Results 21 to 30 of about 1,621,703 (196)
A Simple Approach to Maximum Intractable Likelihood Estimation [PDF]
, 2013 Approximate Bayesian Computation (ABC) can be viewed as an analytic approximation of an intractable likelihood coupled with an elementary simulation step.
Johansen, Adam M., Rubio, F. J.
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IEEE Access, 2020 The number-theoretical phase unwrapping method has recently been widely applied in fringe projection profilometry. But fringe order errors may occur due to noise or distortion, leading to errors in the unwrapped phase map, and eventually affecting the ...
Duo Zhou +3 more
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A fast Maximum Likelihood method for improving AMCW lidar precision using waveform shape [PDF]
, 2009 Amplitude Modulated Continuous Wave imaging lidar systems use the time-of-flight principle to determine the range to objects in a scene. Typical systems use modulated illumination of a scene and a modulated sensor or image intensifier.
Cree, Michael J. +3 more
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Modeling of Autonomous Underwater Vehicles with Multi-Propellers Based on Maximum Likelihood Method
Journal of Marine Science and Engineering, 2020 The hydrodynamic characteristics of multi-propeller autonomous underwater vehicles (AUV) is usually complicated and it is difficult to obtain an accurate mathematical model. A modeling method based on CFD calculation and maximum likelihood identification
Feiyan Min, Guoliang Pan, Xuefeng Xu
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Fourth order pseudo maximum likelihood methods [PDF]
Journal of Econometrics, 2008 We extend PML theory to account for information on the conditional moments up to order four, but without assuming a parametric model, to avoid a risk of misspecification of the conditional distribution. The key statistical tool is the quartic exponential family, which allows us to generalize the PML2 and QGPML1 methods proposed in Gourieroux, Monfort ...
Alberto Holly +2 more
openaire +10 more sources
On the estimation of normal copula discrete regression models using the continuous extension and simulated likelihood [PDF]
, 2013 The continuous extension of a discrete random variable is amongst the computational methods used for estimation of multivariate normal copula-based models with discrete margins.
Aristidis K. Nikoloulopoulos +36 more
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Comparison of methods to extract an asymmetry parameter from data
, 2011 Several methods to extract an asymmetry parameter in an event distribution function are discussed and compared in terms of statistical precision and applicability.
Pretz, Jörg
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Sensors, 2018 Deconvolution provides an efficient technology to implement angular super-resolution for scanning radar forward-looking imaging. However, deconvolution is an ill-posed problem, of which the solution is not only sensitive to noise, but also would be ...
Ke Tan +5 more
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PHASE NOISE INVESTIGATION OF MAXIMUM LIKELIHOOD ESTIMATION METHOD FOR AIRBORNE MULTIBASELINE SAR INTERFEROMETRY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 The phase estimation of cross-track multibaseline synthetic aperture interferometric data is usually thought to be very efficiently achieved using the maximum likelihood (ML) method.
C. Magnard, D. Small, E. Meier
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Characterising a universal cloning machine by maximum-likelihood estimation [PDF]
, 2000 We apply a general method for the estimation of completely positive maps to the 1-to-2 universal covariant cloning machine. The method is based on the maximum-likelihood principle, and makes use of random input states, along with random projective ...
A. Jamiołkowski +24 more
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