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Every paper Pith has read. Search by title, abstract, or pith.
792 papers in stat.AP · page 6
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Combining mutational opportunities
Integrating opportunities and parametrized signatures for improved mutational processes estimation in extended sequence contexts
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Concurrent floods and droughts become more likely in Danube by 2100
Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
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Asymmetric priors let users set expected cluster count in binary mixtures
Informed Asymmetric Dirichlet Priors for Multivariate Bernoulli Mixture Models
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Bootstrap method selects bandwidths for circular regression of angular errors
Analyzing directional errors in spatial orientation using nonparametric circular regression with mixed covariates
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Privacy budgets of ε≤1 wipe out 90% of significant Cox predictors
Benchmarking the Utility of Privacy-Preserving Cox Regression Under Data-Driven Clipping Bounds: A Multi-Dataset Simulation Study
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Mobile data separates commuters from displaced in disasters
Context-Aware Displacement Estimation from Mobile Phone Data: A Methodological Framework
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Boundary conditions fix optimal basis risk weight for expectile insurance
Optimal basis risk weighting in expectile-based parametric insurance
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Small Fourier ratio forces time-series peaks into tiny additive generators
Large values in time series and additive combinatorics
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Few attorneys and repeat addresses organize Philadelphia evictions
Legal Infrastructure Organizes Eviction: Evidence from Philadelphia
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Ten attorneys handle 82% of Philadelphia eviction cases
Legal Infrastructure Organizes Eviction: Evidence from Philadelphia
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Few attorneys drive most Philadelphia evictions
Legal Infrastructure Organizes Eviction: Evidence from Philadelphia
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Real lift yields scalar state evolution for complex non-separable AMP
Complex Approximate Message Passing with Non-separable Denoising
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Expected Threat error follows log-normal distribution
Model quality in football: Quantifying the quality of an Expected Threat model
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3D pattern matching boosts conflict fatality forecasts
The geometry of conflict : 3D Spatio-temporal patterns in fatalities prediction
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Progression data predicts when survival will mature in cancer trials
Dynamic Prediction of the Target Survival Time in Metastatic Solid Tumor Cancer Clinical Trials
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Bayesian models recover missing counts in diagnostic tables
Bayesian Inference for Incomplete 2x2 Diagnostic Tables
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Weather shifts flip GB winter shortfall severity
Assessing the Shortfall Risk of GB Electricity Grid using Shifts in Winter Weather Conditions
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FCS imputations complete SHARELIFE life histories
SHARELIFE Imputations
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AMOC collapse date uncertain by millennia
Extrapolation from historical data cannot reliably predict the time of a potential AMOC collapse
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Conditional GAN produces 2050 drought maps for French insurance
A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence
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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
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Viral load data sharpens estimates of household infection times
Bayesian inference for disease transmission models informed by viral dynamics
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New model pools every threshold from continuous diagnostic tests
Meta-analysis of networks of diagnostic tests with binary and continuous results
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Grouping Wald test validates mixed logistic models with slopes
A Goodness-of-Fit Test for Mixed-Effects Logistic Regression
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Dynamical Bayesian model reproduces order biases in touch perception
Modelling time-order effects in haptic perception with a Bayesian dynamical framework
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Quantile battery trades miss price time links and honest forecast rewards
Probabilistic Forecasting for Day-ahead Electricity Prices, Battery Trading Strategies and the Economic Evaluation of Predictive Accuracy
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NoiseMod's 8 dB penalty limits energy savings to short IoT distances
On the Practical Performance of Noise Modulation for Ultra-Low-Power IoT: Limitations, Capacity, and Energy Trade-offs
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Latent Gaussian field models EV charging demand forecasts
Spatio-temporal modelling of electric vehicle charging demand
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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
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Hybrid estimator counts distinct LLM meanings more accurately with few samples
Mind the Unseen Mass: Unmasking LLM Hallucinations via Soft-Hybrid Alphabet Estimation
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Stats compare who wrote And Quiet Flows the Don
And Quiet Does Not Flow the Don: Statistical Analysis of a Quarrel Between Nobel Prize Laureates
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Physical activity benefit for mental health weakens sharply in young adults
Age-Dependent Heterogeneity in the Association Between Physical Activity and Mental Distress: A Causal Machine Learning Analysis of 3.2 Million U.S. Adults
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Deep learning predicts PM2.5 pollution at any location without grids
Ground-Level Near Real-Time Modeling for PM2.5 Pollution Prediction
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Review maps statistical tools for detecting and quantifying drug safety signals
A Review of Statistical Methods for Spontaneous Reporting System Data Mining: Signal Detection and Beyond
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New mixture model makes large-scale spatial extreme analysis feasible
Spatial Extremes at Scale: A Case Study of Surface Skin Temperature and Heat Risk in the United States
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Neural method transfers non-stationary air patterns from models to stations
A Non-stationary, Amortized, Transfer Learning Approach for Modeling Italian Air Quality
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Low-rank factorization recovers ecological networks from imperfect counts
Sparse Network Inference under Imperfect Detection and its Application to Ecological Networks
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Joint Bayesian model improves spatial gene detection accuracy
JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
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Pulse oximetry error creates three separate equity problems
Data (in)equities in data science: Dissecting systemic and systematic biases in pulse oximetry
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Truncated ResNet with style matrices beats weather classification benchmarks
Style-Based Neural Architectures for Real-Time Weather Classification
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Models predict auction efficiency from bids and asks alone
An `Inverse' Experimental Framework to Estimate Market Efficiency
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Drone system cuts drowning rescue time by factor of five
Autonomous Unmanned Aircraft Systems for Enhanced Search and Rescue of Drowning Swimmers: Image-Based Localization and Mission Simulation
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INLA hierarchy models non-linear BMI effects on mortality
Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
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Indirect ties drive new professional links more than degree or density
Causal inference for social network formation
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Covariance explains Mapper communities in four datasets
A Null Model for Mapper Subtype Claims
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Meta-learning allocates humans to fix LLM survey answers
Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys
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Gaussian mixture learning spots breast cancer metastases in slides
Detecting Breast Carcinoma Metastasis on Whole-Slide Images by Partially Subsampled Multiple Instance Learning
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Synthetic data improves logistic regression for geriatric discharge prediction
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation
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StomaD2 restores degraded images to detect stomata at 99% accuracy
StomaD2: An All-in-One System for Intelligent Stomatal Phenotype Analysis via Diffusion-Based Restoration Detection Network
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Process logs from digital tests reveal error clusters and hidden group biases
Analyzing Process Data from Computer-Based Assessments: A Tutorial on Preprocessing, Feature Extraction, and Model-Based Inference