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Every paper Pith has read. Search by title, abstract, or pith.
792 papers in stat.AP · page 15
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Laplace fields improve spatial predictions for spiky data
Bayesian Analysis of Spatial Generalized Linear Mixed Models with Laplace Random Fields
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Independence separates EHR phenotypes to match disease mechanisms
Computational Phenotype Discovery via Probabilistic Independence
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R package BSL unifies methods for intractable likelihood models
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood
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Dockless bikes draw 64% member users
Comparative Analysis of User Behavior of Dock-Based vs. Dockless Bikeshare and Scootershare in Washington, D.C
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Commitment data produces distinct AFL motion models
Fitting motion models to contextual player behavior
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Boomerang tin toy teaches split-plot experiment design
Teaching Split Plot Experiments With a Boomerang Tin
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Elliptical model fits US UK German stocks but not always China
Testing new property of elliptical model for stock returns distribution
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Calibration uncertainty halves ammonia trend detections
Uncertainty in the MAN Data Calibration & Trend Estimates
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Joint model lifts risk forecasts at thin gas hubs
Multivariate Modeling of Natural Gas Spot Trading Hubs Incorporating Futures Market Realized Volatility
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Movement estimates accurate if observations <5x average turn interval
Approximate Bayesian inference for a "steps and turns" continuous-time random walk observed at regular time intervals
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Conjugate updates enable exact Bayesian interpolation for millions of spatial points
Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data
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Laplace proxy converts variational estimates into posterior samples for network models
Bayesian inference for network Poisson models
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Outlier removal shapes IgA reference intervals more than calculation methods
An Investigation into Outlier Elimination and Calculation Methods in the Determination of Reference Intervals using Serum Immunoglobulin A as a Model Data Collection
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Deep learning predicts legislator ideology from Facebook photos
Understanding the Political Ideology of Legislators from Social Media Images
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Regularized change points cluster goat milking curves
A novel regularized approach for functional data clustering: An application to milking kinetics in dairy goats
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Spectral radius from random matrices flags grid anomalies early
Early Anomaly Detection in Power Systems Based on Random Matrix Theory
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PARCOR models lower dimension for multivariate time series
Efficient Bayesian PARCOR Approaches for Dynamic Modeling of Multivariate Time Series
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Vine-copula HAR beats linear version in volatility forecasts
A Vine-copula extension for the HAR model
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Extended multi-Gaussian model gives volume uncertainty without simulations
A general approach to the assessment of uncertainty in volumes by using the multi-Gaussian model
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Short histories recover hidden manifold for density transport
A geometric approach to the transport of discontinuous densities
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Enhanced SPC detects hierarchical healthcare cost drivers
A Systematic Approach to Detect Hierarchical Healthcare Cost Drivers and Interpretable Change Patterns
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Verification overlap inflates monsoon onset skill scores
Artificial skill in monsoon onset prediction: two recent examples
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Quantile inequality measures get reliable intervals from grouped data
Interval estimators for inequality measures using grouped data
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Causation signals differ from association signals in schizophrenia
Genome-wide Causation Studies of Complex Diseases
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Three clusters capture activity-travel patterns across three decades
Clustering Activity-Travel Behavior Time Series using Topological Data Analysis
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Mixture model clusters anomalies by latent extreme-value types
A Multivariate Extreme Value Theory Approach to Anomaly Clustering and Visualization
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Forkable agents crowd-source prediction streams
Self Organizing Supply Chains for Micro-Prediction: Present and Future uses of the ROAR Protocol
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Coordinated RRH transmission reaches five-nines reliability
Achieving Ultra-Reliable Communication via CRAN-Enabled Diversity Schemes
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rcosmo handles non-CMB spherical data in R
Spherical data handling and analysis with R package rcosmo
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Seven ordered chains of post-LVAD complications identified
Sequential Pattern mining of Longitudinal Adverse Events After Left Ventricular Assist Device Implant
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Modified trimmed mean down-weights meta-analysis outliers
Outliers in meta-analysis: an asymmetric trimmed-mean approach
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Spatial SAEM and change point tests flag fibre anomalies
Detecting anomalies in fibre systems using 3-dimensional image data
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Audits bound 85% of suspicious callback patterns as illegal discrimination
Audits as Evidence: Experiments, Ensembles, and Enforcement
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Multivariate test spots faller posture differences missed by standard stats
Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning
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Posterior predictive pruning extends to time-varying treatments
Posterior Predictive Treatment Assignment Methods for Causal Inference in the Context of Time-Varying Treatments
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Shadow annealing optimizes unknown criteria
Shadow Simulated Annealing algorithm: a new tool for global optimisation and statistical inference
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Regularized EM selects features in expert mixture models
Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models
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Stochastic car model ties randomness to low-speed instability
Langevin method for a continuous stochastic car-following model and its stability conditions
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Clustering by extremal dependence divides rainfall stations into regions
A Regionalisation Approach for Rainfall based on Extremal Dependence
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Risk thresholds cut prostate biopsies from 10 to 4 with similar delay
Personalized Decision Making for Biopsies in Prostate Cancer Active Surveillance Programs
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Chinese online daters spread across many regions
The Geography of Love: Decoding the Spatial Pattern and Digital Self in Chinese Online Courtship
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Panel fusion scales via partitioned min-cost flow
Scalable Panel Fusion Using Distributed Min Cost Flow
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Gaussian processes locate AV performance boundaries
Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification
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Eight flaws undermine acute:chronic workload ratio thresholds
The acute:chronic workload ratio: challenges and prospects for improvement
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Phone data clusters city days by presence patterns
The HOG-FDA Approach with Mobile Phone Data to Modeling the Dynamic of People's Presences in the City
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Dynamical models attribute risk rises to specific past inputs
Explaining an increase in predicted risk for clinical alerts
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Graphical models resolve mediation direction in HIV symptoms
Identifying mediating variables with graphical models: an application to the study of causal pathways in people living with HIV
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Model life-cycle gains a standard process like software engineering
Model Development Process
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New ESS definition adds exactly N after N observations
Predictively Consistent Prior Effective Sample Sizes
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Correlated sparsity models brain network dependencies in fMRI
Functional Brain Networks Discovery Using Dictionary Learning with Correlated Sparsity