Statistics articles

Time frame: 1 May 2025 - 30 April 2026

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Count: 120

Article ‘Count’ for Statistics.

Journal Count
1
The Trade-Off between Flexibility and Robustness in Instrumental Variables Analysis
1
How Not to Do WLS Fitting in Calibration with Heteroscedastic Data
2
An approach to universality using Weyl m-functions
A new approach to strong convergence
1
Construct Validity and Reliability of the Comprehensive Complication Index as a Morbidity Outcome Measure in Pancreatic Surgery.
1
Comparing clustering approaches for smart meter time series: Investigating the influence of dataset properties on performance
5
The RCS-E is Predictive of Outcomes and Resource Allocation in a Large Neuromotor Rehabilitation Setting
Development and Evaluation of an Item Pool of “Movement-Related Body Functions in the Context of Task Performance”
Development and Preliminary Examination of a Fidelity Assessment for the Spinal Cord Injury Movement Index (SCI-MovIn)
Development of Interview and Online Self-Report Versions of Motor and Sensory Components of a Neurological Exam for Classifying Spinal Cord Injury (One-SCI)
Measuring health-related quality of life in upper-extremity vascularized composite allotransplantation: Development of new patient-reported outcome items for hand transplant
1
Inferring planet occurrence rates from radial velocities
1
Win Ratio Analysis to Clarify Clinical Benefits
1
Evaluating Desirability of Outcome Ranking (DOOR) and Win Ratio for Hierarchical Composite Endpoints in Cryptococcal Meningitis Trials
3
Adapting to Misspecification
Gaussian Transforms Modeling and the Estimation of Distributional Regression Functions
Fisher–Schultz Lecture: Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, With an Application to Immunization in India
3
Joint Estimation Method of State and Parameter of Digital Twin Model Based on Adaptive Ensemble Kalman Particle Filter
Dynamic Data Reconciliation Algorithms and State Evaluation Methods for Micro Gas Turbine Operating Parameters
A framework for global sensitivity analysis in long-term energy systems planning using optimal transport
6
Approaches to the inverse Fourier transformation with limited and discrete data
On frequentist confidence intervals in a non-Gaussian regime
Markov modeling of performance deterioration in irradiated resistive plate chambers
Implementing errors on errors: Bayesian vs frequentist
stanhf: HistFactory models in the probabilistic programming language Stan
Gaussian process regression as a sustainable data-driven background estimate method at the (HL)-LHC
1
Apparent Heavy Tails of Sub-Daily Precipitation Explained by the Coexistence of Lighter-Tailed Processes
3
The Constitutional Filter: Bayesian Estimation of Compliant Agents
DnD Filter: Differentiable State Estimation for Dynamic Systems using Diffusion Models
Feasibility Analysis of real-time Robustness Certification
1
The shapes of complementary subsurfaces to simple closed hyperbolic multi-geodesics
1
Psychometric Properties and Feasibility of PROMIS Computerized Adaptive Tests Compared with Disease-Specific Measures in Knee Arthroplasty.
6
Gaussian processes for inferring parton distributions
Exploring the BSM parameter space with neural network aided Simulation-Based Inference
Free probability approach to spectral and operator statistics in Rosenzweig-Porter random matrix ensembles
Spectral form factor of quadratic R-para-particle SYK model with random matrix coupling
Inequalities for Standard Model Yukawa couplings
Goldilocks and the bootstrap
2
When Is the Use of Gaussian-Inverse Wishart-Haar Priors Appropriate?
Selecting Penalty Parameters of High-Dimensional M-Estimators Using Bootstrapping after Cross Validation
1
<atl>Can the Modified Caregiver Strain Index Serve as a Proxy for the Zarit Burden Interview? Insights From an Established scpGUIDE/scp Participating Organization</atl>
40
Stratum order-of-addition designs
Gaussianized design optimization for covariate balance in randomized experiments
Byzantine-tolerant distributed learning of finite mixture models
Generalized point process additive models
Combining evidence across filtrations
Nonparametric inference for censored data using deep neural networks
Double cross-fit doubly robust estimators: Beyond series regression
Anytime validity is free: inducing sequential tests
Pitman efficiency lower bounds for multivariate distribution-free tests based on optimal transport
Penalized empirical likelihood over decentralized networks
Inference on function-valued parameters using a restricted score test
Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models
Skew-symmetric approximations of posterior distributions
A new integrative learning framework for integrating multiple secondary outcomes into primary outcome analysis: a case study on liver health
