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Every paper Pith has read. Search by title, abstract, or pith.
792 papers in stat.AP · page 5
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Markov chain fixes rainfall sequencing in bias correction
Improving Bias Correction Methods for Daily Rainfall Using a Markov Chain Approach
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LightGBM leads forecasts across Norway's five power zones
Electricity price forecasting across Norway's five bidding zones in the post-crisis era
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Split data to keep target trial inference valid
A simple strategy for valid inference in target trial emulations
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Stratified causal effects plus survival time better characterize death-truncated outcomes
Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
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New model attributes heatwaves as space-time events
A spatio-temporal statistical framework for heatwave attribution under climate change
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Binary verdicts fail to separate replicable from non-replicable science
The Difference Between "Replicable" and "Not replicable" is not Itself Scientifically Replicable
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Four macro factors price G20 equity returns better than CAPM
Pricing Global Macroeconomic Risk in Equity Markets: Evidence from Selected G20 Economies
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Diffusion models adapt to bounded continuous self-reports
Extending Evidence Accumulation Models to Bounded Continuous Self-report Data
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Diffusion models now fit bounded continuous self-reports and times
Extending Evidence Accumulation Models to Bounded Continuous Self-report Data
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Technology adoption distorts bubble tests with local explosiveness
General-Purpose Technology and Speculative Bubble Detection
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Decomposition removes tech shocks from bubble tests
General-Purpose Technology and Speculative Bubble Detection
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Adaptive networks let one MCMC sampler handle many similar structural updates
Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models
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Deviations from rational stopping diagnose psychological profiles
Holistic Decision-Making in Stopping Problems: Emphasizing Psychological Aspects
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Citation Seeder matches best generators with 10000x fewer parameters
Generating Synthetic Citation Networks with Communities
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Wilcoxon test inflates false positives in IR comparisons
Stop Using the Wilcoxon Test: Myth, Misconception and Misuse in IR Research
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Satellite ammonia data sharpens farm carbon estimates in Po Valley
On the use of satellite information to estimate agricultural carbon footprint in a small area framework
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Conformal sets predict future conflict sequences with coverage
Conflict Forecasting via Conformal Prediction for Markov Processes
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Modified tempering explores multimodal HMM posteriors in whale data
Bayesian inference for hidden Markov models under genuine multimodality with application to ecological time series
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Clustering cuts bias in sampled Fisher information for dynamics
Fisher Information and Dynamical Sampling I
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Approximate Bayesian sampler valid for large privatized data
Large-Sample Bayesian Approximations for Privatized Data
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Software framework lets AI close the business experimentation loop
Closing the Loop: A Software Framework for AI to Support Business Decision Making
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Images reconstruct uniquely from sparse Laplacian fields
Shared-kernel Wavelet Neural Networks for Poisson Image Reconstruction
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Hawkes model with pauses matches LOB volatility slopes
Extended State-dependent Hawkes Process for Limit Order Books: Mathematical Foundation and the Reproduction of Volatility Signature Plots
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Sequence analysis clusters EMA stress profiles better than averages
Beyond the mean: Sequence analysis methods for clustering ordinal EMA data
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Classification histories boost light-curve accuracy
Beyond the Final Label: Exploiting the Untapped Potential of Classification Histories in Astronomical Light Curve Analysis
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Kernel model links plaque size to neighboring cell genes in Alzheimer tissue
Sparse Reduced-rank Regression Methods for Spatially Misaligned Data with Application to Spatial Transcriptomics
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Basic temperature model predicts spring timing changes exactly
How temperature regimes near the equinox synchronize spring biological events
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Tilting identifies causal effects of pollution mixtures
Multivariate incremental effects for continuous treatments: Studying the health effects of environmental mixtures
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Decomposed cross-validation ranks small area estimators reliably
Design-Based Cross-Validation for Comparing Small Area Estimators
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Cross-validation split separates bias from bounds in small area models
Design-Based Cross-Validation for Comparing Small Area Estimators
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Refugee matching benefits hold across evaluation methods
Robustness of Refugee-Matching Gains to Off-Policy Evaluation Choices
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Latent model quantifies human influence on US heat extremes
Estimating Causal Attribution of Anthropogenic Forcing on High-Temperature Extremes Using a Latent Gaussian Spatial Model
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Piano transcription pipeline separates neoclassical from historical composers by Zipf fit
An audio-to-analysis pipeline with certified transcription for information-theoretic profiling of the piano repertoire
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Adaptive rotations make MCMC samplers work on any structural model
MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification
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Bayesian model decomposes area income distributions into shared latent factors
Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
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Machine learning maps expanding salinity in Satkhira
A Dynamic Learning Observatory Reveals the Rapid Salinization of Satkhira, Bangladesh
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Embeddings show how Beatles songwriting evolved
Come Together: Analyzing Popular Songs Through Statistical Embeddings
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Stacking four DLNMs identifies pollutant-mixture links to mortality
A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology
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Variational autoencoder improves long-term customer revenue forecasts
CLVAE: A Variational Autoencoder for Long-Term Customer Revenue Forecasting
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Bilinear model improves forecasts of extreme events in aircraft production
Multi-output Extreme Spatial Model for Complex Aircraft Production Systems
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Dual-thresholding boosts short CNA detection accuracy in noisy data
Tail-Greedy Unbalanced Haar Wavelet Segmentation for Copy Number Alteration Data
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Latent-space method speeds Bayesian updating of building FE models
Finite element model updating of building structures under seismic excitation: A parallelized latent space-based Bayesian framework
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Specific-source feature LR systems top performance but are hardest to implement
From specific-source feature-based to common-source score-based likelihood-ratio systems: ranking the stars
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Galaxy evolution modeled as transport on latent manifold
Formalizing Galaxy Population Evolution: Drift and Mergers as Transport Processes on Manifolds
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Bandits optimize concave utilities via influence-function gradients
Concave Statistical Utility Maximization Bandits via Influence-Function Gradients
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Activity pattern changes modeled as deformations track physical function
Modeling Physical Activity Change as Smooth Transformations: Temporal and Amplitude Patterns Associated with Physical Function in Older Women
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Zero-inflated Poisson tensor model separates structural from technical zeros
Zero-inflated modeling with smoothing on counting tensors
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Hierarchical model separates subject and time effects for longitudinal imputation
Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
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Projection yields exact decomposition of NMA into study contributions
Contrast-Space Projection for Network Meta-Analysis: An Exact and Invariant Study-Based Decomposition of Direct and Indirect Contributions
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Bayesian model detects shared neural responses in fMRI with uncertainty
Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data