Results 1 to 10 of about 91,156 (303)
Local asymptotic normality in {\delta}-neighborhoods of standard generalized Pareto processes [PDF]
De Haan and Pereira (2006) provided models for spatial extremes in the case of stationarity, which depend on just one parameter {\beta} > 0 measuring tail dependence, and they proposed different estimators for this parameter.
Aulbach, Stefan, Falk, Michael
core +4 more sources
On local asymptotic normality for functional autoregressive processes
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Nesrine Kara-Terki, T. Mourid
semanticscholar +4 more sources
Local Asymptotic Normality Complexity Arising in a Parametric Statistical Lévy Model
We consider statistical experiments associated with a Lévy process X=Xtt≥0 observed along a deterministic scheme iun, 1≤i≤n. We assume that under a probability ℙθ, the r.v.
Wissem Jedidi
doaj +2 more sources
Local asymptotic normality for qubit states [PDF]
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
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Scalable Monte Carlo Inference and Rescaled Local Asymptotic Normality [PDF]
Statisticians are usually glad to obtain additional data, but Monte Carlo inference can lead to an embarrassment of riches since the appealing generality of Monte Carlo methods can come at the expense of poor scalability.
Ning Ning, E. Ionides, Y. Ritov
semanticscholar +4 more sources
Local Asymptotic Normality in Quantum Statistics [PDF]
The theory of local asymptotic normality for quantum statistical experiments is developed in the spirit of the classical result from mathematical statistics due to Le Cam.
M. Guţă, A. Jenčová
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Quantum local asymptotic normality based on a new quantum likelihood ratio [PDF]
We develop a theory of local asymptotic normality in the quantum domain based on a novel quantum analogue of the log-likelihood ratio. This formulation is applicable to any quantum statistical model satisfying a mild smoothness condition.
Fujiwara, Akio +2 more
core +5 more sources
Empirical Lossless Compression Bound of a Data Sequence [PDF]
We consider the lossless compression bound of any individual data sequence. Conceptually, its Kolmogorov complexity is such a bound yet uncomputable. According to Shannon’s source coding theorem, the average compression bound is nH, where n is the number
Lei M. Li
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Diffusions with measurement errors. I. Local Asymptotic Normality [PDF]
Summary: We consider a diffusion process \(X\) which is observed at times \(i/n\) for \(i=0,1,\dots,n\), each observation being subject to a measurement error. All errors are independent and centered Gaussian with known variance \(\rho_n\). There is an unknown parameter within the diffusion coefficient, to be estimated.
A. Gloter, J. Jacod
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Local Asymptotic Normality for Finite Dimensional Quantum Systems [PDF]
Previous results on local asymptotic normality (LAN) for qubits [16, 19] are extended to quantum systems of arbitrary finite dimension d. LAN means that the quantum statistical model consisting of n identically prepared d-dimensional systems with joint ...
J. Kahn, M. Guţă
semanticscholar +3 more sources

