statistics-and-probability

Documents about statistics-and-probability

• Evaluating configurational comparative methods for analysing complex causal relationships in implementation science#358951OSF
• A review of probability of detection evaluation for acoustic emission and ultrasonic testing in composite structures: context-dependent reliability for inspection planning#413419Universiti Putra Malaysia Institutional Repository
• Ratios of partition functions for the log-gamma polymer#954808Koc University Digital Collections
• Fluid flow in micro-channels: A stochastic approach#957719Louisiana Tech Digital Commons
• Adaptive Feature Engineering Modeling for Ultrasound Image Classification for Decision Support#958425Louisiana Tech Digital Commons
• Large Language Models for Statistical Analysis: Can they Replace Domain-Specific Software Packages?#214434OSF
• Testing the Probabilistic Calibration of NBA Trade Markets#305970ScholarlyCommons at Penn
• Probabilistic inference of surface parameters for Monin-Obukhov similarity theory#674551arXiv (OAI Expanded)
• Probabilistic inference of surface parameters for Monin-Obukhov similarity theory#677761arXiv (All)
• Full-length de novo viral quasispecies assembly through variation graph construction#779320Bielefeld Pub
• Finding the distribution of matter using lenses - I: deconvolution-based reconstruction with CMB lensing#985810arXiv (All)
• Combinations of measurements that are simultaneous fits of parameters of interest and systematic uncertainties using the BLUE method#998990arXiv (All)
• Timbre Analysis of the Hulusi, a Southwestern Chinese Free-Reed Instrument, using Machine Learning#1011344arXiv (All)
• Modernization and Statistical Validation of a Multilayer TRIM.SP Code for Low-Energy Muon and Ion Implantation#809572arXiv (OAI Expanded)
• Modernization and Statistical Validation of a Multilayer TRIM.SP Code for Low-Energy Muon and Ion Implantation#819568arXiv (All)
• Difficulties in Learning Basic Concepts in Probability and Statistics: Implications for Research.#198370ERIC
• DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection#682416arXiv (OAI Expanded)
• DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection#684191arXiv (All)
• Pairwise Distance-Diffusion Analysis (PDDA): A Geometric Framework for Estimating Hurst Exponents in Multivariate Long-Memory Processes#927318arXiv (All)
• MODERN ADVANCES IN ACCOUNTING FOR UNMEASURED CONFOUNDING VIA SENSITIVITY ANALYSIS#929322ScholarlyCommons
• Determining low-$\ell$ p-mode frequency shifts in Sun-like stars: Enhancing the cross-correlation technique with filters#614367arXiv (OAI Expanded)
• Determining low-$\ell$ p-mode frequency shifts in Sun-like stars: Enhancing the cross-correlation technique with filters#615334arXiv (All)
• Small time path behavior of double stochastic integrals and applications to stochastic control#934626Koc University Digital Collections
• Non-Hermitean Wishart random matrices (I)#971596arXiv (All)
• Finding the distribution of matter using lenses - II: deconvolution-based reconstruction with 3x2pt measurements#985813arXiv (All)
• Decomposition Pipeline for Large-Scale Portfolio Optimization with Applications to Near-Term Quantum Computing#999626arXiv (All)
• NestyNet. I. Physics Functions Are Hard to Fit with Neural Networks: A Framework for Accurate Surrogates and Analytic Derivatives#668661arXiv (OAI Expanded)
• NestyNet. I. Physics Functions Are Hard to Fit with Neural Networks: A Framework for Accurate Surrogates and Analytic Derivatives#670726arXiv (All)
• Non-asymptotic bounds for the average singular value of a complex Gaussian matrix#984697arXiv (All)
• Prediction of remaining life of power transformers based on left truncated and right censored lifetime data#168019Iowa State University Digital Repository
• BEYOND GENE EXPRESSION: COMPUTATIONAL METHODS FOR ISOFORM AND CLONAL DYNAMICS IN SINGLE-CELL RNA SEQUENCING#929426ScholarlyCommons
• Selectivity- and Activity-Aware Catalyst Descriptors for CO$_2$ Hydrogenation on Alloy Nanocatalysts using Machine-Learned Force Fields#998221arXiv (All)
• Beyond Rough Volatility: Decoupling Memory and Scaling via a Generalized Langevin Equation#1034061arXiv (All)
• Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history#128417arXiv (OAI)
• Sharp Decoupling Inequalities for the Variances and Second Moments of Sums of Dependent Random Variables#987533arXiv (All)
• Bayesian Sparse Propensity Score Estimation for Unit Nonresponse#168016Iowa State University Digital Repository
• Changes in the Incidence, Viral Coinfection Pattern and Outcomes of Pneumococcal Hospitalizations During and After the COVID-19 Pandemic#450524Scholar Commons
• Climate-model factor separation with Shapley values and efficient sampling#999933arXiv (All)
• Hierarchical models for sport fish escapement probability and growth by modeling latent time-varying length#685202Iowa State University Digital Repository
• Application of Response Surface Methods To Determine Conditions for Optimal Genomic Prediction#211187Iowa State University Digital Repository
• The Real Estate Gamble: Drivers of Approval-to-Construction Timelines in San Francisco#251899ScholarlyCommons at Penn
• p-Uniform* is an Estimator of the Three-Parameter Selection Model: Commentary on van Aert and van Assen (2026)#203499OSF
• Neural-Network Maxent: a general extension with learned nonlinearity, applied to time-series for Desert Locust distribution modelling#926507arXiv (All)
• "Duel" Diligence: Second Thoughts About the Supremes as the Sultans of Swing#1019442Scholarship@Vanderbilt Law
• Statistical Methods for Degradation Data with Dynamic Covariates Information and an Application to Outdoor Weathering Data#168015Iowa State University Digital Repository
• Cramer-Rao bound and optimal amplitude estimator of superimposed sinusoidal signals with unknown frequencies#957732Louisiana Tech Digital Commons
• Exact affine conditioning beyond Gaussians: a unique characterization of the ensemble Kalman update#927169arXiv (All)
• Analysis of mixed radiation fields at the MoEDAL experiment based on real-time data from a Timepix detector network#1014692arXiv (All)
• A stochastic representation for mean curvature type geometric flows#934695Koc University Digital Collections
• Learning algorithms to evaluate forensic glass evidence#211184Iowa State University Digital Repository