Probability & Statistics · Mathematics & Statistics
Applications
The newest papers in Applications that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
143 papers, from 4 September 2026 to 5 November 2026: 143 arXiv preprints.
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Newest papers, page 3
A Pitfall in the Evaluation of Gene Perturbation Models
Gene perturbation models aim to predict transcriptional responses to unseen genetic interventions, but comparisons rely on heterogeneous evaluation metrics and differentially-expressed (DE) gene…Dirichlet-Tree Allocation Priors for Bayesian Causal Forests
Bayesian Causal Forests (BCF) estimate heterogeneous treatment effects with a separate ensemble of treatment trees.Choose your own adventure: How data source selection shapes urban accessibility analyses
Urban park accessibility shapes mental health, physical well-being, and community cohesion.The Hidden Look-Ahead: Point-in-Time Leakage in Electricity Market Data
Empirical studies of electricity prices routinely state that their models use only information available at the time of the trading decision.Bias correcting transaction cost models for characteristic function based estimators
Effective transaction cost is a necessary step for devising any competing financial trading strategy in the absence of quote data.A Two-Stage Hybrid Framework for Inferring Air Trips from Mobile Location-based Service (LBS) Data under Incomplete Airport Sightings
Mobile device location-based service (LBS) data provide large-scale spatiotemporal observations that can help airport planners understand air travelers' mobility patterns.Native Probability Outputs for Clinical Triage: An Evaluation of Calibration and Decision Accuracy
Patient-facing triage requires an appropriate care recommendation and recognition of when information is insufficient.Chance-Constrained Personalized LLM Routing with Online Preference Learning
We study personalized LLM routing, where a router selects among heterogeneous models with different costs and capabilities.The Physics Is the Network: Fast, Training-Free Neural Emulation
Neural emulation need not require learning a substitute for known physics.From Fourier Amplitudes to Persistence Images for Impact-Echo Defect Detection
Impact-echo testing is a nondestructive testing method used to detect internal defects in concrete structures.Discrete-Time Survival Modelling with Dynamic Industrial Graphs for Mortgage Credit Risk
Mortgage credit risk may exhibit dependence across economically connected areas, even when they are geographically distant.Selective Inference for Clustering Under Unknown Covariance
Unsupervised clustering is widely used to discover underlying group structure, after which researchers often seek to validate these groups via post-hoc hypothesis testing on the population means.Beyond the Damped Random Walk: Multiband AGN Variability from SDSS to Rubin LSST
The flux variability of Active Galactic Nuclei (AGNs) is commonly modeled using the damped random walk (DRW), but increasingly rich multiband time-domain surveys motivate more flexible stochastic…Probable but Not Valid: A Psychometric Audit of Decision Models as Synthetic Survey Respondents
Language models are increasingly used to create synthetic survey samples, also called silicon samples.Radiomics-Based Thyroid Nodule Classification with Label-Conditional Conformal Prediction
Thyroid nodule malignancy assessment relies on ultrasound imaging, yet current risk stratification systems suffer from substantial interobserver variability, contributing to a high rate of…Realized Tail-Risk Conditional Autoregressive Expectile Models: Accurate and Stable Forecasting Performance
A realized tail-risk conditional autoregressive expectile (RTCARE) model is proposed for joint forecasting of value-at-risk (VaR) and expected shortfall (ES).Probabilistic Forecasting of Electric Vehicle Charging in a Time-varying Hierarchical Infrastructure
Uncertainty quantification for electric vehicle (EV) charging demand is essential to turn the increasing pressure of EV adoption on power systems into a source of flexibility.Thyroid Nodule Segmentation in Ultrasound Images with Conformal Uncertainty Estimation
Thyroid nodules affect a large proportion of the general population.TypedBench: A Benchmark for Calibration, Framing Sensitivity, and Cost in System One Decision Models
System One models output calibrated probabilities over typed answers such as categorical choices, ordinal levels, or binary outcomes, via a non-generative interface.Automated Detection of Match Phases in Football from Spatio-Temporal Tracking Data Using Graph Neural Networks
Spatio-temporal tracking data has opened new possibilities for detecting complex tactical patterns in football, yet modeling the interactive movements of multiple players remains challenging.