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Every paper Pith has read. Search by title, abstract, or pith.
1584 papers in stat.ME · page 12
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Milestone framework identifies early risks alongside late benefits
A Milestone-Based Framework for Characterizing Time-Varying Treatment Effects in Immunotherapy Trials
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Divergence weights boost model averaging in small samples
A Divergence-Based Method for Weighting and Averaging Model Predictions
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Bi-Gaussian mirrors control FDR without symmetry or full distribution knowledge
Bi-Gaussian Mirrors for False Discovery Rate Control
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New methods adapt DOOR to cluster randomized trials
On Cluster Randomized Trials with the Desirability of Outcome Ranking (DOOR) Endpoints
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Jackknife delivers conservative variance estimates under interference
Neyman Jackknife: Design-Based Variance Estimation for Causal Inference under Interference
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This paper develops blocked Gibbs sampling methods to efficiently update extended object…
Efficient Implementations of Extended Object PMBM Filters with Blocked Gibbs Sampling
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Generator weights from triangular inversion characterize signed tail compatibility
A Geometric Witness Framework for Signed Multivariate Tail-Dependence Compatibility: Asymptotic Structure and Finite-Threshold Synthesis
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New algorithm selects subdata approaching information optimum
Nearly Optimal Subdata Selection
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Bayesian method separates causal cell signals from confounding
MR-CCC: Bayesian Mendelian Randomization for Causal Cell--Cell Communication
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Synthetic data preserves predictions but warps treatment effects
Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities
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Generative models keep predictions accurate but distort causal effects
Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities
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SMART trials show high attrition but limited missing-data methods
A Review of Methods and Practices for Missing Data in Sequential Multiple Assignment Randomized Trials (SMARTs): An Ancillary Study of a Scoping Review
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Bayesian smoothing recovers sharp change-plane boundaries
Bayesian change-plane regression
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Shared bases recovered from summaries enable private meta-prediction of functions
Privacy-preserving Meta-analysis through Low-Rank Basis Hunting
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Sequence analysis clusters EMA stress profiles better than averages
Beyond the mean: Sequence analysis methods for clustering ordinal EMA data
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This paper introduces weak moment methods for statistical inference by representing…
Weak Moment Methods for Statistical Inference: with an Application to Robust Estimation
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Tilting identifies causal effects of pollution mixtures
Multivariate incremental effects for continuous treatments: Studying the health effects of environmental mixtures
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Phase signals in density of states pinpoint optimal tempered posteriors
Using Statistical Mechanics to Improve Real-World Bayesian Inference: A New Method Combining Tempered Posteriors and Wang-Landau Sampling
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Markov network equals Bayesian posterior for structural states
Probabilistic Graphical Model using Graph Neural Networks for Bayesian Inversion of Discrete Structural Component States
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Corrected scores restore consistency to MIDAS models with measurement error
Estimation of MIDAS Regressions with Errors-in-the-Variables
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Decomposed cross-validation ranks small area estimators reliably
Design-Based Cross-Validation for Comparing Small Area Estimators
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Cross-validation split separates bias from bounds in small area models
Design-Based Cross-Validation for Comparing Small Area Estimators
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Diseased-case correlation raises rule-out ROC AUC
A theory of ROC analysis of rule-out and rule-in diagnostics with applications to mammography data
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Anchoring at posterior mean speeds variational inference for sequential models with random
Anchored Variational Inference for Personalized Sequential Latent-State Models
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Latent model quantifies human influence on US heat extremes
Estimating Causal Attribution of Anthropogenic Forcing on High-Temperature Extremes Using a Latent Gaussian Spatial Model
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Rerandomization lowers variance of Kaplan-Meier survival estimators
Asymptotic theory of rerandomization for survival analysis
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Adaptive rotations make MCMC samplers work on any structural model
MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification
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Bayesian model decomposes area income distributions into shared latent factors
Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
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Weighted entropy yields Rayleigh distribution test
Weighted Cumulative Residual Mathai-Haubold Entropy
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Bivariate model links cure fractions and survival times via frailty and copula
A bivariate cure copula model with zero-inflated gamma frailty: dependence in both cure fractions and survival times
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One-way attention blocks outcome leakage in causal transformers
MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback
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Importance sampling fixes tiny p-value estimates in all-subset meta-analysis
Using Importance Sampling to Estimate $p$-values in All-Subset Meta-Analysis, with Applications to Single-Cell eQTL Mapping
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Mixture model draws non-linear cluster boundaries without labels
Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data
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Derived distributions improve Fay-Herriot intervals for complex surveys
Sampling distributions for complex design variance estimators in a Fay-Herriot model
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Joint model estimates repeated treatment effects on measures and events
Estimation of Time-Varying Treatment Effects in a Joint Model for Longitudinal and Recurrent Event Outcomes in Mobile Health Data
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Kendall adaptations test independence with missing high-dim data
Testing independence in the presence of missing data: high-dimensional case
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Review traces agreement measures for continuous data from plots to spatial models
Agreement coefficients for continuous variables: A review
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Max entropy yields exponential families without optimization
From Physics to Statistics: A Simple Route to Exponential Families via Maximum Entropy
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Fingertip accelerometers track breathing during sleep
Fingertip Micro-Motion as a Source of Respiratory Information During Sleep Using Triaxial Accelerometers
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Stacking four DLNMs identifies pollutant-mixture links to mortality
A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology
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Design infers object type from physical data and requirements
Design, Cups, and Blankets. A Free-Energy-Principle-Based Approach to Product Design
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Bayesian borrowing controls false positives better than pooling
Robust Bayesian Sequential Borrowing for Multi-Population Clinical Programmes
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Super Learner gains finite-sample coverage via conformal prediction
Conformalized Super Learner
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Bernstein polynomials estimate any valid isotropic covariance in infinite dimensions
Nonparametric Estimation of Isotropic Covariance Function
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Best model not always best time to stop in clinical prediction
Optimal Stopping in Sequential Clinical Prediction
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Zero-inflated Poisson tensor model separates structural from technical zeros
Zero-inflated modeling with smoothing on counting tensors
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R package finds significance regions in three-way interactions
int3ract: Johnson-Neyman Technique and its Three-Way Extension for Frequentist and Bayesian Models in R
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Hierarchical model separates subject and time effects for longitudinal imputation
Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
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Projection yields exact decomposition of NMA into study contributions
Contrast-Space Projection for Network Meta-Analysis: An Exact and Invariant Study-Based Decomposition of Direct and Indirect Contributions
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Generalized Tweedie identity handles unequal variances in empirical Bayes
Nonparametric f-Modeling for Empirical Bayes Inference with Unequal and Unknown Variances