Results 251 to 260 of about 91,156 (303)
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Stat, 2021
A second‐order branching process with continuous state space (SOBPCS) is considered. Maximum likelihood (ML) estimation in SOBPCS is studied under the assumption that the underlying subordinators are gamma processes.
Mukund Ramtirthkar, Mohan Kale
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A second‐order branching process with continuous state space (SOBPCS) is considered. Maximum likelihood (ML) estimation in SOBPCS is studied under the assumption that the underlying subordinators are gamma processes.
Mukund Ramtirthkar, Mohan Kale
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Asymptotic normality and optimality in nonsmooth stochastic approximation
Annals of Statistics, 2023In their seminal work, Polyak and Juditsky showed that stochastic approximation algorithms for solving smooth equations enjoy a central limit theorem. Moreover, it has since been argued that the asymptotic covariance of the method is best possible among ...
Damek Davis +2 more
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2000
The classical theory of asymptotics in statistics relies heavily on certain local quadratic approximations to the logarithms of likelihood ratios. Such approximations will be studied here but in a restricted framework.
Lucien Le Cam, Grace Lo Yang
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The classical theory of asymptotics in statistics relies heavily on certain local quadratic approximations to the logarithms of likelihood ratios. Such approximations will be studied here but in a restricted framework.
Lucien Le Cam, Grace Lo Yang
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Locally Asymptotically Normal Families
1990The classical theory of asymptotics in Statistics relies heavily on certain local quadratic approximations to the logarithms of likelihood ratios. Such approximations will be studied here but in a restricted framework.
Lucien Le Cam, Grace Lo Yang
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LOCAL ASYMPTOTIC NORMALITY OF TRUNCATION MODELS
Statistics & Risk Modeling, 1999Summary: We consider iid random elements \(X_1, \dots, X_n\) with values in some measurable space \((S,{\mathcal B})\). Suppose that we are only interested in those observations among \(X_1, \dots, X_n\) which fall into some subset \(D\in {\mathcal B}\) having but a small probability of occurence.
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A uniform condition of local asymptotic normality
Journal of Soviet Mathematics, 1986Translation from Zap. Nauchn. Semin. Leningr. Otd. Mat. Inst. Steklova 74, 108-117 (Russian) (1977; Zbl 0416.60020).
Ibragimov, I. A., Khas'minskij, R. Z.
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Local Asymptotic Normality of the Spectrum of High-Dimensional Spiked F-Ratios
, 2014We consider two types of spiked multivariate F distributions: a scaled distribution with the scale matrix equal to a rank-k perturbation of the identity, and a distribution with trivial scale, but rank-k non-centrality.
Prathapasinghe Dharmawansa +2 more
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Local Asymptotic Normality for Stochastic Processes
2000Lucien LeCam established the most important and sophisticated foundation of the general statistical asymptotic theory. He introduced the concept of local asymptotic normality (LAN) for the likelihood ratio of general statistical models. Once LAN is proved, the asymptotic optimality of estimators and tests is described in terms of the LAN property.
Masanobu Taniguchi, Yoshihide Kakizawa
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Local asymptotic normality of sampling experiments
Probability Theory and Related Fields, 1985Following \textit{J. Hájek}'s [Ann. Math. Stat. 35, 1491-1523 (1964; Zbl 0138.133)] and \textit{W. G. Madow}'s [ibid. 19, 535-545 (1948; Zbl 0037.086)] asymptotic approach to classical survey sampling, a framework for the asymptotic analysis of superpopulation models is proposed.
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Conditions of Local Asymptotic Normality for Gaussian Stationary Processes
Journal of Mathematical Sciences, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Solev, V. N., Zerbet, A.
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