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Moment method

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lightbulbAbout this topic
The moment method is a statistical technique used to estimate parameters of a probability distribution by equating sample moments (mean, variance, etc.) to theoretical moments derived from a specified distribution. This method facilitates the estimation of distribution parameters without requiring full knowledge of the underlying probability density function.
lightbulbAbout this topic
The moment method is a statistical technique used to estimate parameters of a probability distribution by equating sample moments (mean, variance, etc.) to theoretical moments derived from a specified distribution. This method facilitates the estimation of distribution parameters without requiring full knowledge of the underlying probability density function.

Key research themes

1. How can singular and truncated moment matrix properties determine the existence and uniqueness of representing measures in moment problems?

This theme focuses on the structural characteristics of moment matrices, especially singularity and flat extension properties, and their implications for solving truncated moment problems. It emphasizes how positivity, recursive generation, and rank conditions of associated moment matrices govern the existence, uniqueness, and minimal atomicity of representing measures. Insights here provide foundational criteria to address representability in complex moment problems and their minimal quadrature rules.

Key finding: This work delivers a comprehensive solution to the quartic moment problem under the singularity of the moment matrix M(2)(γ), establishing that the existence and uniqueness of representing measures rely on the positivity and... Read more
Key finding: This paper analyzes truncated indefinite Stieltjes moment problems by leveraging generalized Stieltjes functions and representing their solutions via a Schur stepwise algorithm linked to continued fraction expansions. It... Read more
Key finding: The study addresses the truncated operator trigonometric moment problem in Hilbert spaces and establishes necessary and sufficient positivity conditions for solvability of the moment equations involving bounded operators.... Read more

2. What numerical and analytical techniques can be used to compute or approximate moment integrals and heat kernels for stochastic and physical processes?

This theme encompasses the development of computational methods and analytical approximations for moment integrals, heat kernels, and related kernels arising in stochastic processes and physical models such as diffusion, degradation, and quantum systems. It covers methods including moment recursion relations, Bell polynomial expansions, discrete Green’s theorem-based algorithms, and operator-theoretic expansions, aimed at efficient, precise, or series-based evaluation of complex integrals or probability functions without direct integration, facilitating applications in option pricing, stochastic modeling, and image analysis.

Key finding: This paper implements Bell’s polynomials as a combinatorial and analytic tool to efficiently approximate moments of generalized Gaussian distributions. By reformulating moment derivatives of composite exponential functions... Read more
Key finding: Introducing a hierarchical approach based on image moment invariants and binary space partitioning (bsp) trees, this work reconstructs object motion by approximating object shapes with ellipsoidal structures in 2D image... Read more
Key finding: Utilizing an exact discrete analogue of Green’s theorem, this paper develops a markedly faster and exact algorithm for computing discrete image moments of binary images. The method circumvents approximations inherent in... Read more

3. How can moment selection methods in econometrics be adapted to handle mixed identification strength in moment condition models?

This research area investigates statistical model selection techniques, particularly generalized method of moments (GMM) estimators, under the challenging scenario where moment conditions exhibit varying identification strengths, ranging from strong to weak to semi-weak. It addresses the inconsistency of classical selection criteria that fail to adjust for the parameter convergence rates aligned with identification degrees, proposing novel penalization and entropy-based criteria that incorporate estimation rates and asymptotic distribution properties. These advancements enable consistent and efficient selection of relevant moments, crucial for reliable inference in econometric models with heterogeneous identification patterns.

Key finding: This paper identifies the inconsistency of existing relevant moment selection procedures when dealing with moment condition models exhibiting mixed identification strength, due to their neglect of varying parameter... Read more

All papers in Moment method

We demonstrate analytically and numerically that a subwavelength-core dielectric photonic nanowire embedded in a properly designed photonic crystal fiber cladding shows evidence of a previously unknown kind of nonlinearity (the magnitude... more
The depth-duration-frequency curves and isopluvial maps for the region encompassing South Carolina, North Carolina, and Georgia were developed using the available rainfall data. The aim was to update the existing... more
Stochastic multi objective programming problems commonly arise in complex systems such as portfolio analysis, medium-to long-term capacity planning and design applications under uncertainty. The identification of the candidate solution... more
It has been recently shown that puzzling excess events observed by the LSND and MiniBooNE neutrino experiments could be interpreted as a signal from the radiative decay of a heavy sterile neutrino ($\nu_h$) of the mass from 40 to 80 MeV,... more
It has been recently suggested that the anomalous excess of low-energy electron-like events observed by the MiniBooNE experiment, could be explained by the radiative decay of a heavy sterile neutrino ν h of the mass around 500 MeV with a... more
The anomaly in the low energy distribution of quasi-elastic neutrino events reported by the Mini-BooNE collaboration is discussed. We show that the observed excess of electron-like events could originate from the production and decay of a... more
This paper proposes a quantum algorithm for solving the tautology and the satisfiability problems for a Boolean formula. Let's say we are given a Boolean formula. The variables of the Boolean formula can take only two values-TRUE or... more
Le LNE dispose d'une installation de référence pour la mesure de la diffusivité thermique basée sur la méthode « flash ». Cette caractéristique est déterminée par identification du thermogramme expérimental à un thermogramme théorique... more
International guidelines and standards on whole-body radio-frequency (RF) dosimetry use the whole-body averaged specific absorption rate (WBA-SAR) as a surrogate metric to quantify the temperature rise in the body. This study proposes the... more
The calculation of the nonresonant Raman spectrum of double-walled carbon nanotubes ͑DWCNT's͒ is performed in the framework of the bond polarization theory, using the spectral moment method. The calculation of the Raman spectrum of... more
We report on minimum energy calculations, using a convenient Lennard-Jones expression of the van der Waals intermolecular potential, to derive the optimum configurations of C 60 molecules inside single wall carbon nanotubes. Depending on... more
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This paper investigates the effects of high-frequency radio waves on human exposure in wireless power transfer systems health impacts due to high-frequency radiation exposure, particularly examining induced electric fields, transmitted... more
Analytical investigations of the problem of dielectriccoated thin-wire antenna structures have invariably focused on the physics of developing appropriate models for the dielectric insulation on the thin-wire conductors that serve as... more
Context. Discovered in 1907, the Blazhko effect is a modulation of the light variations of about half of the RR Lyr stars. It has remained unexplained for over 100 years, despite more than a dozen proposed explanations. Today it... more
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