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- A signal-processing cascade linking satellite heat exposure, genomic variation, and mortality risk
- Development of tools for all-cause mortality prediction in heart failure patients: a systematic review
- Sequential Bayesian analysis of time-varying transmission in stratified epidemic renewal models
- Tail reliability in probabilistic electricity price forecasts: comparing model combination and conformal prediction in the GB day-ahead market
- Behavioral Prior Elicitation via LLM for Heterogeneous-Agent Bitcoin Flash-Crash Simulation
- Mapping urban heat from citizen-collected data: a scalable Gaussian process approach to correcting for preferential sampling
- Recovering Hidden Wildlife--Vehicle Collisions from Existing Crash Data: A Cross-State Framework for Detection, Prevalence Estimation, and Under-Reporting Audits
- Statistical analysis of the remaining human life expectancy. Mathematical models of the type Gompertz-Makeham and others
- Identifiability of Neologism Dynamics from Aggregate Corpus Counts
- Four Extensions of the Universal Law of Robustness: Log-Concave Covariates, Heterogeneous Mixtures, Vector-Valued Predictors, and Markovian Data
- Separating Weight and Likelihood Tail Effects in Bayesian Neural Groundwater Inversion
- Data assimilation using a global Girsanov nudged particle filter
- An Integrative Approach for Subtyping Mental Disorders Using Multimodal Data
- Healthy Participant Versus Patient Selection for Clinical Pharmacology Studies in Small-Molecule Oncology Drug Development.
- Invertible Graph Aggregation Can Increase ReLU Readout Width
- Partial Invariance for Classification under Structural Causal Models
- A General Approach for Assessing Sensitivity to Violations of Causal Assumptions
- Empirical rather than simulated spectral band adjustment of MODIS to Sentinel-3 OLCI for European vegetation monitoring
- Eunoia: Area-Proportional Euler and Venn Diagrams in Rust, Julia, Python, R, and JavaScript
- A multivariate unsupervised lognormal-GPD mixture for dependent losses
- Reduced Cost Influence Functions for Predict-then-Optimize under Noisy Data
- Large Geometry Models Are Priors For Fast Physics Pretraining
- Does Calibration Pick the Right Model? Likelihood Evidence from Income Risk
- The precision of fractional factorial designs under randomization
- Direct Knowledge Transfer for Offline Q-Learning