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ON TWO-STEP ESTIMATION OF A SPATIAL AUTOREGRESSIVE MODEL WITH AUTOREGRESSIVE DISTURBANCES AND ENDOGENOUS REGRESSORS
Cliff–Ord spatial model Generalized method of moments estimation Limited information estimation
2015/9/24
In this paper, we consider a spatial-autoregressive model with autoregressive disturbances,
where we allow for endogenous regressors in addition to a spatial lag of the dependent variable.
We sugges...
Estimation of seismic moments from local magnitudes and coda durations for the Cairo earthquake aftershocks recorded at Kottamyia (KEG) Broadband station
aftershocks seismic moment scaling
2015/9/17
The spectral analysis of fifty-five KEG VBB records from the October 12, 1992 Cairo earthquake source region
was performed to obtain the seismic moment. We obtained this parameter in turn to develop ...
A review and new insights on the estimation of the b-valueand its uncertainty
b-value seismology statistical methods synthetic-earthquake catalogs
2015/9/17
The estimation of the b-value of the Gutenberg-Richter Law and its uncertainty is crucial in seismic hazard studies,
as well as in verifying theoretical assertions, such as, for example, the universa...
Australian paleoseismology: towards a better basis for seismic hazard estimation
intraplate seismicity seismic hazard Australia paleoseismology
2015/9/16
Probabilistic seismic hazard analyses in Australia rely fundamentally on the assumption that earthquakes recorded in the past are indicative of where earthquakes will occur in the future. No attempt h...
Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling
Hidden Population Sampling
2015/9/11
Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling。
Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers
generalised Gaussian probability density function heavy-tailed distributions hyperspectral imagery linear regression noise modelling Visible InfraRed Scanner (VIRS-200)
2015/9/7
The definition of noise models suitable for hyperspectral data is slightly different depending on whether whiskbroom or push-broom are dealt with. Focussing on the latter type (e.g., VIRS-200) the noi...
A technical note on the bias in the estimation of the b-value and its uncertainty through the Least Squares technique
b-value Seismology Least Squares technique Synthetic-earthquake catalogs
2015/9/2
We investigate conceptually,
analytically, and numerically the biases in the estimation of the
b-value of the Gutenberg-Richter law and of
its uncertainty made through the least
squares technique...
On estimation of the displacement in an earthquake source and of source dimensions
Earthquake mechanism fault plane seismology
2015/8/28
The study of an earthquake's mechanism is usually finished by the determination of a fault plane and the direction of displacement along it. In many aspects of geodynamics and seismology it would be v...
Global nonlinear optimization for the estimation of static shift and interpretation of 1-D magnetotelluric sounding data
Magnetotelluric sounding global nonlinear optimization static shift TE and TM mode apparent resistivity phase
2015/8/27
In the presence of conducting inhomogeneities in near-surface structures, apparent resistivity data in magnetotelluric sounding can be severely distorted. This is due to electric fields generated from...
Periodic Orbits of Hybrid Systems and Parameter Estimation via AD
Hybrid Systems Parameter Estimation via AD
2015/8/25
Rhythmic, periodic processes are ubiquitous in biological systems; for example,
the heart beat, walking, circadian rhythms and the menstrual cycle. Modeling
these processes with high delity as peri...
Parameter estimation for bursting neural models
bursting neural models Parameter estimation
2015/8/25
This paper presents work on parameter estimation
methods for bursting neural models. In our
approach we use both geometrical features specific to
bursting, as well as general features such as perio...
Asymptotic Equivalence of Spectral Density Estimation and Gaussian White Noise
Stationary Gaussian process spectral density Sobolev classes Le Cam distance asymptotic equivalence Whittle likelihood log-periodogram regression nonparametric Gaussian scale model signal in Gaussian white noise
2015/8/25
We consider the statistical experiment given by a sample y(1), . . . , y(n) of a stationary Gaussian process with an unknown smooth spectral density f. Asymptotic equivalence, in the sense of Le Cam’s...
ASYMPTOTIC EQUIVALENCE OF SPECTRAL DENSITY ESTIMATION AND GAUSSIAN WHITE NOISE
ASYMPTOTIC EQUIVALENCE SPECTRAL DENSITY ESTIMATION GAUSSIAN WHITE NOISE
2015/8/25
We consider the statistical experiment given by a sample y(1), . . . , y(n) of a stationary Gaussian process with an unknown smooth spectral density f . Asymptotic equivalence, in the sense of Le Cam’...
Maximum likelihood estimation of a nonparametric signal in white noise by optimal control
Nonparametric signal in white noise Maximum likelihood Smoothness classes Extremal problems Optimal control Iterative solution
2015/8/25
We study extremal problems related to nonparametric maximum likelihood estimation (MLE) of a signal in white noise.The aim is to reduce these to standard problems of optimal control which can be solve...
The Asymptotic Minimax Constant for Sup-Norm Loss in Nonparametric Density Estimation
Density estimation exact constant optimal recovery uniform norm risk white noise
2015/8/25
We develop the exact constant of the risk asymptotics in the uniform norm for density estimation. This constant has first been found for nonparametric regression and for signal estimation in Gaussian ...