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Every paper Pith has read. Search by title, abstract, or pith.
1584 papers in stat.ME · page 3
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Sampling error fades before full population coverage
Finite Population Sampling as n to N: Empirical Evidence for the Transition from Inference to Accuracy
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FedNewton matches SGD accuracy with fewer rounds under privacy
Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning
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Self-supervised method calibrates uncertainty without ground truth data
Self-Supervised Conformal Prediction with Equivariant Bootstrapping for Image Uncertainty Quantification
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Weighted DAG aggregation stabilizes causal discovery
Stable Causal Discovery via Directed Acyclic Graph Aggregation
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Random spanning trees reduce contrast loss in image priors
Random spanning tree Markov random field priors for Bayesian inverse problems in imaging
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Two frontal electrodes classify sleep into four stages
OSSMM: An Open-Source Sleep Monitor and Modulator
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Log-ratio transform powers periodic splines for circular densities
Compositional Periodic Spline Approximation for Circular Density Data in Bayes Spaces
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Formula approximates DoF for tree-structured varying coefficient models
A tool to determine the degrees of freedom in tree-structured varying coefficient models
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Copula models improve diagnostic test meta-analysis
1-truncated C-vine copula mixed models for network meta-analysis of multiple diagnostic tests
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n-dependent sampler matches minimax rates for kernel quadrature
Optimal Sampling for Kernel Quadrature on Unbounded Domains
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Block permutation test holds significance level for grid isotropy
A robust nonparametric test for spatial isotropy in lattice data
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C-SymmPI achieves near-conditional coverage for symmetric structured data
Conditional Predictive Inference for General Structured Data with Group Symmetries
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Multivariate reconciliation improves accuracy for hierarchical forecasts
Multivariate reconciliation for hierarchical time series
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Debiased ML recovers continuous treatment effects in panel data
Double/Debiased Machine Learning for Continuous Treatment Effects in Panel Data with Endogeneity
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Wavelets represent time-varying thresholds in regime models
Wavelet Based Time Series Models with Time-Varying Thresholds
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s-step self-distillation optimizes shrinkage for s-spike covariances
Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models
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Birth-death processes generate inflation-deflation count distributions
Stationary birth-death processes generating inflation-deflation distributions: Avoiding the issue of dominance
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Test compares two categorical Gini correlations for predictor importance
Comparing Two Categorical Gini Correlations with Applications to Classification Problems
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Online method gives coverage bounds for panel data forecasts
Online Conformal Prediction for Non-Exchangeable Panel Data
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Stationarity transforms improve forecasts only 18% of the time
Do Stationarity Transformations Actually Improve Time Series Forecasts? A Controlled Experimental Evaluation
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Starshaped model fits early attrition then stability in teacher retention
Starshaped Mean Residual Life Models for Non-Monotonic Survival Data: A Bayesian PMRL Regression Framework with Applications to Teacher Retention
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Residual collapse equates ordered POVM realizations by surviving effects
Ordered POVMs and Residual Collapse
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Adjustment lets Poisson and binomial pairs show negative correlation
Modelling pairs of Poissons and binomials with negative correlation
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Julia package checks if ODE parameters are uniquely identifiable
A Tutorial on Symbolic Structural Identifiability Analysis of ODE Models in Julia
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Kernel optimization controls FDR across structured hypotheses
Controlling False Discovery in Arbitrarily Structured Hypothesis Spaces via Reproducing Kernels
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Brownian sheet tests check multivariate normality and symmetry
Multivariate EDF tests for uniformity, normality,spherical and elliptical symetry, and independence based on a Brownian sheet deconstruction
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FORSS gives accurate power formulas for win stats on hierarchical endpoints
The FORSS Framework for Sample Size and Power Calculations With Win Statistics for Hierarchical Endpoints
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Spectral sparsification keeps MTP2 graphs accurate while making them sparse
Learning Gaussian Graphical Models under Total Positivity via Spectral Graph Sparsification
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Multi-task estimator achieves optimal rates with weaker assumptions
Multi-task Linear Regression without Eigenvalue Lower Bounds: Adaptivity, Robustness, and Safety
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Symmetry selection improves high-dimensional covariance shrinkage
Symmetry-Aware Convex Shrinkage for High-Dimensional Covariance Estimation
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SWIGs encode both observed and interventional distributions for causal ID
Single World Intervention Graphs as Distributions: A Framework for Causal Identification
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Private tests keep finite-sample power in survival analysis
Differentially private hypothesis testing in survival analysis
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Lamperti splitting yields convergent estimators for Hölder SDEs
Splitting schemes and estimators for stochastic differential equations with H\"older multiplicative noise
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Four questions guide checks for regional differences in global trials
A Workflow for Evaluating Regional Treatment Effect Heterogeneity in Multi-Regional Clinical Trials
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Heavy tails make standard predictive tests unreliable
Heavy Tails and Predictive Ability Testing
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DM test rejects true nulls up to 70% when errors have heavy tails
Heavy Tails and Predictive Ability Testing
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New method cuts fractional-polynomial variance by closed-form factor
Efficient frequentist fractional polynomials for skewed dose-response and survival data: a variance-reducing alternative to OLS-FP
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Stable-blanket predictors match or beat causal parents after interventions
Prediction-Intervention Games and Invariant Sets
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NeuroMAS models multi-agent LLMs as trainable neural networks
NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning
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Direct warping of tract endpoints improves cortical alignment
Diffeomorphic Cortical Alignment via Direct Warping of Streamline Endpoints
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External probabilities correct misclassification bias in competing risks
Semiparametric Regression for Misclassified Competing Risks Data
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Divide & Conquer model refines DAH for better trial sample sizes
Beyond the Composite: Enhancing Trial Analysis through a Divide & Conquer Approach to 'Days Alive and at Home': Insights from the NOTACS trial
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Split model fits days-alive-and-home data better
Beyond the Composite: Enhancing Trial Analysis through a Divide & Conquer Approach to 'Days Alive and at Home': Insights from the NOTACS trial
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FRESH re-calibrates patient models to match population aggregates geometrically
FRESH: Information-Geometric Calibration of Patient-Level Models to Aggregate Evidence
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Shared reference samples distort empirical p-value uniformity
Why Empirical p-Values Are Not Uniform: Reference Samples, Dependence, and PIT Backtesting
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Weights fix bias in paired outcome associations under informative cluster size
Estimating Association Between Paired Outcomes in Clustered Data with Informative Subgroup Size
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Weights adjust paired outcome associations under informative sizes
Estimating Association Between Paired Outcomes in Clustered Data with Informative Subgroup Size
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REX-SUB picks subsamples that cut spatial prediction errors
REX-SUB: A Scalable Subsampling Strategy for Modeling Large Spatial Datasets
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Quasi-Bayesian method smooths LP-IV responses with penalty
Quasi-Bayesian Local Projection Instrumental-Variables Method: Application to Renewable Energy and Electricity Prices
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Smoothed SVM allows debiased inference in high dimensions
Statistical Inference for Smoothed Support Vector Machines in High Dimensions: From Offline to Online Data