Multi-task learning for sparsity pattern heterogeneity: statistical and computational perspectives
Mixing time of the conditional backward sampling particle filter
Bayesian quantile estimation and regression with martingale posteriors
Inference with Mondrian random forests
DecoR: deconfounding time series with robust regression
Coloured Gaussian directed acyclic graphical models
Self-organizing state-space models with artificial dynamics
Minimax and adaptive transfer learning for nonparametric classification under distributed differential privacy constraints
Generalized universal inference on risk minimizers
Bayesian analysis of product feature allocation models
Bootstrapping estimators based on the block maxima method
A stratified iL/i2-discrepancy with application to space-filling designs
Wasserstein generative regression
Statistical ranking with dynamic covariates
Censored quantile regression with time-dependent covariates
Doubly robust conditional independence testing with generative neural networks
Least squares for cardinal paired comparisons data
Orthogonalized moment aberration for mixed-level multi-stratum factorial designs with partially-relaxed orthogonal block structures
Regularized halfspace depth for functional data
Goodness-of-fit tests for high-dimensional Gaussian graphical models via exchangeable sampling
Improving the false coverage rate adjusted confidence intervals
An optimal design framework for lasso sign recovery
Bayesian mixture models with repulsive and attractive atoms
A statistical view of column subset selection
Unbiased and consistent nested sampling via sequential Monte Carlo
SymmPI: predictive inference for data with group symmetries
1
A Unified Spatiotemporal Failure Law for Polymer Chains
10
Reliable uncertainty estimates in deep learning with efficient Metropolis-Hastings algorithms
Benchmarking cell type and gene set annotation by large language models with AnnDictionary
Estimating disorder probability based on polygenic prediction using the BPC approach
Microbiome data integration via shared dictionary learning
Increasing certainty in systems biology models using Bayesian multimodel inference
Adaptive resetting for informed search strategies and the design of non-equilibrium steady-states
Characterisation of between-cluster heterogeneity in malaria cluster randomised trials to inform future sample size calculations
Flow perturbation to accelerate Boltzmann sampling
Estimating small area population from health intervention campaign surveys and partially observed settlement data
Identification of predictive subphenotypes for clinical outcomes using real world data and machine learning
1
Statistical construction of calibrated prediction intervals for polygenic score-based phenotype prediction
1
MaAsLin 3: refining and extending generalized multivariable linear models for meta-omic association discovery
1
Topological sensing in the dynamics of quantum walks with defects
1
Testing models for angular power spectra: A distribution-free approach
18
Critical Dynamics of the Anderson Transition on Small-World Graphs
Fokker-Planck Equation Governing the Distribution of Walkers in Auxiliary-Field Quantum Monte Carlo
Mutual Linearity Is a Generic Property of Steady-State Markov Networks
Self-Replication of Turbulent Puffs: On the Edge between Chaotic Saddles
Number of Local Minima in Discrete-Time Fractional Brownian Motion
Beyond Poisson: First-Passage Asymptotics of Renewal Shot Noise
Damage Scaling Laws at Crack Tip in Disordered Materials
Correcting Systematic Parametrization Errors in Underdamped Langevin Models of Molecular Dynamics Trajectories
Field Digitization Scaling in a ℤ𝑁⊂𝑈⁡(1) Symmetric Model
Nonmonotonic Roughness Evolution in Film Growth on Weakly Interacting Substrates
Entropic Balance with Feedback Control: Information Equalities and Tight Inequalities
Target Search Optimization by Threshold Resetting
Nested Stochastic Resetting: Nonequilibrium Steady States and Exact Correlations
Principled Model Selection for Stochastic Dynamics
Exact Large-Scale Correlations in Diffusive Systems with General Interactions
Linear Scaling Causal Discovery from High-Dimensional Time Series by Dynamical Community Detection
Stochastic Resetting Prevails Over Sharp Restart for Broad Target Distributions
Persistence Exponents of Self-Interacting Random Walks
2
Emergent Random Matrix Universality in Quantum Operator Dynamics
Generalized Statistics on Lattices
1
Asymptotic distribution of the Betti numbers of M0,n
1
Distributional bias compromises leave-one-out cross-validation
1
Structural Estimation Under Misspecification: Theory and Implications for Practice
1
Hierarchical ventilator-free days with win method in acute respiratory distress syndrome treatment

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