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Every paper Pith has read. Search by title, abstract, or pith.
792 papers in stat.AP · page 12
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Hybrid method finds fewer stable pancreatic cancer biomarkers
Optimizing Prognostic Biomarker Discovery in Pancreatic Cancer Through Hybrid Ensemble Feature Selection and Multi-Omics Data
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Dirichlet process mixtures cluster structural damage states
Hierarchical Bayesian model updating using Dirichlet process mixtures for structural damage localization
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Mutual information surprise signals epistemic growth instead of anomalies
Mutual Information Surprise: Rethinking Unexpectedness in Autonomous Systems
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Life expectancy gap equals Wasserstein distance without crossing curves
On the relationship between the Wasserstein distance and differences in life expectancy at birth
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Climate scenarios integrated into DFA alter insurer risk profiles
Dynamic Financial Analysis (DFA) of General Insurers under Climate Change
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Synthetic data matches real results in epidemiological replications
Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests
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Machine learning forecasts extreme Paris heat two weeks ahead
Forecasting Extreme Day and Night Heat in Paris: A Proof of Concept
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SQR matches black-box quantile accuracy while staying interpretable
Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles
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Symbolic regression predicts any conditional quantile
Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles
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Matrix factorization reconstructs missing solar irradiance records
Matrix Factorization-Based Solar Spectral Irradiance Missing Data Imputation with Uncertainty Quantification
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Three clusters show how Amman households cope with water shortages
Understanding Heterogeneity in Adaptation to Intermittent Water Supply: Clustering Household Types in Amman, Jordan
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Sicily interconnector boosted price volatility
The effect of a new power interconnector on energy prices volatility: the case of Sicily
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Regime-aware model ranks most balanced for electricity prices
Regime-Aware Conditional Neural Processes with Multi-Criteria Decision Support for Operational Electricity Price Forecasting
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Bayesian method gives exact posteriors for sub-Hz spectra
Precision spectral estimation at sub-Hz frequencies: closed-form posteriors and Bayesian noise projection
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GAMM models reach lowest error on Parkinson's voice progression
Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models
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Pathwise selection recovers local networks with finite-sample error control
Local graph estimation with pathwise false discovery control
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Angle-restricted 2D walks have exactly characterizable support
On the Distribution of a Two-Dimensional Random Walk with Restricted Angles
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Codifference predicts LFSM increments for rough volatility
Prediction of linear fractional stable motions using codifference, with application to non-Gaussian rough volatility
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Algorithm automates surrogate models for complex dynamical systems
mNARX+: A surrogate model for complex dynamical systems using manifold-NARX and automatic feature selection
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Credibility weights blend large and small group mortality forecasts
Forecasting sub-population mortality using credibility theory
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Boosted Li-Lee model improves weekly mortality forecasts across 30 countries
Gradient boosted multi-population mortality modelling with high-frequency data
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IPW removes bias in recurrent event models with intercurrent events
Inverse Probability Weighting for Recurrent Event Models
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Federated IRT matches centralized accuracy without pooling student responses
Federated Item Response Models: A Gradient-driven Privacy-preserving Framework for Distributed Psychometric Estimation
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Bayesian joint model enables continuous-time mediation analysis
Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
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Library accelerates multiverse analysis across 672 million regressions
RobustiPy: An efficient next generation multiversal library with model selection, averaging, resampling, and explainable artificial intelligence
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Max-Combo test beats log-rank in non-proportional survival data
One-sample survival tests in the presence of non-proportional hazards in oncology clinical trials
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Loss tweaks fix calibration of extreme wind forecasts
Enforcing tail calibration when training probabilistic forecast models
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Spatially varying deep net predicts Midwest corn yields more accurately
Spatially Varying Deep Functional Neural Network: Application in Large-Scale Crop Yield Prediction
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Causal forests lose precision when adding trial selection covariates
Finite-sample bias-variance tradeoff with variables related to trial participation inserted into causal forest models for ensuring generalizability
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Division history shows glc3 mostly inactive under stress
Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history
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LLM label errors bias diagnostic model tests by prevalence
Impact of Label Noise from Large Language Models Generated Annotations on Evaluation of Diagnostic Model Performance
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Adaptive tuning selects reliable HMC integrators and parameters automatically
Adaptive tuning of Hamiltonian Monte Carlo methods
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Graph block densities catch smurfing in transaction networks
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering
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Biomass maps from space match forest inventory data in western states
Validating remotely sensed biomass estimates with forest inventory data in the western US
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Group MCP penalty selects functional predictors in Cox models
Variable Selection in Functional Linear Cox Model
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Women faculty earn 6% less than similar men after adjustments
Evaluating Gender Wage Inequality in Academia using Causal Inference Methods for Observational Data
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Selective p-values fix inference after F-screening
Valid F-screening in linear regression
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Preserving network hubs improves Lasso selection for proteomics
A Network-Guided Penalized Regression with Application to Proteomics Data
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Scaled KSVD matches SAEs on disentangling model embeddings
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces
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Interacting reinforced processes model patent category spillovers
Modeling Innovation Ecosystem Dynamics through Interacting Reinforced Bernoulli Processes
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Host pre-assignment distorts FIFA World Cup draws more than needed
How to optimise tournament draws: The case of the FIFA World Cup
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Hybrid model reaches 97.2% accuracy predicting strokes from routine data
Advancing Tabular Stroke Modelling Through a Novel Hybrid Architecture and Feature-Selection Synergy
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Bayesian analysis values strain monitoring for ship corrosion
Value of Information-based assessment of strain-based thickness loss monitoring in ship hull structures
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Estimators trace treatment effects along assignment boundaries
Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods
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8-bit voltage data recovers grid topologies
Information-Theoretic Grid Topology Reconstruction using Low-Precision Smart Meter Data
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New threshold and model reconstruct extreme surge histories from long-record stations
Multi-site modelling and reconstruction of past extreme skew surges along the French Atlantic coast
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ACI outperforms weather indexes for US crop yield forecasts
Comparative Analysis of Weather-Based Indexes and the Actuaries Climate Index$^{TM}$ for Crop Yield Prediction and Weather-Derivative Pricing
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Bayesian model beats Gaussians at PM2.5 exceedance forecasts
Spatio-temporal fusion of reanalysis and in situ data for censored threshold exceedances of PM2.5
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Hazard models estimate vaccine effectiveness without matching
Target trial emulation without matching: a more efficient approach for evaluating vaccine effectiveness using observational data