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Every paper Pith has read. Search by title, abstract, or pith.
792 papers in stat.AP · page 11
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Screening method cuts extreme wave load prediction to 1-3% of usual effort
Design loads for wave impacts -- introducing the Probabilistic Adaptive Screening (PAS) method for predicting extreme non-linear loads on maritime structures
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Spatial boundaries improve filtering of noisy animal tracks
Spatial constraints improve filtering of measurement noise from animal tracks
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Pair-of-pairs design separates always-compliers from switchers
Design-based nested instrumental variable analysis
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Recursive multi-fidelity GPs train faster than non-recursive ones
Multi-fidelity Gaussian process regression for noisy outputs and non-nested experimental designs: a comparison between the recursive and non-recursive formulations
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Post-processing yields skilled wind power forecasts up to 16 days ahead
Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
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Covariate adjustment sharpens win odds estimates in trials
Covariate Adjustment for the Win Odds: Application to Cardiovascular Outcomes Trials
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Marginalized state-space models encompass INGARCH for counts
State-Space Representation of INGARCH Models and Their Application in Insurance
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Density estimators on circle and sphere hit optimal rates with direct computation
Rate-optimal and computationally efficient nonparametric estimation on the circle and the sphere
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Algebraic sets constrain parameters for evolutionary accumulation
An Algebraic Approach to Evolutionary Accumulation Models
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Sub-exponential growth fits most word diffusion curves
Sub-exponential Growth Dynamics in Complex Systems: A Piecewise Power-Law Model for the Diffusion of New Words and Names
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Sub-exponential growth fits most new word diffusion patterns
Sub-exponential Growth Dynamics in Complex Systems: A Piecewise Power-Law Model for the Diffusion of New Words and Names
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Z-Dip standardizes multimodality scores for any sample size
Z-Dip: a standardized measure for data modality assessment
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Diversity metrics flag biotic samples over abiotic ones
Molecular diversity as a biosignature
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Heuristics gauge reliability of InSAR phase linking
Heuristic Quality Coefficients for Interferometric Phase Linking
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Arctic model forecasts thaw two weeks out at 80 percent accuracy
Forecasting Arctic Temperatures With Quantile Machine Learning
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Multivariate views improve anonymization method selection
Beyond the Trade-off Curve: Multivariate and Advanced Risk-Utility Maps for Evaluating Anonymized and Synthetic Data
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Late fusion wins for multimodal activity recognition
Multimodal Fusion and Interpretability in Human Activity Recognition: A Reproducible Framework for Sensor-Based Modeling
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EU carbon market shows predictability and concentrated power
Understanding Carbon Trade Dynamics: A European Union Emissions Trading System Perspective
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P-value adjustments always lose power in dual-outcome cluster trials
A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints
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Signature kernel scores weather paths better than pointwise errors
Signature Kernel Scoring Rule: A Spatio-Temporal Diagnostic for Probabilistic Weather Forecasting
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Penalty shootouts act like coin tosses in European club football
Are penalty shootouts better than a coin toss? Evidence from international club football in Europe
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Estimands clarify intercurrent event strategies in meta-analyses
Incorporating estimands into meta-analyses of clinical trials
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Regression on local PCA improves manifold dimension estimates
Manifold Dimension Estimation via Local Graph Structure
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Formulas give exact citation counts per community
The Price-Pareto growth model of networks with community structure
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Technical delays and renewables cannibalisation dominate transition uncertainty
Policy Robustness & Uncertainty in Model-based Decision Support for the Energy Transition
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Bixplot shows bimodal patterns that boxplots miss
The bixplot: A variation on the boxplot suited for bimodal data
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Emulator ensembles quantify 10,000-year precipitation extremes
Quantifying Very Extreme Precipitation and Temperature Using Huge Ensembles Generated by Machine Learning-based Climate Model Emulators
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Diffusion emulator matches ESM outputs within internal variability
Score-based generative emulation of impact-relevant Earth system model outputs
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Causal predictors raise short-term hurricane intensity skill
Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting
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EnScale downscales climate models at one-tenth the usual cost
EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules
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Spatially varying buffers improve estimates of healthcare exposure effects
Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
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Single-lane roundabouts seen as safer by middle-aged users
Assessing Roundabout Safety Perceptions under Heterogeneous Traffic: Socio-Demographic and Geometric Influences in Indian Urban Contexts
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Penalized lags improve regional mortality forecasts
A penalized distributed lag non-linear Lee-Carter framework for regional weekly mortality forecasting
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Residualization gives ML player metrics valid inference
Rethinking player evaluation in sports: Goals above expectation and beyond
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Mandate advanced student shots by 80 days with no net gain
Pull-Forward and Induced Vaccination Under Time-Limited Mandates: Evidence from a Low-Coercion Mandate
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Digital twins match humans only modestly and show five clear distortions
Digital Twins as Funhouse Mirrors: Five Key Distortions
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Estimand quantifies health effects of shifting exposure mixtures
Everything all at once: On choosing an estimand for multi-component environmental exposures
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Low-cost EGG pipeline retains all channels and cuts data loss
A tutorial on electrogastrography using low-cost hardware and open-source software
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U.S
A Korean Macroeconomic Database for Data-Rich Policy Analysis and U.S.--Korea Dependence
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Tree kernel clusters DNase-seq profiles to reveal TF binding sites
A tree-based kernel for densities and its applications in clustering DNase-seq profiles
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Bayesian model estimates effects within compliance types in cluster trials
A Bayesian Framework for Latent Compliance Modeling in Cluster Randomized Trials with One-Sided Noncompliance
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Adaptive focus halves runtime for biobank-scale pQTL mapping
Adaptive Bayesian computation for efficient biobank-scale genomic inference
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Path signatures spot ad creative fatigue in performance paths
A Path Signature Framework for Detecting Creative Fatigue in Digital Advertising
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NARFIMA hybrid beats benchmarks in BRIC exchange rate forecasts
Neural ARFIMA model for forecasting BRIC exchange rates with long memory
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DPD-Lasso delivers stable hazard analysis despite data outliers
Robust Analysis for Resilient AI System
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Amazon satellite monitors cut homicides by 15 percent
DETERring more than Deforestation: Environmental Enforcement Reduces Violence in the Amazon
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Multidimensional MNLFA extends moderation to all parameters for 3+ factors
Multidimensional constructs and moderated linear and nonlinear factor analysis
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Interactive plots flag artificial clusters from dimension reduction
DRtool: An Interactive Tool for Analyzing High-Dimensional Clusterings
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Minimal autoencoder captures Alzheimer's patterns in MRI latent space
Latent space projections and atlases: A cautionary tale in deep neuroimaging using autoencoders
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Stacking beats voting for obesity risk prediction
Ensemble Learning for Healthcare: A Comparative Analysis of Hybrid Voting and Ensemble Stacking in Obesity Risk Prediction