Results 91 to 100 of about 3,138,878 (297)

Maximum likelihood parameter estimation for latent variable models using sequential Monte Carlo [PDF]

open access: yes
We present a sequential Monte Carlo (SMC) method for maximum likelihood (ML) parameter estimation in latent variable models. Standard methods rely on gradient algorithms such as the Expectation- Maximization (EM) algorithm and its Monte Carlo variants.
Davy, Manuel   +2 more
core   +1 more source

Statistical analysis of maximum likelihood estimator images of human brain FDG PET studies [PDF]

open access: yes, 1993
The work presented evaluates the statistical characteristics of regional bias and expected error in reconstructions of real positron emission tomography (PET) data of human brain fluoro-deoxiglucose (FDG) studies carried out by the maximum likelihood ...
Coakley, Kevin J.   +4 more
core   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

open access: yesFEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell   +2 more
wiley   +1 more source

Analytical quasi maximum likelihood inference in multivariate volatility models [PDF]

open access: yes
Quasi maximum likelihood estimation and inference in multivariate volatility models remains a challenging computational task if, for example, the dimension is high.
Hafner, C.M., Herwartz, H.
core  

Structures of mycobacterial 3‐methylcrotonyl‐CoA carboxylase reveal carrier‐domain translocation between catalytic sites

open access: yesFEBS Letters, EarlyView.
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav   +2 more
wiley   +1 more source

Maximum Likelihood Estimation for the Weibull-Burr Distribution

open access: yesProceedings of the International Conference on Applied Innovations in IT
This study introduces a new family of distributions known as the five-parameters Weibull- Burr distribution. This study aims to present a new family of Weibull-Burr distributions by utilizing the maximum likelihood estimation (MLE) method to determine ...
Alaa Mohammad, Abbas Kneehr
doaj   +1 more source

Maximum Likelihood Estimation of the Multivariate Normal Mixture Model [PDF]

open access: yes
The Hessian of the multivariate normal mixture model is derived, and estimators of the information matrix are obtained, thus enabling consistent estimation of all parameters and their precisions.
Magnus, Jan R., Boldea, Otilia
core  

L‐aspartate oxidase provides new insights into fumarate reduction in anaerobic darkness in Synechocystis sp. PCC6803

open access: yesFEBS Letters, EarlyView.
Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil   +3 more
wiley   +1 more source

Copula Approximate Bayesian Computation Using Distribution Random Forests

open access: yesStats
Ongoing modern computational advancements continue to make it easier to collect increasingly large and complex datasets, which can often only be realistically analyzed using models defined by intractable likelihood functions.
George Karabatsos
doaj   +1 more source

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