Results 31 to 40 of about 54,912 (316)

Maximum likelihood estimation of Wiener models [PDF]

open access: yesProceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
A Wiener model consists of a linear dynamic system followed by a static nonlinearity. The input and output are measured, but not the intermediate signal. We discuss the maximum likelihood estimate for Gaussian measurement and process noise, and the special cases when one of the noise sources is zero.
Hagenblad, Anna, Ljung, Lennart
openaire   +2 more sources

Consistency and Asymptotic Normality of the Maximum Likelihood Estimator in GaGLM

open access: yesIEEE Access, 2022
The Gamma distribution based generalized linear model ( $Ga$ GLM) is a kind of statistical model feasible for the positive value of a non-stationary stochastic system, in which the location and the scale are regressed by the corresponding explanatory ...
Benchao Wang, Pan Qin, Hong Gu
doaj   +1 more source

Efficiency of Kimball's Linearized Maximum Likelihood Estimators for the Two Parameter Weibull and Extreme Value Distributions [PDF]

open access: yesThe Egyptian Statistical Journal, 1985
Asymptotic efficiencies, of Kimball's linearized maximum likelihood estimator β ̂ for the scale parameter of the Type I extreme value distribution are evaluated for Type II censored samples.
M. Habib, A. Bargal
doaj   +1 more source

Implicit Maximum Likelihood Estimation

open access: yesCoRR, 2018
Implicit probabilistic models are models defined naturally in terms of a sampling procedure and often induces a likelihood function that cannot be expressed explicitly. We develop a simple method for estimating parameters in implicit models that does not require knowledge of the form of the likelihood function or any derived quantities, but can be ...
Ke Li 0011, Jitendra Malik
openaire   +2 more sources

Maximum Lq-likelihood estimation

open access: yesThe Annals of Statistics, 2010
In this paper, the maximum L$q$-likelihood estimator (ML$q$E), a new parameter estimator based on nonextensive entropy [Kibernetika 3 (1967) 30--35] is introduced. The properties of the ML$q$E are studied via asymptotic analysis and computer simulations.
Ferrari, Davide, Yang, Yuhong
openaire   +4 more sources

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman   +7 more
wiley   +1 more source

Multinomial logit bias reduction via Poisson log-linear model [PDF]

open access: yes, 2010
It is shown how to obtain the bias-reducing penalized maximum likelihood estimator for the parameters of a multinomial logistic regression by using the equivalent Poisson log-linear model.
Firth, David   +5 more
core   +1 more source

A novel efficient estimator for three‐dimensional bearings‐only source localisation with unknown sensor altitude and systematic measurement errors

open access: yesIET Radar, Sonar & Navigation
A novel two‐stage profile maximum likelihood estimator is proposed to estimate the source location and the systematic errors jointly, with the aim of addressing the problem of source localisation using angle‐only measurements from a single sensor with ...
Heng‐Yu Hu   +2 more
doaj   +1 more source

The Comparison Between the Bayes Estimator and the Maximum Likelihood Estimator of the Reliability Function for Negative Exponential Distribution

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2018
     In this paper, the maximum likelihood estimator and the Bayes estimator of the reliability function for negative exponential distribution has been derived, then a Monte –Carlo simulation technique was employed to compare the performance of such ...
Hazim Mansour Gorgees   +2 more
doaj   +1 more source

Estimating Maximum Likelihood Phylogenies with PhyML [PDF]

open access: yes, 2009
Our understanding of the origins, the functions and/or the structures of biological sequences strongly depends on our ability to decipher the mechanisms of molecular evolution. These complex processes can be described through the comparison of homologous sequences in a phylogenetic framework.
Guindon, Stéphane   +3 more
openaire   +3 more sources

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