligence Models to Reduce Sample Sizes in Registrational Studies
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DiVE pools median differences from medians and sample sizes alone
A Direct Variance Estimation (DiVE) for Meta-Analysis of Median Differences
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Bayesian package replaces point estimates in knowledge tracing
StanBKT: Rethinking Parameter Estimation in Bayesian Knowledge Tracing
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Hierarchical models outperform baseline for variant nowcasts
Comparison of probabilistic nowcasts and forecasts of SARS-CoV-2 variant proportions made by hierarchical multinomial linear regression models
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Reassortant H5N1 lineages predict higher Canadian wildlife detections
Spatiotemporal dynamics and ecological risk factors of highly pathogenic avian influenza A(H5N1) in Canadian wildlife: A One Health surveillance analysis
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AI recommender lifts Cox fall-risk model C-index from 0.805 to 0.815
Explainable AI for Data-Driven Design of High-Dimensional Predictive Studies
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Police force racial gaps survive stop bias but vanish with small encounter bias
Sequential Sensitivity Analysis for Multiple Assumptions: A Framework for Understanding Racial Disparity in Police Use of Force
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NYPD analysis: force disparity fragile to encounter bias
Sequential Sensitivity Analysis for Multiple Assumptions: A Framework for Understanding Racial Disparity in Police Use of Force
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Estimator gives valid vaccine effectiveness from TND data with gaps
Targeted maximum likelihood estimation of vaccine effectiveness and immune correlates in test-negative design studies with missing data
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SPICE engine scales explanatory IRT to sparse adaptive data
A Scalable Parametric Item Calibration Engine (SPICE) for Explanatory IRT with Sparse Data
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Museum opening adds 4,691 stays and 0.56M euros to local turnover
Assessing the impact of tourist attractions through the integration of causal inference and demand-side economic analysis: A case study of the Sensoria experience museum in Holzminden, Germany
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Power law beats standard models in Bitcoin price forecasts
Bitcoin's Power Law: Weak Structure, Strong Forecasts
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Markov chain model handles absorbing lists in population estimates
A continuous-time Markov chain framework for population size estimation from multi-list data: accounting for absorbing lists and asymmetric interactions
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P-values from interpoint distance tests select cluster count
Evaluation of the number of clusters in a data set using $p$-values from Multiple Tests of Hypotheses
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Designer ratings dataset lifts AI graphic scorer to 0.611 agreement
TASTE: A Designer-Annotated Multi-Dimensional Preference Dataset for AI-Generated Graphic Design
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Joint model infers infectiousness from PCR data alone
Inferring infectiousness: a joint model of the within-host viral kinetics of SARS-CoV-2
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Optimized cooling channels cut peak temps by 140°C in multi-chip packages
Cooling Channel Design Optimization for High Power Multi-Chip Packages
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AIPW stays stable when propensity models are wrong
Application of Propensity Score Models and Causal Estimators in Observational Studies under Model Misspecification
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New model detects category shifts in periodic time series
Changepoint Detection in Categorical Time Series with Application to Daily Total Cloud Cover in Canada
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High-volume eviction counsel scales filings without raising defaults
High-Volume Plaintiff-Side Counsel and Single-Appearance Eviction Cases in Philadelphia
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Overlapping nuclear norms recover subgroup low-rank geometry
Group-Aware Matrix Estimation and Latent Subspace Recovery
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One parameter suffices to infer signals with unknown background
Compensator-Based Inference for Signal Detection Under Unknown Background
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Min-gate fuses diffusion models to catch all four OOD shifts
Tippett-minimum Fusion of Representation-space Diffusion Models for Multi-Encoder Out-of-Distribution Detection
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10,000-year cyclone catalog reproduces observed track densities
A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
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GHOST locates homes in phone GPS data to within 22 meters
Design and Validation of a Grid-based Home Detection via Stay-Time (GHOST) Software for Mobile Location Data
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Negative random effects group shows 400x larger causal effects
Understanding Deterioration Random Effects for Causal Discovery in Infrastructure Management
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Component imputation prevents type I error inflation in DAH trials
Component over Composite: Mitigating Type I Error Inflation when Imputing "Days Alive and at Home"
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Imputing DAH components keeps type I error stable
Component over Composite: Mitigating Type I Error Inflation when Imputing "Days Alive and at Home"
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Semi-parametric BART separates covariates from epigenetic trees
Semi-Parametric Bayesian Additive Regression Trees for Risk Prediction with High-Dimensional Epigenetic Signatures and Low-Dimensional Covariates
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Mirrored Weibull mixtures outperform Gaussians in stock VaR estimation
Mining Financial Data using Mixtures of Mirrored Weibull Distributions
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Cloning-censoring-weighting estimates effects of 2 vs 5 years tamoxifen
Estimating treatment duration effects via clone-censor-weight: a breast cancer case study
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Benchmark separates ML models on flux extrapolation via tail errors
FLUXtrapolation: A benchmark on extrapolating ecosystem fluxes
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External demand lifts Nepal remittances while tight money cuts them
External Demand, Domestic Monetary Conditions, and Remittance Dynamics in Nepal
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Regression framework unifies HWE tests for X chromosomes
A General Statistical Framework for Hardy-Weinberg Equilibrium Inference on the X Chromosome
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Local LLMs often match commercial APIs on political text tasks
Open-Weight LLMs Are Often Competitive with Commercial APIs for Political Science Text Classification
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RL on All of Us data prescribes steadier higher daily steps
Precision Physical Activity Prescription via Reinforcement Learning for Functional Actions
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R package models marked point processes with location-dependent marks
ldmppr: Location Dependent Marked Point Processes in R
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Bayesian model imputes missing metabolites and selects microbiome predictors
Bayesian Sparse Regression for Microbiome-Metabolite Data Integration
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Framework ranks League champions to fit player style and mastery
Robust Player-Conditional Champion Ranking for League of Legends: Style Similarity, Mastery Priors, and Archetype-Constrained Discovery
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Multivariate reconciliation improves accuracy for hierarchical forecasts
Multivariate reconciliation for hierarchical time series
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New metric tracks referee impact via win-probability shifts
Quantifying Officiating Impact in the NBA: A Referee Impact Metric Analysis Using ESPN Win-Probability Data
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Tensor decompositions match classical methods on 8-class MRI diagnosis
Multi-Class Neurological Disorder Prediction with Tensor Network Feature Engineering
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Physical properties guide Bayesian selection of spectral peaks
Integrating Bayesian Spectral Deconvolution and Expert Scientific Reasoning for Robust Peak Estimation
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Bias corrections for experiment winners vary by effect size
Valuing Winners: When and How to Correct for Selection Bias in Randomized Experiments
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Automation exposure ranges from 3% of tasks in South Sudan to 62% in China
Global Automation Atlas
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Four questions guide checks for regional differences in global trials
A Workflow for Evaluating Regional Treatment Effect Heterogeneity in Multi-Regional Clinical Trials
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Model lets gene networks vary across tumor spatial scales
Multi-resolution Spatial Graphical Regression Models for Hierarchical Spatial Transcriptomics Data
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Divide & Conquer model refines DAH for better trial sample sizes
Beyond the Composite: Enhancing Trial Analysis through a Divide & Conquer Approach to 'Days Alive and at Home': Insights from the NOTACS trial