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1584 papers in stat.ME · page 1
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Bayesian models split global and local errors in health data validation
Joint Bayesian models for validating spatial health-event databases against a gold standard: separating global and local discrepancies
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Rank correlation yields consistent sensitivity estimators
Global Sensitivity Analysis: a novel generation of mighty estimators based on rank statistics
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Joint model keeps marginal treatment effects interpretable while gaining efficiency
Joint Estimation of Marginal and Heterogeneous Treatment Effects
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Closed forms give exact C-statistic sample sizes 148000 times faster
A note on closed-form solutions for estimating sample size when externally validating a binary prediction model based on $C$-statistic precision
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Frame omissions cause most failures in automated quantitative work
The frame problem in quantitative practice: ontological uncertainty and epistemic humility in an age of automated inference
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Moment approximation detects changes in heavy-tailed data
Generalized Stochastic Approximation of the Log-Likelihood Ratio for Robust Sequential Change-Point Detection
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GRR estimator matches composite quantile regression variance
Generalized Rank Regression
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Dead time imposes provable limits on event detection accuracy
Fundamental Bounds and Efficient Estimation for Dead-Time-Constrained Event Detection, with Application to Single-Photon Lidar
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DiVE pools median differences from medians and sample sizes alone
A Direct Variance Estimation (DiVE) for Meta-Analysis of Median Differences
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Wishart model infers cluster count for covariance matrices
Mixture-of-Finite-Mixtures Wishart Model for Clustering Covariance Matrices with an Application to Brain Functional Connectivity
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Gradient descent recovers true similarity metric from triplets
Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models
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LLM Sparsity Prior lets spike-and-slab models ignore bad LLM weights
LLM Sparsity Prior for Robust Feature Selection
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Bayesian package replaces point estimates in knowledge tracing
StanBKT: Rethinking Parameter Estimation in Bayesian Knowledge Tracing
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Discrepancy adjustment yields better MFMC estimators with few pilots
Sample correlation adjustments for robust Multi-fidelity Monte Carlo under limited pilot sampling
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Diffusion denoising score matching keeps bounds stable as modes separate
Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation
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Truncation in matrix priors favors sparser structures
Positive-definiteness in separable priors: effects on prior interpretability and inference
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New model enables inference on spatial dependence in functional data
A new class of functional conditional autoregressive models
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Kunchenko polynomials extend Volterra series for non-Gaussian estimation
From Volterra Series to Kunchenko Stochastic Polynomials: Half a Century of Non-Gaussian Estimation Methodology
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Reassortant H5N1 lineages predict higher Canadian wildlife detections
Spatiotemporal dynamics and ecological risk factors of highly pathogenic avian influenza A(H5N1) in Canadian wildlife: A One Health surveillance analysis
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Sampler splits chained Markov models into tree stages
Chained Markov melding using divide and conquer sequential Monte Carlo
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Bayesian nonparametrics is needed and learnable for real data work
Bayesian Nonparametrics: Principles and Practice
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Two-stage random projections improve functional data clustering
Two-stage Ensemble Clustering of Functional Data Using Random Projections
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Hawkes model finds epilepsy clusters average 2.2 seizures
A Mixed Self-Exciting Process to Model Epileptic Seizures
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Kernel test detects nonlinear serial dependence in time series
Testing for Serial Independence via Auto Hilbert-Schmidt Independence Criterion
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Calibrated oracle policy boosts power in conformal prediction selection
Selecting Informative Conformal Prediction Sets with an Optimized FCR-Controlled Approach
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CausalGuard weights candidate graphs for covered causal effect estimates
CausalGuard: Conformal Inference under Graph Uncertainty
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Police force racial gaps survive stop bias but vanish with small encounter bias
Sequential Sensitivity Analysis for Multiple Assumptions: A Framework for Understanding Racial Disparity in Police Use of Force
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NYPD analysis: force disparity fragile to encounter bias
Sequential Sensitivity Analysis for Multiple Assumptions: A Framework for Understanding Racial Disparity in Police Use of Force
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M-estimators recover trend and seasonality in point processes
Trend and seasonality estimation for point-process time series
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Block independence lifts power in high-dimensional mean tests
Block-Independent Likelihood Ratio Testing for High-Dimensional Mean Vectors with Applications to Matrix-Variate Data
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Equal-variance structural VARs identified only up to orthogonal transforms and scale
Causal Discovery in Structural VAR Models Under Equal Noise Variance
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Symbolic search recovers exact discrete distribution formulas
Symbolic Density Estimation for Discrete Distributions
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Estimator gives valid vaccine effectiveness from TND data with gaps
Targeted maximum likelihood estimation of vaccine effectiveness and immune correlates in test-negative design studies with missing data
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SPICE engine scales explanatory IRT to sparse adaptive data
A Scalable Parametric Item Calibration Engine (SPICE) for Explanatory IRT with Sparse Data
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Imputation method yields consistent Cox estimates with diverging covariates
Substantive-Model-Compatible Multiple Imputation for Cox Regression with a Diverging Number of Covariates
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Similarity-driven proposals guide MCMC on discrete spaces
Similarity-Driven Proposals for MCMC Algorithms on Discrete Spaces
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Direct estimation stabilizes single-index models with dynamic boundaries
Stable direct estimation for GPLSIAMs using P-splines with dynamically updated boundaries
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Conformal sets identify root-cause stream with finite-sample coverage
Distribution-free root cause analysis
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Randomization fixes simulator shift but reachability gaps persist
Mind the Sim-to-Real Gap & Think Like a Scientist
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DDEVD derives optimal bandwidth from explicit MISE
Data driven extreme value distribution estimation: Derivation of the Mean Integrated Squared Error, optimal bandwidth selection and stability conditions
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Nearly balanced designs minimize leading word-length terms
TCARD: Nearly Balanced Two-Level Designs with Treatment Cardinality Constraints with an Application to LLM Prompt Engineering
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Dysfunctional family rule merges expert Moon crater lists
Clustering Craters on the Moon with Dysfunctional Families
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Variational framework fits stream network models to censored data
The Bayesian Gaussian Process Latent Variable Model for Spatio-Temporal Stream Networks
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Nonparametric limma controls FDR without correct trend
How does limma-trend work? An empirical partially Bayes perspective
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Markov chain model handles absorbing lists in population estimates
A continuous-time Markov chain framework for population size estimation from multi-list data: accounting for absorbing lists and asymmetric interactions
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Laplace approximations work for quantile regression without smoothing
Laplace Approximations for Mixed-Effects and Gaussian Process Quantile Regression
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Diffusion link lets GPs condition on text or physics
Conditioning Gaussian Processes on Almost Anything
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Cluster graphs recover distributions from grouped missing data
Missing data and cluster graphs: cluster-level missingness vs variable-level missingness
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Cauchy combination delivers closed-form jump test for high-frequency data
Adaptive Test for Jump
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Cauchy rule fuses two jump statistics into one adaptive test
Adaptive Test for Jump