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Every paper Pith has read. Search by title, abstract, or pith.
1584 papers in stat.ME · page 13
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Mixture e-processes yield power-one tests for stochastic dominance
Betting on Bets: Anytime-Valid Tests for Stochastic Dominance
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FPCA loses all signal once functional data crosses a roughness threshold
Does PCA Work for Rough Functional Data?
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Diffusion models use known graphs for interventional sampling
Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference
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Independent mechanisms identify effects conditional on post-treatment events
Effects conditional on post-treatment events generated by independent mechanisms
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Criterion chooses linear hazard model by lowest estimated MSE for cumulative hazard
Focused Information Criteria for the Linear Hazard Regression Model
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New MR estimator stays consistent across different populations
A Robust Framework for Two-Sample Mendelian Randomization under Population Heterogeneity
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New FMECA framework flags risks in AI clinical summaries
Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content
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Callback data support test for equal distributions with nonignorable missingness
A semiparametric two-sample homogeneity test with nonignorable nonresponse using callback data
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Recursive Riesz form unifies efficient TMLE for causal targets
A Riesz Representer Perspective on Targeted Learning
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Constrained e-variables built by transforming unconstrained optimum
Optimal e-variables under constraints
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Merged models align sample size planning with IPTW variance
Estimator-Aligned Prospective Sample Size Determination for Designs Using Inverse Probability of Treatment Weighting
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Concurrent floods and droughts become more likely in Danube by 2100
Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
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Tail asymmetry identifies causal directions in extremes
Causal Discovery in Multivariate Extremes via Tail Asymmetry
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One model fit recovers full Bayes factor sensitivity curve
Efficient Bayes Factor Sensitivity Analysis via Posterior Density Ratios
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Multicalibration keeps prevalence estimates unbiased under shift
Unbiased Prevalence Estimation with Multicalibrated LLMs
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One scalar identifies full treatment effect distribution
Nonparametric Point Identification of Treatment Effect Distributions via Rank Stickiness
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Asymmetric priors let users set expected cluster count in binary mixtures
Informed Asymmetric Dirichlet Priors for Multivariate Bernoulli Mixture Models
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Bootstrap method selects bandwidths for circular regression of angular errors
Analyzing directional errors in spatial orientation using nonparametric circular regression with mixed covariates
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Privacy budgets of ε≤1 wipe out 90% of significant Cox predictors
Benchmarking the Utility of Privacy-Preserving Cox Regression Under Data-Driven Clipping Bounds: A Multi-Dataset Simulation Study
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Calibrating predictions cuts variance in semisupervised estimates
Calibeating Prediction-Powered Inference
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Missingness patterns in multimodal ICU data improve treatment policies
Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness
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New test checks logistic propensity scores under nonignorable missing data
A goodness-of-fit test for the logistic propensity score model under nonignorable missing data
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Single observation tunes product-of-experts diffusion prior
Optimizing Diffusion Priors in Image Reconstruction from a Single Observation
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Method gives probability surrogate will mislead on treatment effect
A Functional-Class Meta-Analytic Framework for Quantifying Surrogate Resilience
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DC algorithm reaches global modes in Bayesian variable selection
Revisiting Bayesian Variable Selection via Optimization
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Quasi-likelihood nearly matches full ML in Markov chains
ML, PL, QL in Markov chain models
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Bilinear form turns ADMM proximal step into exact projection
Solving Minimax Problems with Bilinear Objectives with ADMM
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Latent build-up phase detectable before order-book stress
Early Detection of Latent Microstructure Regimes in Limit Order Books
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Ricci curvature governs Renyi privacy bounds on manifolds
Geometric Renyi Differential Privacy: Ricci Curvature Characterized by Heat Diffusion Mechanisms
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R package adds random effects to Bayesian profile regression
ProfileGLMM: a R Package Extending Bayesian Profile Regression using Generalised Linear Mixed Models
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James-Stein estimator beats internal OLS for subgroup CATEs
Data Integration for Estimating Subgroup-Specific Conditional Average Treatment Effects (CATEs) Using Coarsened External Information in Randomized Trials
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Generalized Cash statistic folds systematics into Poisson fits
Review: A new method for estimation and use of systematic errors in Poisson regression
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A new weighted least squares estimator stays consistent for causal effects with missing…
Double Robust Weighted Regression with Missing Confounders
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Progression data predicts when survival will mature in cancer trials
Dynamic Prediction of the Target Survival Time in Metastatic Solid Tumor Cancer Clinical Trials
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One bivariate model amortizes vine copula fitting in high dimensions
Amortized Vine Copulas for High-Dimensional Density and Information Estimation
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Hilbert space approximation makes IMSE closed-form
Fast and Provably Accurate Sequential Designs using Hilbert Space Gaussian Processes
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Shared-design zero-inflated models are identifiable up to component swap
Zero-Inflated Logistic Regression Models with Shared Design: Identifiability, Existence of Estimates, and a Relabeling Rule
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Geometric tempering yields exponential convergence except in Fisher-Rao flows
Properties and limitations of geometric tempering for gradient flow dynamics
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Zero-inflated negative binomial model improves weighted network clustering
Bayesian Modeling of the Stochastic Block Model for Weighted Network Data with Zero-Inflated Negative Binomial Distribution
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Spectral transfer reaches near-minimax rates in multi-task regression
SMART: A Spectral Transfer Approach to Multi-Task Learning
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Vertex misalignment impairs network changepoint detection only in joint cases
Vertex misalignment and changepoint localization in network time series
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Clever-covariate targeting outperforms loss-weighted in TMLE for ATE
Investigating Targeting Strategies and Truncation in TMLE for the Average Treatment Effect under Practical Positivity Violations
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Nonparametric test for constant parameters has tractable null limit
A general nonparametric framework for testing hypotheses about function-valued parameters
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Weighted p-value ordering boosts power in Holm multiple testing
Weighted Holm Procedures: Theory, Properties, and Recommendations
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New model pools every threshold from continuous diagnostic tests
Meta-analysis of networks of diagnostic tests with binary and continuous results
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External comparators built via transportability in means or effect measures
Constructing external comparator groups via transportability in mean or in effect measure
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Nested cones yield low-dimensional size-shape scores
Principal Nested Cones
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Grouping Wald test validates mixed logistic models with slopes
A Goodness-of-Fit Test for Mixed-Effects Logistic Regression
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Prior-assisted stopping rule raises power in FDR splitting
PRADAS: PRior-Assisted DAta Splitting for False Discovery Rate Control
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NN-graph cross-edges test high-dim MGGD fit
A Nonparametric Goodness-of-Fit Test for High-Dimensional Generalized Gaussian Distributions via Nearest-Neighbor Graphs