Sentence examples for maximum likelihood type from inspiring English sources
Reference [20] defined maximum likelihood type robust estimates of regression and investigated the asymptotic properties.
One of the most important ideas on this direction is Huber's M-estimator (maximum likelihood type estimator).
Moreover, a variable bandwidth instead of a constant bandwidth is considered in the local maximum likelihood type estimators.
In this paper a novel and effective maximum likelihood type method for the estimation of physically meaningful continuous-time stochastic systems from analog data records is introduced.
The new estimators are based on the local linear regression technique and the maximum likelihood type estimation technique, and they have a good control of outliers.
The consistency and asymptotic normality of the local maximum likelihood type estimators for drift and diffusion functions are developed under some given conditions.
Maximum likelihood (ML) type estimators (or more generally, -estimators) developed in the theory of robust statistics are of great importance in robust signal processing techniques [5].
Maximum likelihood (ML) type estimators, also known as M-estimators, developed in the theory of robust statistics are of great importance in robust signal processing techniques [14, 16].
IS: insertion sequence; HGT: horizontal gene transfer; LLAP: Legionella-like amoebal pathogen 12; NR: non-redundant; ORF: Open Reading Frame; PAH: Parachlamydia acanthamoebae strain Hall's coccus; PhyML: PHYlogenetic inferences using Maximum Likelihood; T4SS: Type IV secretion system.
For example, Kumazawa and Ogata (2014) represented the background rate as piece-wise linear function and performed estimation using an iterative procedure involving penalized maximum likelihood and Type-II maximum likelihood method.
The parameter θ is a maximum likelihood estimator of type 1 functional divergence between two members of a protein family and is based on the detection of altered rates of amino acid replacements for a given position between the two paralog groups.
