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1584 papers in stat.ME · page 8
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Bayesian prior enforces stationarity and sparsity in VAR processes
Bayesian inference of sparsity in stable vector autoregressive processes
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Decomposing coefficients by graph nodes yields stable doubly sparse regression
Proximal Projection for Doubly Sparse Regularized Models
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High-dimensional statistics connects to optimization and random matrices
High-Dimensional Statistics: Reflections on Progress and Open Problems
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Multi-judge method splits consensus from sensitivities and disagreements
Heterogeneous Judge-Aware Ranking with Sensitivity, Disagreement, and Confidence
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Monitoring processes test parameter constancy over time
Tests for constancy of model parameters Over time
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ITE prediction sets cannot be both distribution-free and non-trivial
Impossibility of Distribution-Free Predictive Inference for Individual Treatment Effects
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Diffusion on incidence matrices generates better hypergraphs
Hypergraph Generation via Structured Stochastic Diffusion
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Cure models work only after curve and judgment checks
A Tutorial for Evaluating Cure Model Appropriateness
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Cure models require prior checks via clinical judgment and plots
A Tutorial for Evaluating Cure Model Appropriateness
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U-statistic test checks high-dim white noise without independence
Tests for white noise via asymptotically independent U-statistics in high-dimensions
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Recentering moments yields efficient GMM under misspecification
Efficient GMM and Weighting Matrix under Misspecification
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Directed network model eliminates fake SST links across land
A Convolution Process for Sea Surface Temperature Hot-Spot Identification in the Mediterranean Sea
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Paired imputation keeps causal tests calibrated with missing data
PAIR-CI: Calibrated Conditional Independence Testing for Causal Discovery with Incomplete Data
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ICS anonymization resists outliers better than PCA-based SA
Data anonymization in the presence of outliers via invariant coordinate selection
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Antisymmetric indices detect genuine high-order brain frequency couplings
A Generalized Framework of Antisymmetric Polyspectral Indices for Identifying High-Order Neural Interactions
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Generic kernels place models transversely to degeneracy loci
Transversality and Geometric Regularisation in Distributional Statistical Models
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An augmented transfer regression estimator recovers regression parameters when covariates…
Augmented transfer regression learning for completely missing covariates
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Penalized KLIC curbs over-selection of complex GMM models in longitudinal data
Penalized KLIC Model Selection for the Generalized Method of Moments in Longitudinal Data with Time-Dependent Covariates
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HIMCE cuts imputation error and halves MICE runtime in high dimensions
HIMCE: High-dimensional multiple imputation via covariance-mode updating for neuroimaging and spatiotemporal blocks
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Non-monotone triangular models identify all counterfactuals
Counterfactual identifiability beyond global monotonicity: non-monotone triangular structural causal models
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Mean independence identifies source nodes generically
Causal discovery under mean independence and linearity
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Zero-inflated beta mixture improves microbiome mediation estimates
A Zero-Inflated Beta Mixture Model for Marginal Mediation Analysis with Compositional Microbiome Mediators
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Neural pullback recovers entropic OT on curved spaces
Entropic Riemannian Neural Optimal Transport
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Classification step shortens conformal sets for zero-inflated data
Classification-Powered Conformal Inference for Zero-inflated Outcomes
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Bayesian regression recovers hypergraphs from noisy scarce dynamics
Bayesian hypergraph inference from scarce and noisy dynamical observations
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BOIN extensions handle selected dose combinations in phase I trials
BOIN Designs for Dose Escalation With Selected Dose Combinations in Oncology Phase I Trials
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Multivariate model fits correlated PM2.5 series
A multivariate Birnbaum-Saunders autoregressive moving average model with application to air pollution concentration data
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Stagewise greedy pricing hits optimal regret in semiparametric demand
Optimal Semiparametric Dynamic Pricing with Feature Diversity
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Simultaneous bands give valid joint inference on forecast skill scores
Uncertainty Quantification in Forecast Comparisons
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Multiplicative model IDs ATT with imperfect quasi-instruments
The Multiplicative Quasi-Instrumental Variable Model
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Multiplicative model identifies ATT with imperfect instruments
The Multiplicative Quasi-Instrumental Variable Model
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RISE-Meta applies a nonparametric single-trial surrogacy method to high-dimensional data
Meta-Analysis of High-Dimensional Surrogate Markers
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Distributed surrogate matches pooled rank regression on split data
Sparse Rank Regression for Restricted-Access Economic Data
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Standard survey formulas deliver valid SEs for modern DiD estimators
Design-Based Variance Estimation for Modern Heterogeneity-Robust Difference-in-Differences Estimators
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Survey design corrects coverage in modern DiD standard errors
Design-Based Variance Estimation for Modern Heterogeneity-Robust Difference-in-Differences Estimators
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Minimizing error when filling missing values creates bias
Predicting missing values: A good idea?
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Change points in detector scores segment human-LLM text
Segmenting Human-LLM Co-authored Text via Change Point Detection
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Joint amortized VI improves Bayesian predictive accuracy
Amortized Variational Inference for Joint Posterior and Predictive Distributions in Bayesian Uncertainty Quantification
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Shrinking partitions yield asymptotic normality for jump process rates
Local estimation of transition rates of jump processes through discretization
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Covariance decomposition scales multi-fidelity spatio-temporal GPs
A new framework for non-stationary spatio-temporal data fusion of multi-fidelity models
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MFPCA extended to handle variable observation domains
Variable Domain Multivariate Functional Principal Component Analysis
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Copulas link strain dependencies in multi-type epidemics
Bayesian copula-based modelling for multi-type spatio-temporal epidemic data
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Gamma smoothing yields optimal rates and shorter EB intervals for Poisson data
Poisson Empirical Bayes via Gamma-Smoothed Nonparametric Maximum Likelihood
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High-dim elliptical tests check radius-direction independence
High-Dimensional Tests for Elliptical Models via Radial--Directional Dependence
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Complex trials control false positives but leave effect estimates hard to communicate
Communicating results in trials with multiple hypotheses or adaptive design features
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Optimization finds group sequential boundaries that stop sooner
A General Framework for Optimal Group Sequential Testing via Mixed-Integer Linear Programming
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Mixed-integer program designs faster group sequential tests
A General Framework for Optimal Group Sequential Testing via Mixed-Integer Linear Programming
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Nonparametric Hawkes model tops prediction for clustered extremes
Bayesian Modelling of Nonstationary Extreme Values Using a Nonparametric Hawkes Process
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Joint model yields unbiased DTR survival estimates with efficiency gains
A joint longitudinal-survival framework for dynamic treatment regimen evaluation in sequential multiple assignment randomized trials
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Population covariates with survey data identify small-area treatment effects
Causal Small Area Estimation with Survey-only Covariates