Showing 1–20 of 22 results
/ Date/ Name
Feb 21, 2015Central limit Theorem for an Adaptive Randomly Reinforced Urn ModelSep 23, 2025Sharp Large Deviations and Gibbs Conditioning for Threshold Models in Portfolio Credit RiskJun 9, 2025A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow ModelingMar 11, 2011Tail estimates for stochastic fixed point equations via nonlinear renewal theoryJul 5, 2004Local limit theory and large deviations for supercritical Branching processesFeb 14, 2007Corrections and acknowledgment for ``Local limit theory and large deviations for supercritical branching processes''Jan 24, 2025Private Minimum Hellinger Distance Estimation via Hellinger Distance Differential PrivacyJan 27, 2025Ancestral Inference and Learning for Branching Processes in Random EnvironmentsApr 9, 2016DSRS: Estimation and Forecasting of Journal Influence in the Science and Technology Domain via a Lightweight Quantitative ApproachFeb 7, 2024Functional limit laws for the intensity measure of point processes and applicationsDec 13, 2025Hellinger loss function for Generative Adversarial NetworksJan 26, 2026Accelerated design of proton exchange membranes for green hydrogen production with artificial intelligenceJul 17, 2011Rare event simulation for processes generated via stochastic fixed point equationsDec 24, 2009Weak Convergence Results for Multiple Generations of a Branching ProcessFeb 24, 2010Asymptotic inference for high-dimensional dataMay 4, 2024Grouping predictors via network-wide metricsNov 22, 2025Divergence-Minimization for Latent-Structure Models: Monotone Operators, Contraction Guarantees, and Robust InferenceOct 15, 2025Minimum Hellinger Distance Estimators for Complex Survey DesignsAug 27, 2020Analytical and statistical properties of local depth functions motivated by clustering applicationsApr 29, 2025DICOM Compatible, 3D Multimodality Image Encryption using Hyperchaotic Signal