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Every paper Pith has read. Search by title, abstract, or pith.
1584 papers in stat.ME · page 6
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Procedure finds subgroups with different treatment effects and exact FDR control
Adaptive discovery of effect modification in matched observational studies
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Hybrid booster adds linear terms to trees for macro forecasts
LGB+: A Macroeconomic Forecasting Road Test
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Tests for exposure mapping models cannot beat random rejection
On the Impossibility of Specification Testing of Interference Models Based on Exposure Mappings
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Calibrating every LLM judge beats selecting only the accurate ones
Calibrate, Don't Curate: Label-Efficient Estimation from Noisy LLM Judges
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Threshold m* decides when spatial effects matter in areal regression
On the Need for Spatial Random Effects in Bayesian Regression Models for Multilevel Areal Data
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Bayesian model clusters marked point processes and estimates continuous intensities
Laplace Variational Inference for Dirichlet Process Mixtures of Marked Poisson Point Processes
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Standard BH controls FDR curve across all parameters
Simultaneous false discovery rate control in location families
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Empirical Bayes shrinkage completes 1-bit matrices with balanced accuracy and calibration
Empirical Bayes 1-bit matrix completion
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Random forest surrogate cuts likelihood evaluations in phylogenetic SMC
Accelerating Bayesian Phylogenetic Inference via Delayed Acceptance Sequential Monte Carlo with Random Forest Surrogates
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Bridge functions identify path-specific effects with hidden confounders
Proximal Path-Specific Inference
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Shared parametric value function scales RL measurement to large tasks
Reinforcement Learning Measurement Model
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New method bounds expected false effect-modifier selections
Causal Stability Selection
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Nested sensitivity maps produce sharp bounds on transported quantile effects
Nested Sensitivity Envelopes for Transported Quantile Treatment Effects
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Counterfactual CDFs are regular exactly when dual bridge is square-integrable
Regularity, Phase Transitions, and Uniform Inference for Proximal Counterfactual Quantile Processes
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Functional regression maps when physical activity interventions work
Quantifying Time-Varying Physical Activity Intervention Effects via Functional Regression
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Unsigned CATE estimates power randomization tests without splitting data
Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
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Clustering method consistent for high-dimensional heavy-tailed data
Semiparametric Elliptical Mixture Clustering for High-Dimensional Data
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Model averaging unites linear regression and ML for optimal predictions
Prediction-Powered Linear Regression: A Balance Between Interpretation and Prediction
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Estimators achieve minimax optimal rates for unbalanced transport-growth pairs
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
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Simulation corrects bias in semiparametric models
Bias Correction for Semiparametric Regression Models
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Spherical mixtures unify EHR code embeddings across institutions
Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces
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Nonparametric EB intervals reach nominal coverage asymptotically
Nonparametric Empirical Bayes Confidence Intervals
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Transfer learning improves abundance estimates from CPUE data
Accounting for variable detection functions in temporal abundance modeling via transfer learning
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Time-weighted estimator recovers activity anchors from irregular GPS
An Object-Oriented Spatial Statistics Approach for Human Activity Space Estimation
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Sinkhorn divergence tests full distributional treatment effects
Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
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AM-PPI narrows CIs 10-40% by routing cases to right predictor
Active Multiple-Prediction-Powered Inference
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Rolling calibration window optimizes conformal coverage for time series
Rolling-Origin Conformal Prediction under Local Stationarity and Weak Dependence
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Adjusting for assessment timing removes bias in EHR trial estimates
Statistical Design of Pragmatic Trials Using Electronic Health Record Data when Outcome Assessments are Uncontrolled and Irregular
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AI Changes Incidence and Visibility of Econometric Failures
Vibe Econometrics and the Analysis Contract
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Rebiasing debiased estimates shortens intervals with valid coverage
Empirical Bayes Rebiasing
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SSL method raises efficiency in doubly censored EHR risk prediction
Semi-supervised Method for Risk Prediction with Doubly Censored EHR Data
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Combined rank tests detect wider benefits in experiments
Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
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Bayesian imputation improves coverage for missing functional data
BAMIFun: Bayesian Multiple Imputation for Functional Data
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Estimator resists both row-wide and single-cell outliers in regression
Cellwise and Casewise Robust Multivariate Regression with Inference
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Joint location-scale minimization degenerates on product manifolds
Scale selection for geometric medians on product manifolds
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Evidence-based priors replace worst-case checks in causal sensitivity
Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors
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CHASM spots dependence shifts via recursive DMD eigenvalues
CHASM: Online Changepoint Detection in Temporal and Cross-Variable Dependence
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GenAI extracts deconfounders for causal effects of sequences in text and video
GenAI Powered Dynamic Causal Inference with Unstructured Data
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Optimal cutoffs minimize weighted risk in skew-normal biomarker models
Parametric ROC Analysis and Optimal Cutoff Selection under Scale Mixtures of Skew-Normal Distributions: A Decision-Theoretic Framework with Asymptotic Inference
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Optimizing AP tests nears theoretical power limits in adaptive trials
Operationalizing Allocation Probability Tests: Practical Guidance on Optimized Implementation for Power and Robustness
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Inverse mean or variance independence recovers central subspace
Sufficient Dimension Reduction via Inverse Conditional Mean or Variance Independence
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Missing data requires larger samples for stable prediction models
Incorporating Missing Data Considerations into Sample Size Calculations for Developing Clinical Prediction Models
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Hidden Markov model detects regime shifts in proportion time series
A Beta-GAM Hidden Markov Model for Proportion Time Series
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OLS calibration yields weighted transported treatment effects
Transporting treatment effects by calibrating large-scale observational outcomes
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Calibrating observational data to experiments transports treatment effects consistently
Transporting treatment effects by calibrating large-scale observational outcomes
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Cached responses reduce queries for benchmarking new models
Query-efficient model evaluation using cached responses
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Finite-horizon model spots seasonal flea market patterns
A Finite-Horizon Mixture Cure Model with Application to Online Flea Market Data
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Quantized model swaps give agents global FDR control in novelty detection
Decentralized Conformal Novelty Detection via Quantized Model Exchange
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Latent model separates confounding for nonlinear IV with rich covariates
BGM-IV: an AI-powered Bayesian generative modeling approach for instrumental variable analysis