archive
Every paper Pith has read. Search by title, abstract, or pith.
377 papers in stat.CO · page 5
-
Optimized designs sharpen identifiability of memory effects in solids
Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws
-
Coupled queues sample any downward-closed count distribution
Sampling on Discrete Spaces with Temporal Point Processes
-
Adaptive weights enable bi-level CME selection for GLMs
Adaptive Bi-Level Variable Selection of Conditional Main Effects for Generalized Linear Models
-
Exact TFCE replaces discretization with full cluster retrieval
eTFCE: Exact Threshold-Free Cluster Enhancement via Fast Cluster Retrieval
-
LOO-PIT values depend on each other in finite samples
LOO-PIT predictive model checking
-
Double iteration converges to optimal Tsallis FPD solution
Towards Tsallis Fully Probabilistic Design
-
Proximal correction raises acceptance rates in approximate posterior sampling
Proximal-IMH: Proximal Posterior Proposals for Independent Metropolis-Hastings with Approximate Operators
-
Price's gradient equalizes WVI and BBVI convergence rates
Stochastic Gradient Variational Inference with Price's Gradient Estimator from Bures-Wasserstein to Parameter Space
-
balnet traces balancing weights from max imbalance to user fraction
balnet: Pathwise Estimation of Covariate Balancing Propensity Scores
-
R package quantifies uncertainty for ratios of Poisson means
PoissonRatioUQ: An R package for band ratio uncertainty quantification
-
R package estimates mixed-variable multilayer networks
MixMashNet: An R Package for Single and Multilayer Networks
-
Accuracy does not guarantee posterior match in diffusion solvers
Beyond Accuracy: Evaluating Posterior Fidelity of Diffusion Inverse Solvers
-
Batch size flips Adam momentum bias on flatness
The Effect of Mini-Batch Noise on the Implicit Bias of Adam
-
Vectorized nested sampling runs on GPUs with accurate evidence
Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference
-
SMC along diffusion paths estimates scores for unnormalized targets
Diffusion Path Samplers via Sequential Monte Carlo
-
Variational Bayes speeds sparse probit selection by orders of magnitude
Mean-field Variational Bayes for Sparse Probit Regression
-
Metropolis samplers gain explicit gaps on non-smooth targets
Spectral Gap of Metropolis Algorithms for Non-smooth Distributions under Isoperimetry
-
Latent-IMH draws exact posterior samples using cheap operator approximations
Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
-
Beta Reference Rule speeds bandwidth selection 35,000 times
A Fast, Closed-Form Bandwidth Selector for the Beta Kernel Density Estimator
-
LightSBB-M solves joint drift-volatility plans in few steps
LightSBB-M: Bridging Schr\"odinger and Bass for Generative Diffusion Modeling
-
Wasserstein steepest-ascent flow finds E-optimal designs
Gradient flow for finding E-optimal designs
-
Hamiltonian Monte Carlo explained without physics prerequisites
Hamiltonian Monte Carlo for (Physics) Dummies
-
Any species sampling process has an exact finite-mixture form
Exact two-stage finite-mixture representations for species sampling processes
-
Topology prior recovers time-varying Robin coefficients without distortions
A Bayesian approach with persistent homology prior for Robin coefficient identification in a parabolic problem
-
Duality yields exact inference for Poisson-Dirichlet hidden Markov models
Exact inference via quasi-conjugacy in two-parameter Poisson-Dirichlet hidden Markov models
-
Duality gives exact closed-form inference for Poisson-Dirichlet HMMs
Exact inference via quasi-conjugacy in two-parameter Poisson-Dirichlet hidden Markov models
-
Explicit Koenigs functions derived for Poisson branching
Koenigs functions in the subcritical and critical Markov branching processes with Poisson probability reproduction of particles
-
Bayes quadratic test spots high-dim mean shifts
A Bayes-Motivated Quadratic-Form Test for High-Dimensional Mean Testing
-
Benchmark ranks 29 emulators on 100 problems
All Emulators are Wrong, Many are Useful, and Some are More Useful Than Others: A Reproducible Comparison of Computer Model Surrogates
-
Ensemble filter speeds SMC² inference for epidemic models
Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation
-
A semiparametric estimator models only the dominant signal parametrically while absorbing…
Semiparametric Robust Estimation of Population Location
-
Posterior comparison detects Bayesian model misspecification
Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
-
Nested EnKF in SMC² infers static parameters in nonlinear SSMs
Nested ensemble Kalman filter for static parameter inference in nonlinear state-space models
-
Nonparametric mixtures relax assumptions in partial-mastery diagnosis
A Generalized Additive Partial-Mastery Cognitive Diagnosis Model
-
Deep filter succeeds in 100D Lorenz-96 where particle filters fail
High-dimensional Bayesian filtering through deep density approximation
-
Graph-fused LASSO plus neural decoder clusters nodes by structure and attributes
Decoder-only Clustering in Attributed Graphs
-
Neural-mean GP models Argo data without moving windows
A Neural-Mean Vecchia Gaussian Process for Unified Argo Modeling
-
Multivariate GPs scale Bayesian modeling for mixed spatial data
Scalable Bayesian inference for high-dimensional mixed-type multivariate spatial data
-
Modified post-processing improves coverage in multilevel survey models
Uncertainty Quantification for Multi-level Models Using the Survey-Weighted Pseudo-Posterior
-
New acquisition functions guide Bayesian quadrature integration
Bayesian Active Learning for Bayesian Model Updating: the Art of Acquisition Functions and Beyond
-
Time acceleration stabilizes exponential integrator in overdamped KLMC
Analysis of kinetic Langevin Monte Carlo under the stochastic exponential Euler discretization from underdamped all the way to overdamped
-
Constant-time updates replace full log-rank scans in survival forests
Efficient Log-Rank Updates for Random Survival Forests
-
Volume sampling view gives new analysis for adaptive pivoting
Adaptive randomized pivoting and volume sampling
-
Graph measures on pulsar data detect weak SGWB
Graph-based Summary Statistics for Revealing the Stochastic Gravitational Wave Background in Pulsar Timing Arrays
-
Copulas built by reversing diffusion forgetting of dependencies
Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies
-
Two subsystems interact to keep finite ensembles exactly on target
Divide, Interact, Sample: The Two-System Paradigm
-
Stacking beats voting for obesity risk prediction
Ensemble Learning for Healthcare: A Comparative Analysis of Hybrid Voting and Ensemble Stacking in Obesity Risk Prediction
-
Closed-form posteriors for multi-view covariance estimation
Inference on covariance structure in high-dimensional multi-view data
-
Preconditioning ties sampling bias only to regularization
Preconditioned Regularized Wasserstein Proximal Sampling
-
Law-corrected prior lets GPs model nonlinear PDEs
Gaussian process surrogate with physical law-corrected prior for multi-coupled PDEs defined on irregular geometry