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Every paper Pith has read. Search by title, abstract, or pith.
769 papers in stat.ME · page 1
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Workflow finds only estimable effects before ranking CNMA treatments
Creating treatment and component hierarchies in component network meta-analysis
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Covariate specs in IV regressions yield different LATE averages
A Practical Guide to Instrumental Variables Methods with Heterogeneous Treatment Effects
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Optimal logging policies minimize OPE error via reward-coverage balance
Logging Policy Design for Off-Policy Evaluation
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Anomaly detection uncovers refinery LP errors and opportunities
From Data to Action: Accelerating Refinery Optimization with AI
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Monetary policy affects finance and telecom stocks but not manufacturing in ex-Yugoslavia
The Asset Price Channel of Monetary Policy: Evidence from Regional Stock-Market Developments in the Successor States of Former Yugoslavia
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Bayesian model cuts brain deviation map error by 45-54%
A Bayesian Longitudinal Spatial Normative Model for Individualized Brain Deviation Mapping
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Long-run variance thresholding recovers sparse covariances in time series
Adaptive Long-Run Variance Thresholding for Sparse Covariance Estimation in High-Dimensional Time Series
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Kernel aggregation detects network changes without knowing the pattern
KAP-CPD: Kernel Aggregation for Change-Point Detection in Dynamic Networks
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Shared-bound assumption enables sparse precision estimates for interval data
Estimating Precision Matrices for High-Dimensional Interval-Valued Data
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Row sums on Gram overlaps recover inliers at sqrt(n) scale
Inlier Recovery for Robust Registration via Gram-Matrix Overlap
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SPADE gains subleading edge over direct imaging for aligned sources
Singular Asymptotics of SPADE in Quantum Source Discrimination
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Nonconcurrent data reduces variance in platform trial estimates
Robust and Data-Adaptive Integration of Nonconcurrent Data in Platform Trials via Gaussian Processes
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MCMC method gives reliable uncertainty for fMRI brain connectivity
An MCMC-Based Method for Dynamic Causal Modeling of Effective Connectivity in Functional MRI
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Penalized deep networks equal MAP estimates under hierarchical priors
Wahkon: A Statistically Principled Deep RKHS Superposition Network
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The paper proves that predictive processes built from the classic kernel density…
Predictive Inference via Kernel Density Estimates
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Infer mobility group sizes from summed sensor counts
Macroscopic Activity-Based Modeling of Urban Active Mobility
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Adaptive cross-validation yields reliable spatial map accuracy
Moving beyond spatial and random cross-validation in environmental modelling: a call for prediction-domain adaptive evaluation
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Power asymmetry identifies causal direction from data pairs
Causal Discovery via Statistical Power (CDSP)
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Trajectories identify stochastic parameters uniquely
Structural identifiability of partially-observed stochastic processes: from single-particle trajectories to total particle density data
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LLMs show input-specific calibration failures missed by global checks
Discovery of Hidden Miscalibration Regimes
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Median distances yield covariance-free depth function
Median Radial Function: A Robust, Covariance-Free Framework and Applications
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Conditions recover ATE from selection-biased samples
Towards a holistic understanding of Selection Bias for Causal Effect Identification
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Covariate-dependent weights make model averaging asymptotically optimal
Combining pre-trained models via localized model averaging
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Stabilised weights speed up recursive likelihood inference
Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods
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Simulations create handbook for picking causal methods on binary data
Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
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Folding test mislabels some multimodal mixtures as unimodal
A Note on the Folding Test of Unimodality: limitation and improved alternative
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Model averaging damps double-descent risk peak
Double Descent and Emergent Smoothing in Model Averaging Prediction
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Entropy rises with missing context in LLMs
LLMs as Implicit Imputers: Uncertainty Should Scale with Missing Information
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Local K-function tests find mark-location links in point patterns
Testing the Structural Properties of Marked Point Processes Using Local Inhomogeneous Mark-Weighted K-Functions
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Variance modeling stabilizes Michaelis-Menten estimates
Variance-Aware Estimation and Inference for Michaelis--Menten Models with Heteroscedastic Errors and Clustered Measurements
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Pre-trained net selects kernels for high-dim density estimates
Adaptive Kernel Density Estimation with Pre-training
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Reference pool of failures controls AI release errors on hard tasks
When Should an AI Workflow Release? Always-Valid Inference for Black-Box Generate-Verify Systems
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Bayesian model represents brain networks as mixtures of latent templates
A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
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The paper develops a penalized optimization method that jointly detects change points and…
Change-point detection in variance-covariance matrix
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IV estimand equals new DATE under stochastic potential outcomes
Never Too LATE: A Fully Stochastic Update to the Potential Outcome Framework
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Fusion penalty groups non-adjacent regions by income-COPD links
Linking COPD Prevalence with Income Distribution: A Spatial Heterogeneous Compositional Regression via Geographically Weighted Penalized Approach
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Outcome delays inflate sample sizes in re-estimation trials
Evaluating the impact of outcome delay on the efficiency of sample size re-estimation
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Bias from thresholding predicted by residual score variance
When to Trust Confidence Thresholding: Calibration Diagnostics for Pseudo-Labelled Regression
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Longer blocks reduce efficiency in block maxima models
How long should a block be?
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ABC and Gini scores risk dishonest model rankings for point predictions
Measures of predictive accuracy, miscalibration and discrimination
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Surrogates estimate time-dependent failure probabilities efficiently
Time-variant reliability using time-dependent surrogate models
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Mixed-frequency synthetic controls reach optimal prediction error
Synthetic Control Method with Mixed Frequency Data
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Prior evidence boosts power in sequential multiple testing
Informative Simultaneous Confidence Intervals for Graphical Group Sequential Test Procedures
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Bayesian model links realized volatility to prices for better forecasts
Bayesian Dynamic Modeling of Realized Volatility in Financial Asset Price Forecasting
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Laplacian-P-splines yield fast Gamma frailty fits for clustered survival
Laplacian-P-splines for shared Gamma frailty models applied to clustered right-censored time-to-event data
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No single test dominates power across multivariate problems
Power Studies For Two-Sample and Goodness-of-Fit Methods For Multivariate Data
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Bayesian mixture clusters mixed health outcomes with low-rank regressions
Bayesian low-rank latent-cluster regression for mixed health outcomes
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Counterfactual probability identifies root causes from data
Probability of Root Cause: A Counterfactual Definition and Its Identification
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Nontargeted HPV infections isolate vaccine direct immune effect
Using NonTargeted HPV Infections in Studies with Risk Compensation