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Every paper Pith has read. Search by title, abstract, or pith.
792 papers in stat.AP · page 14
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Granger causality enables fast climate attribution from observations
Granger causal inference for climate change attribution
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Counting process has minimal intensity iff Poisson after measure change
On minimal predictable intensity of point processes
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Warped GP fuses skewed time series from uneven sources
Warped multifidelity Gaussian processes for data fusion of skewed environmental data
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Reduction to 1D quantifies value of limited pricing data
Fast Revenue Maximization
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Mixture priors quantify how much to pool replication data
Mixture priors for replication studies
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Online LASSO updates fit distributional models incrementally
Online Distributional Regression
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Record linkage viewed as missing data corrects analysis bias
Analysis of Linked Files: A Missing Data Perspective
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Three-group model fuses GWAS and RNA-seq to find Parkinson's genes
A Three-groups Non-local Model for Combining Heterogeneous Data Sources to Identify Genes Associated with Parkinson's Disease
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Self-supervised transformer learns rare animal calls from unlabeled audio
animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics
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European firms cluster by sustainability across borders
Multidimensional spatiotemporal clustering -- An application to environmental sustainability scores in Europe
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Markov models induce exact genealogy likelihoods
Exact phylodynamic likelihood via structured Markov genealogy processes
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Scaled noise aligns NCE gradients with maximum likelihood
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood
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Higher-risk groups boost sampling efficiency in disease surveillance
Efficient Sampling in Disease Surveillance through Subpopulations: Sampling Canaries in the Coal Mine
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Survey effects can exceed or reverse real-world effects
A Formal Theory of Survey Experiment Generalizability: Attention and Salience
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Multidimensional Hawkes model beats ETAS on quake sequences
A Multidimensional Fractional Hawkes Process for Multiple Earthquake Mainshock Aftershock Sequences
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Fractional Hawkes model beats ETAS on three quake catalogs
A Fractional Model for Earthquakes
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Age adjustment narrows migration forecast intervals
Bringing Age Back In: Accounting for Population Age Distribution in Forecasting Migration
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Constraints make fold changes identifiable under detection biases
Estimating Fold Changes from Partially Observed Outcomes with Applications in Microbial Metagenomics
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Rank-preserving bootstrap refines treatment-effect sampling distribution
Sharp variance estimator and causal bootstrap in stratified randomized experiments
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UFC round stats predict fight winners at 80 percent accuracy
FightTracker: Real-time predictive analytics for Mixed Martial Arts bouts
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Bayesian nonparametric models predict insurance claims more accurately
Modeling Insurance Claims using Bayesian Nonparametric Regression
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Seven biomarkers predict bacteremia in septic ICU patients
Clinical Characteristics and Laboratory Biomarkers in ICU-admitted Septic Patients with and without Bacteremia
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Bayesian filter tracks objects and infers changing intent
Joint Object Tracking and Intent Recognition
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Mobile data improves French electricity demand forecasts
Human spatial dynamics for electricity demand forecasting: the case of France during the 2022 energy crisis
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EHR survival model doubles cancer detection in 426K pilot
Can-SAVE: Deploying Low-Cost and Population-Scale Cancer Screening via Survival Analysis Variables and EHR
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Adaptive test gains power on low-rank covariance differences
Rank-adaptive covariance testing with applications to genomics and neuroimaging
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36% of UK payday borrowers hit 12-week high-intensity streak
Detecting Consumers' Financial Vulnerability using Open Banking Data: Evidence from UK Payday Loans
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Latent states extract health and treatment signals from Parkinson's digital data
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes
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Education alone stays significant across digital adoption stages
Digital Divide: Evidence from the 2020 Canadian Internet Use Survey
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Bayesian model detects brain communities more accurately than modularity
Hierarchical Bayesian inference for community detection and connectivity of functional brain networks
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P-spline rates in SIR models recover COVID transmission patterns
Dynamic SIR/SEIR-like models comprising a time-dependent transmission rate: Hamiltonian Monte Carlo approach with applications to COVID-19
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New method estimates principal effects using standard regression
GEEPERs: Principal Stratification using Principal Scores and Stacked Estimating Equations
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Poset model detects bishop status shifts in 12th-century documents
Bayesian inference for partial orders from random linear extensions: power relations from 12th Century Royal Acta
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PIMA tests predictor effects across every analysis choice
Post-selection Inference in Multiverse Analysis (PIMA): an inferential framework based on the sign flipping score test
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Prognostic variables modify marginal effects in non-collapsible measures
Transportability of model-based estimands in evidence synthesis
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Unspanned factors improve bond return forecasts
Dynamic Inference in Term Structure Models with Unspanned Latent Risks
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Bayesian factors model dependent outcomes for evolving drug benefit-risk scores
Bayesian Benefit-Risk Assessment with Dependent Outcomes via Latent Factor Models
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Node heterogeneity creates ghost triadic effects in event models
Nodal heterogeneity can induce ghost triadic effects in relational event models
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Spatial matching via conditional GPS removes unmeasured confounding
Adjustment for Unmeasured Spatial Confounding in Settings of Continuous Exposure Conditional on the Binary Exposure Status: Conditional Generalized Propensity Score-Based Spatial Matching
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Penalized likelihood reduces MSE for passage difficulty in count models
Penalized Likelihood Methods for Modeling Count Data
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Ordering pots by S-team count cuts Skip draw distortion
Reducing the non-uniformity of the group draw in sports tournaments
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Selective inference yields valid p-values for estimated neuron spikes
Quantifying uncertainty in spikes estimated from calcium imaging data
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MFM first clusters cohorts then shrinks effects inside groups
Mixture of Finite Mixtures Model for Basket Trial
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Point estimates of power mislead drug development decisions
Decision Making in Drug Development via Inference on Power
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Pointwise measures pick data points to keep multi-variable links
Multivariate Pointwise Information-Driven Data Sampling and Visualization
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Soft training shrinks decision trees while accuracy holds under noise
Decision Tree Learning for Uncertain Clinical Measurements
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ASMC cuts GP training time for large datasets without accuracy loss
Towards Scalable Gaussian Process Modeling
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Distance threshold picks duplex mode to bound local delay in HetNets
Delay Analysis in Full-Duplex Heterogeneous Cellular Networks
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Neural net edges Lasso in child asthma ER visit forecasts
Deep Learning Models to Predict Pediatric Asthma Emergency Department Visits
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Adversarial Siamese net transfers cyber attack detection across networks
Semisupervised Adversarial Neural Networks for Cyber Security Transfer Learning