archive
Every paper Pith has read. Search by title, abstract, or pith.
377 papers in stat.CO · page 1
-
Adaptive sampling tunes stochastic simulators to data trajectories
Trajectory-Oriented Optimization Via Adaptive Thompson Sampling And Grid Refinement: A Tutorial With The ADAPTIVE\_TS Package
-
Directional selection prevents trapping in subset simulation
Directional subset simulation method for reliability analysis
-
Discrepancy adjustment yields better MFMC estimators with few pilots
Sample correlation adjustments for robust Multi-fidelity Monte Carlo under limited pilot sampling
-
Diffusion model generates continuous survival times from censored data
SDPM: Survival Diffusion Probabilistic Model for Continuous-Time Survival Analysis
-
Reassortant H5N1 lineages predict higher Canadian wildlife detections
Spatiotemporal dynamics and ecological risk factors of highly pathogenic avian influenza A(H5N1) in Canadian wildlife: A One Health surveillance analysis
-
R package animates biplots to track data evolution over categories
moveEZ: An R Package for Animated Biplots
-
Tutorial shows Eigen C++ code for ML algorithms with Python links
Eigen for Statistical and Machine Learning Computing: A Lightweight C++ Tutorial with Python Bindings
-
Infinite proposal limit yields new MCMC algorithms
Mad Props: Parallelism in Markov Chain Monte Carlo Through the Lens of the Infinite Proposal Limit
-
Truncation makes neural likelihood work for long state sequences
Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models
-
SPICE engine scales explanatory IRT to sparse adaptive data
A Scalable Parametric Item Calibration Engine (SPICE) for Explanatory IRT with Sparse Data
-
Tempered posteriors yield near-optimal dimension reduction spaces
Likelihood-informed dimension reduction across tempered Bayesian posteriors
-
Augmented Gaussian filter interpolates between sums and particles
A Gaussian Sum Filter for Unifying Gaussian and Particle Filters
-
Adaptive sampler fixes efficiency drop in elliptical slice sampling
Adaptive Generalized Elliptical Slice Sampling
-
Similarity-driven proposals guide MCMC on discrete spaces
Similarity-Driven Proposals for MCMC Algorithms on Discrete Spaces
-
Direct estimation stabilizes single-index models with dynamic boundaries
Stable direct estimation for GPLSIAMs using P-splines with dynamically updated boundaries
-
Amortized resampling yields 2-3x compute gains for diffusion teachers
Variance Reduction for Expectations with Diffusion Teachers
-
Amortized noise sampling cuts diffusion teacher variance 10x
Variance Reduction for Expectations with Diffusion Teachers
-
Particle filter yields Bayesian estimates for epidemic branching models
Particle filtering methods for partially observed branching processes
-
New model detects category shifts in periodic time series
Changepoint Detection in Categorical Time Series with Application to Daily Total Cloud Cover in Canada
-
Separable covariance links functional data to matrix distributions
Explainable Outlier Detection for Multivariate Functional Data
-
Semi-parametric BART separates covariates from epigenetic trees
Semi-Parametric Bayesian Additive Regression Trees for Risk Prediction with High-Dimensional Epigenetic Signatures and Low-Dimensional Covariates
-
R package models marked point processes with location-dependent marks
ldmppr: Location Dependent Marked Point Processes in R
-
Orthonormal matrices minimize worst-case sketched least-squares error
Sharp analysis of sketched least squares and randomized low-rank approximation
-
Girsanov path weights recover exact particle SMC for diffusion guidance
SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
-
-
Sampling error fades before full population coverage
Finite Population Sampling as n to N: Empirical Evidence for the Transition from Inference to Accuracy
-
Random spanning trees reduce contrast loss in image priors
Random spanning tree Markov random field priors for Bayesian inverse problems in imaging
-
LLM generates MCMC samplers from natural language descriptions
AI4BayesCode: From Natural Language Descriptions to Validated Modular Stateful Bayesian Samplers
-
n-dependent sampler matches minimax rates for kernel quadrature
Optimal Sampling for Kernel Quadrature on Unbounded Domains
-
Linear-rate rates close infinite ODEs into finite systems
Solving linear-rate ODE hierarchies (like master equations) using closures and operator splitting
-
Fairness layer guarantees output parity in neural networks
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
-
Cubing strategy finds stable regions for calibrated dropout uncertainty
A Cubing Strategy for Identifying Stable Hyperparameter Regions for Uncertainty Quantification in Spatial Deep Learning
-
REX-SUB picks subsamples that cut spatial prediction errors
REX-SUB: A Scalable Subsampling Strategy for Modeling Large Spatial Datasets
-
R package manages cross-fitting via DAGs of nuisance models
crossfit: A Graph-Based Cross-Fitting Engine in R
-
RJMCMC enables non-conjugate ddCRP inference
Bayesian Inference for Non-Conjugate Distance Dependent Chinese Restaurant Process Models
-
Heterogeneity identifies DAG orderings up to two permutations
Leveraging heterogeneity for identifiability: Bayesian order-based learning of multiple DAGs
-
Mean shift particles approximate integrals from unnormalized densities
To discretize continually: Mean shift interacting particle systems for Bayesian inference
-
Regret equals covariance between costs and decisions
Regret Equals Covariance: A Closed-Form Characterization for Stochastic Optimization
-
Estimator flags noisy eigenvalues in finite data spectra
Sampling pseudospectrum for data-driven matrices
-
Valiant learnability equals poly-size query compression
What is Learnable in Valiant's Theory of the Learnable?
-
R package enables real-time GPU monitoring inside workflows
CudaMon: An R Package to Monitor NVIDIA GPUs, Showcased by Monitoring a GPU-accelerated Single-cell Analysis Workflow in R
-
Package turns anomaly scores into calibrated p-values
Conformal Anomaly Detection in Python: Moving Beyond Heuristic Thresholds with 'nonconform'
-
Density overlaps cause UAV attack misclassifications
XAI and Statistical Analysis for Reliable Intrusion Detection in the UAVIDS-2025 Dataset: From Tree to Hybrid and Tabular DNN Ensembles
-
Stabilised weights speed up recursive likelihood inference
Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods
-
The paper proposes a likelihood-free Bayesian filtering method using coupling-informed…
Coupling-Informed Transport Maps for Bayesian Filtering in Nonlinear Dynamical Systems
-
Neural nets learn time series clusters from simulations
Amortized Neural Clustering of Time Series based on Statistical Features
-
Bayesian model represents brain networks as mixtures of latent templates
A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
-
Array-RQMC cuts walk-on-spheres variance by up to 2290 times
Walk on spheres and Array-RQMC
-
Adaptive multi-marginal couplings cut MCMC meeting times by half
Multi-Marginal Couplings for Metropolis-Hastings
-
Entropy-maximizing resampling mixes across disconnected manifolds
Manifold Sampling via Entropy Maximization