Proximal statistic: Asymptotic normality [PDF]
Statistics & Probability Letters, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On the Asymptotic Normality of Adaptive Multilevel Splitting [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2019 38 pages, 5 ...
Cérou, Frédéric +3 more
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Sensitivity of normal-based triple sampling sequential point estimation to the normality assumption [PDF]
, 2013 This article discusses the sensitivity of the sequential normal-based triple sampling procedure for estimating the population mean to departures from normality.
Yousef, A.S., Hamdy, H.I., Kimber, A.C.
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A Conway–Maxwell–Poisson-Binomial AR(1) Model for Bounded Time Series Data
Entropy, 2023 Binomial autoregressive models are frequently used for modeling bounded time series counts. However, they are not well developed for more complex bounded time series counts of the occurrence of n exchangeable and dependent units, which are becoming ...
Huaping Chen, Jiayue Zhang, Xiufang Liu
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Asymptotic normality of extensible grid sampling [PDF]
Statistics and Computing, 2017 Recently, He and Owen (2016) proposed the use of Hilbert's space filling curve (HSFC) in numerical integration as a way of reducing the dimension from $d>1$ to $d=1$. This paper studies the asymptotic normality of the HSFC-based estimate when using scrambled van der Corput sequence as input.
Zhijian He, Lingjiong Zhu
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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
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Austrian Journal of StatisticsThis paper investigates the simultaneous estimation of two drift parameters of a Cox-Ingersoll-Ross (CIR) model, for which observations can be made either continuously or at discrete time instants.
Olha Prykhodko, Kostiantyn Ralchenko
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Integral Least-Squares Inferences for Semiparametric Models with Functional Data
Journal of Applied Mathematics, 2014 The inferences for semiparametric models with functional data are investigated. We propose an integral least-squares technique for estimating the parametric components, and the asymptotic normality of the resulting integral least-squares estimator is ...
Limian Zhao, Peixin Zhao
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Zero-inflated generalized Poisson models with regression effects on the mean, dispersion and zero-inflation level applied to patent outsourcing rates [PDF]
, 2006 This paper focuses on an extension of zero-inflated generalized Poisson (ZIGP) regression models for count data. We discuss generalized Poisson (GP) models where dispersion is modelled by an additional model parameter.
Erhardt, Vinzenz +2 more
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