Results 51 to 60 of about 634,254 (363)
Local Asymptotic Normality in Quantum Statistics [PDF]
Communications in Mathematical Physics, 2007 41 pages, to appear in Commun.
Guţă, Mădălin, Jenčová, Anna
openaire +2 more sources
Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels [PDF]
arXiv.org, 2012 Variational methods for parameter estimation are an active research area, potentially offering computationally tractable heuristics with theoretical performance bounds.
P. Bickel +3 more
semanticscholar +1 more source
On a class of minimum contrast estimators for Gegenbauer random fields
, 2015 The article introduces spatial long-range dependent models based on the fractional difference operators associated with the Gegenbauer polynomials. The results on consistency and asymptotic normality of a class of minimum contrast estimators of long ...
Espejo, R. M. +3 more
core +1 more source
AIMS Mathematics, 2022 In this article, two types of weighted quantile estimators were proposed for nonlinear models with missing covariates. The asymptotic normality of the proposed weighted quantile average estimators was established.
Qiang Zhao +3 more
doaj +1 more source
Local asymptotic normality for qubit states
, 2005 We consider n identically prepared qubits and study the asymptotic properties of the joint state \rho^{\otimes n}. We show that for all individual states \rho situated in a local neighborhood of size 1/\sqrt{n} of a fixed state \rho^0, the joint state ...
A. S. Holevo +12 more
core +1 more source
Random complex zeroes, I. Asymptotic normality [PDF]
Israel Journal of Mathematics, 2004 We consider three models (elliptic, flat and hyperbolic) of Gaussian random analytic functions distinguished by invariance of their zeroes distribution. Asymptotic normality is proven for smooth functionals (linear statistics) of the set of zeroes.
Sodin, Mikhail, Tsirelson, Boris
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
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
doaj +1 more source