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Every paper Pith has read. Search by title, abstract, or pith.
792 papers in stat.AP · page 2
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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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Reallocating HCV treatments cuts costs by millions for HIV patients
Policy Learning with Observational Data: The Case of Hepatitis C Treatment for HIV/HCV Co-Infected Patients
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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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Calibrated model nearly matches Betfair accuracy in live football
A market-calibrated accelerated failure time model for in-play football forecasting
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Bootstrap respects conditioning principle exactly in claims reserving
A Model-Agnostic Bootstrap for Macro-Level Claims Reserving Under the Conditioning Principle
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Conditions identify best spots for two different spares in coherent systems
Active Redundancy Allocation Strategy at Component and System Level
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Poisson-gamma process produces negative binomial chain-ladder counts
The Negative Binomial Chain-Ladder: A Full Likelihood Model for Claim Count Reserving
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Tonic EDA tracks stress additively during walking or cycling
Separating Acute Psychological Stress from Physical Exertion in Biometric Signals
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Two-round tests locate one rare excellent item with log n queries
Statistical two-round search for one excellent element
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Two-subloop design achieves 35.48% cooling energy savings
Co-Design Optimization for Data Center Cooling System via Digital Twin
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Bayesian method auto-detects tissue domain counts from spatial omics
BaySC: Uncovering Tissue Architecture in Spatial Multi-Omics via Probabilistic Spatial Clustering
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Standard rules understaff SNAP call centers by ignoring redials
Due Process on Hold: A Queueing Framework for Improving Access in SNAP
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Anomaly detection uncovers refinery LP errors and opportunities
From Data to Action: Accelerating Refinery Optimization with AI
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Reinforcement learning estimates hidden states for multivariate HMM forecasts
DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
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Bayesian model cuts brain deviation map error by 45-54%
A Bayesian Longitudinal Spatial Normative Model for Individualized Brain Deviation Mapping
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Bayesian model cuts brain deviation mapping error by 54%
A Bayesian Longitudinal Spatial Normative Model for Individualized Brain Deviation Mapping
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MCMC method gives reliable uncertainty for fMRI brain connectivity
An MCMC-Based Method for Dynamic Causal Modeling of Effective Connectivity in Functional MRI
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Modern stats reveal trends in 150-year cod liver data
Recent advances in statistical methodology applied to the Hjort liver index time series (1859-2012) and associated influential factors
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Infer mobility group sizes from summed sensor counts
Macroscopic Activity-Based Modeling of Urban Active Mobility
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Optimization selects football transfers that fit budget and squad goals
Optimising football transfer strategy under budget constraints: A weighted multi-criteria approach
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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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Bayesian model represents brain networks as mixtures of latent templates
A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
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Clinical AI models passing accuracy tests can fail hidden deployment checks
RISED: A Pre-Deployment Evaluation Framework for High-Stakes AI Decision-Support Systems, with Application to Healthcare
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Digital twins build synthetic controls for single-arm trials
Digital Twins as Synthetic Controls in Single-Arm Trials
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Outcome delays inflate sample sizes in re-estimation trials
Evaluating the impact of outcome delay on the efficiency of sample size re-estimation
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Longer blocks reduce efficiency in block maxima models
How long should a block be?
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Surrogates estimate time-dependent failure probabilities efficiently
Time-variant reliability using time-dependent surrogate models
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Closed-form distributions on flat torus model protein torsions
Circula-based multivariate distributions on the flat torus, with applications in structural biology
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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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Nonlinear correction fixes RNA-seq sample biases
Detecting and Correcting Sample-by-Sample Scale Distortion in RNA Sequencing Data