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Every paper Pith has read. Search by title, abstract, or pith.
792 papers in stat.AP · page 4
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DroughtFormer forecasts African droughts to 90 days
Prediction of Drought and Flash Drought in Africa at the Seasonal-to-Subseasonal Scale using the Community Research Earth Digital Intelligence Twin Framework
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Adaptive loading keeps white noise gain above a set floor
Adaptive Diagonal Loading for Norm Constrained Beamforming
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Neural network assigns climate probabilities across the Sahara
Probabilistic Classification and Uncertainty Quantification of Sahara Desert Climate Using Feedforward Neural Networks
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Coastal severe weather drops joint network operability to 17.6 percent
Data-Driven Climate Outage Risk Characterization and Resilience Analysis in Joint Power-Communication Networks
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BOIN extensions handle selected dose combinations in phase I trials
BOIN Designs for Dose Escalation With Selected Dose Combinations in Oncology Phase I Trials
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Hybrid graph-SVR model boosts urban air pollution forecasts
Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution
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Entropic transport loss avoids local optima in clustering
On Model-Based Clustering With Entropic Optimal Transport
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LLM agents rate depression interviews closer to experts than original raters
ADAPTS: Agentic Decomposition for Automated Protocol-agnostic Tracking of Symptoms
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AI agents rate psychiatric symptoms better than humans on tricky cases
ADAPTS: Agentic Decomposition for Automated Protocol-agnostic Tracking of Symptoms
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Gap-aware transformer reduces Alzheimer's prediction error by 13%
Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories
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Gait model yields misleading ratios under 10 percent
Evaluating the probative value of forensic gait analysis evidence using empirical data
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Ensemble filter cuts pose tracking error with quaternions
Pose Tracking with a Foundation Pose Model and an Ensemble Directional Kalman Filter
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Tweedie kernels unify estimation of zero-inflated densities
Tweedie-based nonparametric estimation for semicontinuous mixed densities
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SAFE framework controls error rates in trial safety data
Synergy Area with FDR-controlled Evaluation (SAFE) to robustly assess safety profile in clinical trials
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Two coded channels capture all tilt-defocus data in fixed-detector setup
Fixed-detector tilt--defocus sensing by upstream source coding in a time-reversed Young interferometer
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Semi-Markov regimes capture epidemic waves with random durations
Semi-Markov Models with Particle-Based Bayesian Inference for Epidemics
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NICU music studies shift from physiology to family bonds
Research trends in music-based interventions in neonatal intensive care units: a text mining and topic modeling study
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The paper constructs a continuous-time stochastic choice process for network formation…
A Behavioral Micro-foundation for Cross-sectional Network Models
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Scale-invariance fixes analogue ensemble volumes and dispersion
Structural and Lagrangian properties of analogue ensembles to characterize multifractality of stochastic processes
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Intraday risk curves boost asset selection
Large-Scale Asset Selection via Metric Dependence with Enriched High Frequency Information
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Point-curve objects improve asset selection for portfolios
Large-Scale Asset Selection via Metric Dependence with Enriched High Frequency Information
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AECM updates directions one by one for faster convergence in mixture noise
The AECM Algorithm for Deterministic Maximum Likelihood Direction Finding in the Presence of Gaussian Mixture Noise
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CNN outperforms standard ML at predicting pavement condition
Deep learning-based pavement performance modeling using multiple distress indicators and road work history
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Influence scores select compatible external controls to improve RCT precision
Adaptive Influence-Based Borrowing Framework for Improving Treatment Effect Estimation in RCTs Using External Controls
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Two-group split makes life detection feasible with small surveys
The Catastrophic Consequences of Agnosticism for Life Searches and a Possible Workaround
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TETRIS recovers multiple respiratory signals directly from PPG
Data-driven time-frequency tessellation for signals with oscillatory amplitude envelopes and instantaneous frequency, with application to photoplethysmograhy
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Graph choice and distance metric shape persistent-homology features for time series
Persistent Homology of Time Series through Complex Networks
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Maxima-nominated sets lower variance in spatial exceedance estimates
Threshold Exceedance Estimation in Spatially Correlated Areal Data Using Maxima-Nominated Sampling
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Randomized tests plus simulators fix bias in model logs
The Partial Testimony of Logs: Evaluation of Language Model Generation under Confounded Model Choice
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Factor structure fixes identifiability in multivariate OU models
Factor State Space Modelling of the Ornstein-Uhlenbeck Process with Measurement Error and its Application
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LSE-GPQ intervals give reliable small-sample coverage for log-logistic reliability
A Novel Exact Inference Approach for Log-Logistic Reliability Functions with Applications to Time-to-Event Data
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Bounds show how often doctors beat trial recommendations
Trust Me, I'm a Doctor?
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Data bounds when physicians beat trial averages
Trust Me, I'm a Doctor?
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Spatial graph weights improve sparse recovery in high-dimensional VAR
High-Dimensional Multivariate VAR Estimation with Spatio-Temporal Structure
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A Fisher-consistent redescending M-estimator for spatial scalar-on-function regression is…
Robust spatial scalar-on-function regression: A Fisher-consistent redescending M-estimation approach
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The paper demonstrates linked micromaps on U.S
Using Linked Micromaps to Explore Complex Structures in Official Statistics
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Covariance-aware penalties boost neural net accuracy on correlated inputs
Adaptive Norm-Based Regularization for Neural Networks
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Street network models now cover every urban area on Earth
Urban Science Beyond Samples: Up-to-Date Street Network Models and Indicators for Every Urban Area in the World
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Mixture of experts sharpens prediction-powered inference
Prediction-powered Inference by Mixture of Experts
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Method finds optimal trial split across zones for hundreds of crop genotypes
Optimal allocation of trials to sub-regions in crop variety testing with multiple years and correlated genotype effects
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GCC reserving method gains explicit MSEP formula
A Note on the Generalized Cape Cod Reserving Method
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R packages unify forecast reconciliation across three frameworks
FoReco and FoRecoML: A Unified Toolbox for Forecast Reconciliation in R
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Peptides differ in virion confinement near cells
Statistical analysis of virion-cell interactions mediated by peptide nanofibrils and peptide amphiphiles using STEM tomography
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Density power divergence downweights outliers in diagnostic meta-analysis
Robust inference methods of diagnostic test accuracy meta-analysis for influential outlying studies via density power divergence
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GPS tracks quantify HIV exposure beyond home
Estimating Population Viral Load Contextual Exposure Using GPS-Derived Activity Spaces in Rural South Africa
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Low re-arrest rates wall off 50% PPV for violence risk tools
The Likelihood Ratio Wall: Structural Limits on Accurate Risk Assessment for Rare Violence
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Preference uncertainty induces a distribution over optimal designs
Estimating Decision Uncertainty from Preference Uncertainty: Application to Ground Vehicle Design
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Copula transform lifts ensemble to 0.96 accuracy on groundwater pollution
Smart Ensemble Learning Framework for Predicting Groundwater Heavy Metal Pollution
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Satellite embeddings raise prediction accuracy for malaria and child infections
AlphaEarth Satellite Embeddings for Modelling Climate Sensitive Diseases Towards Global Health Resilience
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Elevated amyloid shortens remaining dementia-free quantiles
Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease