archive
Every paper Pith has read. Search by title, abstract, or pith.
60 papers in stat.OT · page 1
-
Zero imputation in count data needs discrete adaptation
A critical comparison of handling zeros in high-dimensional compositional count data
-
Copulas added to inference text at same precision level
An Introduction to Copulas: a Complement
-
Multiverse analysis shows social science results vary with method choices
Making Uncertainty Visible: Multiverse Analysis for Robust Computational Social Science
-
Entropy rate sets optimal steps for low-budget flow samplers
Entropy Across the Bridge: Conditional-Marginal Discretization for Flow and Schr\"odinger Samplers
-
Detectors for subspace signals in nonzero-mean clutter lose one DOF
Adaptive Subspace Signal Detection and Performance Analysis in Nonzero-Mean Clutter
-
Reform calls for p-value testing mix useful ideas with overlooked limits
Statistical Significance Revisited
-
TabCF turns tabular models into fast control function estimators
TabCF: Distributional Control Function Estimation with Tabular Foundation Models
-
Bayesian networks cut tail risks in express delivery design
Bayesian Multi-Topology Express Transportation Network Design under Posterior Predictive Demand, Sorting-Efficiency and Delivery-Time Uncertainty
-
Metaverse framework proposed for immersive statistical education
Welcome to the Statverse: A Metaverse for Data Science
-
Power can fall when adding more permutations to Monte Carlo tests
More Permutations Do Not Always Increase Power: Non-monotonicity in Monte Carlo Permutation Tests
-
Conditional bootstrap keeps data structure intact for mixed models
Conditional bootstrap for non-linear mixed effects models
-
Jittering adapts prediction errors to categorical models
Development and performance of npd for the evaluation of models with ordinal data
-
Imputing censored events extends npde to joint models
Evaluation of the npde performance for the evaluation of joint model with longitudinal and TTE data: an application in metastatic hormono-resistant prostate cancer
-
Maxima-nominated sets lower variance in spatial exceedance estimates
Threshold Exceedance Estimation in Spatially Correlated Areal Data Using Maxima-Nominated Sampling
-
Functional Liu estimator selects shrinkage by direct MSE minimization
Functional Liu Regression for Scalar-on-Functional Models in High-Dimensional Settings
-
The paper models networked systems that switch regimes and carry memory of past states
Quenched Amplification and Tail Shaping in Networked Systems with Memory and Regime Switching
-
Long memory switched systems exhibit bursts despite average stability
Intermittency induced by long memory under stochastic regime switching
-
GCC reserving method gains explicit MSEP formula
A Note on the Generalized Cape Cod Reserving Method
-
Markov chain solves Sudoku by sampling favored grids
Sudoku Solving and Finding Magic Squares by Probability Models and Markov Chains
-
Time-reversed Young interferometry turns fringes into deterministic responses
From Random Fringes to Deterministic Response: Statistical Foundations of Time-Reversed Young Interferometry
-
Basic temperature model predicts spring timing changes exactly
How temperature regimes near the equinox synchronize spring biological events
-
Students use GenAI heavily but doubt output accuracy
Perceptions and Utilization of GenAI Tools among Data Science Students and Faculty
-
Smartwatch data shows V-shaped football fever in fans
Time-dependent structural equation modeling of fans' football fever using activity tracking data during the 2025 DFB Cup final
-
Bayesian priors cut early misclassification of at-risk students by up to 42%
Early Prediction of Student Performance Using Bayesian Updating with Informative Priors Across Cohorts
-
Parameters reframe regression by composition
A Parameter-Centric View on Regression
-
Composing regressions removes dependence on data variation
Toward Variation-Independent Regression by Composition
-
AI functions as a health determinant like air pollution
The Epidemiology of Artificial Intelligence
-
iglm package enables regression under interference in networks
R Package iglm: Regression under Interference in Connected Populations
-
Bivariate Zenga surfaces track inequality across paired variables
On Some Multivariate Extensions to Zenga Curve: Properties and Applications
-
Projected convergence on positive-measure directions implies weak convergence
Weak convergence from projected laws on a positive-measure set of directions
-
Recommendations fail to increase regularization use
Why is Regularization Underused? An Empirical Study on Trust and Adoption of Statistical Methods
-
Debiased LASSO restores valid inference in high-dimensional regression
Debiased Estimators in High-Dimensional Regression: A Review and Replication of Javanmard and Montanari (2014)
-
Soft numbers assign infinitesimal probabilities to points
Hilbert's Sixth Problem and Soft Logic
-
Soft numbers give point events infinitesimal probabilities
Hilbert's Sixth Problem and Soft Logic
-
Large language models can accurately perform sensitivity analyses for unmeasured…
Using large language models for sensitivity analysis in causal inference: case studies on Cornfield inequality and E-value
-
Adaptive weights enable bi-level CME selection for GLMs
Adaptive Bi-Level Variable Selection of Conditional Main Effects for Generalized Linear Models
-
P-hacking inflates errors in error stats but not formal inference
p-Hacking Inflates Type I Error Rates in the Error Statistical Approach but not in the Formal Inference Approach
-
Variance differences drive gaps at chess's absolute top
Anyone for chess? Analysing chess ratings above high thresholds
-
Adaptive recalibration fixes coverage in quantum conformal prediction
Adaptive Conformal Prediction for Quantum Machine Learning
-
Catalogue links shadow libraries to Goodreads for 539k books
MajinBook: An open catalogue of digitally mediated world literature
-
Test set use in tuning overestimates link prediction by 3.6%
Impacts of Data Splitting Strategies on Parameterized Link Prediction Algorithms
-
Review shows stats and ML integration advances trial efficacy analysis
Efficacy Analysis in Clinical Trials: A Comprehensive Review of Statistical and Machine Learning Approaches
-
Test selects only helpful source samples for linear models
When to Transfer: Adaptive Source Selection for Positive Transfer in Linear Models
-
Editorial networks outweigh citations in ordering economics journals
Exploring the Shape of Economics: A Multilayer Network Analysis of Social Communities and Intellectual Similarity Among Journals Before and After the 2008 Financial Crisis
-
Local covariance standardizes residuals for conditional coverage
Multivariate Standardized Residuals for Conformal Prediction
-
Possibilistic models deliver frequentist reliability and flexible inference
Possibilistic inferential models: a review
-
Imitation alone cannot solve medical treatment decisions
Treatment, evidence, imitation, and chat
-
Conformal maps enable density-aware DP on manifolds
Conformal-DP: A Density-Aware Mechanism for Differential Privacy over Riemannian Manifolds via Conformal Transformation
-
ML estimates birth weight from parent data without scans
Parental Imprints On Birth Weight: A Data-Driven Model For Neonatal Prediction In Low Resource Prenatal Care
-
Self-exciting models fit aggression clusters in autistic youth
Temporal Point Process Modeling of Aggressive Behavior Onset in Psychiatric Inpatient Youths with Autism