Results 31 to 40 of about 1,248,247 (319)
High-Order Maximum Likelihood Methods for Direction of Arrival Estimation
IEEE Open Journal of Signal Processing, 2021 It is shown that using high-order statistics (higher than two) is beneficial in subspace-based Direction Of Arrival (DOA) estimation methods. Particularly, the high-order MUltiple SIgnal Classification (MUSIC) method, also known as $ 2q$-MUSIC method ...
Mohammadhossein Barat +2 more
doaj +1 more source
Optimization of Aeolus' aerosol optical properties by maximum-likelihood estimation [PDF]
Atmospheric Measurement Techniques, 2022 The European Space Agency (ESA) Earth Explorer Mission Aeolus was launched in August 2018, carrying the first Doppler wind lidar in space. Its primary payload, the Atmospheric LAser Doppler INstrument (ALADIN), is an ultraviolet (UV) high-spectral ...
F. Ehlers +6 more
doaj +1 more source
Maximum likelihood estimation of local stellar kinematics [PDF]
, 2012 Context. Kinematical data such as the mean velocities and velocity dispersions of stellar samples are useful tools to study galactic structure and evolution.
Aghajani, Toktam, Lindegren, Lennart
core +1 more source
Maximum likelihood estimation in Gaussian models under total positivity [PDF]
Annals of Statistics, 2017 We analyze the problem of maximum likelihood estimation for Gaussian distributions that are multivariate totally positive of order two (MTP2). By exploiting connections to phylogenetics and single-linkage clustering, we give a simple proof that the ...
S. Lauritzen +2 more
semanticscholar +1 more source
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.
core +2 more sources
Estimation of servo-system parameters using maximum likelihood method
Vojnotehnički Glasnik, 1998 The problem of estimation of servo system parameters that cannot be measured is solved. Unknown parameters are estimated using system response measurements. A special discrete, recursive and iterative form of maximum likelihood method is presented.
Nenad Dodić
doaj +1 more source
Hedged maximum likelihood estimation
, 2010 This paper proposes and analyzes a new method for quantum state estimation, called hedged maximum likelihood (HMLE). HMLE is a quantum version of Lidstone's Law, also known as the "add beta" rule.
Blume-Kohout, Robin
core +1 more source
Maximum likelihood estimation for multiscale Ornstein-Uhlenbeck processes [PDF]
, 2018 We study the problem of estimating the parameters of an Ornstein-Uhlenbeck (OU) process that is the coarse-grained limit of a multiscale system of OU processes, given data from the multiscale system.
Papavasiliou, Anastasia, Zhang, Fan
core +1 more source
Jackknifing Maximum Likelihood Estimates
The Annals of Statistics, 1978 This paper proves the apparently outstanding conjecture that the maximum likelihood estimate (m.l.e.) "behaves properly" when jackknifed. In particular, under the usual Cramer conditions (1) the jackknifed version of the consistent root of the m.l.
openaire +3 more sources
Maximum Likelihood Estimation for Linear Gaussian Covariance Models [PDF]
, 2016 We study parameter estimation in linear Gaussian covariance models, which are $p$-dimensional Gaussian models with linear constraints on the covariance matrix.
Richards, Donald +2 more
core +1 more source