Results 21 to 30 of about 858,976 (241)

Maximum likelihood estimation of the equity premium [PDF]

open access: yesJournal of Financial Economics, 2016
Abstract The equity premium — the expected return on the aggregate stock market less the government bill rate – is of central importance to the portfolio allocation of individuals, to the investment decisions of firms, and to model calibration and testing. This quantity is usually estimated from the sample average excess return.
Efstathios Avdis   +2 more
openaire   +4 more sources

Observed Range Maximum Likelihood Estimation [PDF]

open access: yes, 2011
The idea of maximizing the likelihood of the observed range for a set of jointly realized counts has been employed in a variety of contexts. The applicability of the MLE introduced in [1] has been extended to the general case of a multivariate sample ...
Markov, Plamen
core  

Maximum-likelihood estimation prevents unphysical Mueller matrices

open access: yes, 2005
We show that the method of maximum-likelihood estimation, recently introduced in the context of quantum process tomography, can be applied to the determination of Mueller matrices characterizing the polarization properties of classical optical systems ...
A. Aiello   +16 more
core   +1 more source

Refining the NaV1.7 pharmacophore of a class of venom‐derived peptide inhibitors via a combination of in silico screening and rational engineering

open access: yesFEBS Letters, EarlyView.
Venom peptides have shown promise in treating pain. Our study uses computer screening to identify a peptide that targets a sodium channel (NaV1.7) linked to chronic pain. We produced the peptide in the laboratory and refined its design, advancing the search for innovative pain therapies.
Gagan Sharma   +8 more
wiley   +1 more source

Maximum likelihood estimation in log-linear models

open access: yes, 2012
We study maximum likelihood estimation in log-linear models under conditional Poisson sampling schemes. We derive necessary and sufficient conditions for existence of the maximum likelihood estimator (MLE) of the model parameters and investigate ...
Fienberg, Stephen E.   +1 more
core   +3 more sources

Maximum Likelihood Estimation for Linear Gaussian Covariance Models [PDF]

open access: yes, 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

Social context prevents heat hormetic effects against mutagens during fish development

open access: yesFEBS Letters, EarlyView.
This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere   +5 more
wiley   +1 more source

Ion channel function of polycystin‐2/polycystin‐1 heteromer revealed by structure‐guided mutagenesis

open access: yesFEBS Letters, EarlyView.
Mutations in polycystin‐1 (PC1) or polycystin‐2 (PC2) cause autosomal‐dominant polycystic kidney disease (ADPKD). We generated a novel gain‐of‐function PC2/PC1 heteromeric ion channel by mutating pore‐blocking residues. Moreover, we demonstrated that PC2 will preferentially assemble with PC1 to form heteromeric complexes when PC1 is co‐expressed ...
Tobias Staudner   +7 more
wiley   +1 more source

Optimality of the maximum likelihood estimator in astrometry [PDF]

open access: yesAstronomy & Astrophysics, 2018
Context.Astrometry relies on the precise measurement of the positions and motions of celestial objects. Driven by the ever-increasing accuracy of astrometric measurements, it is important to critically assess the maximum precision that could be achieved with these observations.Aims.The problem of astrometry is revisited from the perspective of ...
Espinosa, Sebastian   +4 more
openaire   +4 more sources

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

open access: yesMolecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever   +1 more
wiley   +1 more source

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