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Every paper Pith has read. Search by title, abstract, or pith.
336 papers in stat.AP · page 1
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Infer mobility group sizes from summed sensor counts
Macroscopic Activity-Based Modeling of Urban Active Mobility
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Bayesian fusion sharpens inferences from camera trap data
Improving ecological inference and uncertainty quantification from camera trap data through the fusion of AI confidences and manual annotations
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The paper builds a forecasting framework that turns point predictions from a corrected…
Scenario generation of intraday electricity price paths for optimal trading in continuous markets
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Simulations create handbook for picking causal methods on binary data
Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
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Local K-function tests find mark-location links in point patterns
Testing the Structural Properties of Marked Point Processes Using Local Inhomogeneous Mark-Weighted K-Functions
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The paper introduces a Bayesian latent mixture model for zero-inflated weighted brain…
A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
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Surrogates estimate time-dependent failure probabilities efficiently
Time-variant reliability using time-dependent surrogate models
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No single test dominates power across multivariate problems
Power Studies For Two-Sample and Goodness-of-Fit Methods For Multivariate Data
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GNNs output random sets over classes to quantify epistemic uncertainty
Random-Set Graph Neural Networks
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Ensemble models forecast daily tree water use from weather data
An ensemble prediction method for forecasting sap flux density and water-use in temperate trees
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Partial sharing yields tighter intervals under Byzantine attacks
Partial Model Sharing Improves Byzantine Resilience in Federated Conformal Prediction
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Corrected audits flag discrimination in every Illinois insurer
Fairness Testing for Algorithmic Pricing
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Generative model preserves climate variable links at 50x resolution
Generative climate downscaling enables high-resolution compound risk assessment by preserving multivariate dependencies
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Adapter adds closed-form spatial covariance to frozen predictors
Spatial Adapter: Structured Spatial Decomposition and Closed-Form Covariance for Frozen Predictors
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Balanced designs give exact ANOVA estimators for dose-response precision
Statistical evaluation of measurement precision in linear dose-response relationships via interlaboratory studies
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Causal paths break down survival disparities over time
Causal Fairness for Survival Analysis
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Deterministic residual update removes stochastic variance in ensemble filters
A Data-Consistent Approach to Ensemble Filtering
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Prediction markets lag behind statistical models for flu and measles
Prediction Markets Underperform Simple Baselines For Infectious Disease Forecasting
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Covariate-dependent level links low-fidelity quantiles to high-fidelity ones
Multi-Fidelity Quantile Regression
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AI boosts solo entries but teams top the charts
Generative AI Fuels Solo Entrepreneurship, but Teams Still Lead at the Top
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Drop factor loadings below 0.70 in measurement models
Rethinking Factor Loading Thresholds: A Case for a Strict {\lambda} >= .70 Rule
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Consensus SEIR trajectories obtained via constrained Fréchet mean
Estimating Consensus Epidemic Trajectories via a Constrained Power Fr\'echet Mean with Functional Registration
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Past selections guide future choices via monotonicity model
A Statistical Framework for Learning Preferences from the Past
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dFlowGRPO applies rate-aware RL to discrete flow models
dFlowGRPO: Rate-Aware Policy Optimization for Discrete Flow Models
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Functional regression maps when physical activity interventions work
Quantifying Time-Varying Physical Activity Intervention Effects via Functional Regression
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LLMs outperform traditional taggers on medieval Romance POS tagging
From Traditional Taggers to LLMs: A Comparative Study of POS Tagging for Medieval Romance Languages
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Unsigned CATE estimates power randomization tests without splitting data
Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
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Bayesian inference directly yields optimal wildlife management actions
Bayesian decision theory for wildlife management under uncertainty: from inference to action
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Co-distillation lifts small-model math accuracy by 6 points over GRPO
CoDistill-GRPO: A Co-Distillation Recipe for Efficient Group Relative Policy Optimization
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Transfer learning improves abundance estimates from CPUE data
Accounting for variable detection functions in temporal abundance modeling via transfer learning
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Adjusting for assessment timing removes bias in EHR trial estimates
Statistical Design of Pragmatic Trials Using Electronic Health Record Data when Outcome Assessments are Uncontrolled and Irregular
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Time-warping adapts RNN fuel moisture model across lag classes
Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks
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Combined rank tests detect wider benefits in experiments
Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
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AI catches technical errors in POMP reviews that humans miss
Jagged AI in Scientific Peer Review: Evidence from POMP Data Analysis
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GenAI extracts deconfounders for causal effects of sequences in text and video
GenAI Powered Dynamic Causal Inference with Unstructured Data
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Statistics alone convict nurses of patient deaths
There to care; not to kill: medical settings, statistics and wrongful convictions
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Embeddings mix social constructs with confounders
The Proxy Presumption: From Semantic Embeddings to Valid Social Measures
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Trilemma forces fraud cash-out to centralize
Combating Organized Platform Abuse: Amplifying Weak Risk Signals with Structural Information
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V-PMB filter as coordinate descent KLD minimizer to PMBM
Variational PMB filter via coordinate descent Kullback-Leibler divergence minimisation
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Hidden Markov model detects regime shifts in proportion time series
A Beta-GAM Hidden Markov Model for Proportion Time Series
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Spatial mean modeling improves wind-speed volatility forecasts
Spatiotemporal dynamics of wind-speed volatility
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New method isolates uncertainty from incomplete asset data in risk models
Quantifying Exposure Information Uncertainty in Regional Risk Assessment
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Universities need strategic AI integration beyond isolated experiments
The University AI Didn't Replace -- Rethinking Universities in the AI Era
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K-means finds stable clusters in continuous data with no groups
Drawing Lines in Psychological Space: What K-means Clustering Reveals in Simulated and Real Psychometric Data
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Small capability errors amplify into large defect risks
Nonlinear Amplification of Finite-Sample Uncertainty in Capability-Based Decisions
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Jeffreys Bayes estimator beats MLE on small Frank copula samples
Bivariate Frank Copula: Some More Results on Point Estimation of the Association Parameter from a Bayesian Perspective and Revisiting the Goodness of Fit Tests with an Application to Model Groundwater Data from Dong Thap, Vietnam
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Bayesian tensor model estimates multi-feature contact matrices
Bayesian Modeling and Prediction of Generalized Contact Matrices
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Jacobi prior adds closed-form Bayesian step to 9.5 MB edge disease detector
TinyBayes: Closed-Form Bayesian Inference via Jacobi Prior for Real-Time Image Classification on Edge Devices
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Bayesian averaging of fractional polynomials recovers optimal doses
Bayesian Fractional Polynomials for Optimal Dosage Estimation with Fish Nutrition Applications
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Two-level model improves route predictions for mobility apps
A Two-Level Plackett-Luce Model for preference modeling in smart mobility platforms