Results 51 to 60 of about 1,934,057 (295)

Constrained correlation functions from the Millennium Simulation

open access: yes, 2015
Context. In previous work, we developed a quasi-Gaussian approximation for the likelihood of correlation functions, which, in contrast to the usual Gaussian approach, incorporates fundamental mathematical constraints on correlation functions.
Röseler, Randolf   +2 more
core   +1 more source

Bayesian Method of Moments (BMOM) Analysis of Mean and Regression Models [PDF]

open access: yes, 1995
A Bayesian method of moments/instrumental variable (BMOM/IV) approach is developed and applied in the analysis of the important mean and multiple regression models.
Zellner, Arnold
core   +1 more source

Local Likelihood Estimation for Covariance Functions with Spatially-Varying Parameters: The convoSPAT Package for R

open access: yesJournal of Statistical Software, 2017
In spite of the interest in and appeal of convolution-based approaches for nonstationary spatial modeling, off-the-shelf software for model fitting does not as of yet exist.
Mark D. Risser, Catherine A. Calder
doaj   +1 more source

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

open access: yesFEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source

Path Integral Marginalization for Cosmology: Scale Dependent Galaxy Bias & Intrinsic Alignments

open access: yes, 2010
We present a path-integral likelihood formalism that extends parameterized likelihood analyses to include continuous functions. The method finds the maximum likelihood point in function-space, and marginalizes over all possible functions, under the ...
A. N. Taylor   +36 more
core   +1 more source

Minimax Estimation of the Mean Matrix of the Matrix Variate Normal Distribution under the Divergence Loss Function

open access: yesStatistica, 2018
The problem of estimating the mean matrix of a matrix-variate normal distribution with a covariance matrix is considered under two loss functions. We construct a class of empirical Bayes estimators which are better than the maximum likelihood estimator ...
Shokofeh Zinodiny   +2 more
doaj   +1 more source

Taurine promotes glucagon‐like peptide‐1 secretion in enteroendocrine L cells

open access: yesFEBS Letters, EarlyView.
Taurine, a sulfur‐containing amino acid, is likely taken up by enteroendocrine L cells via the taurine transporter. This process increases the levels of cytosolic ATP. The increase in intracellular Ca2+ concentrations and glucagon‐like peptide‐1 secretion through membrane depolarization is caused by the closure of ATP‐sensitive potassium channels ...
Yuri Osuga   +6 more
wiley   +1 more source

Making tau amyloid models in vitro: a crucial and underestimated challenge

open access: yesFEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

Maximum Smoothed Likelihood Component Density Estimation in Mixture Models with Known Mixing Proportions [PDF]

open access: yes, 2014
In this paper, we propose a maximum smoothed likelihood method to estimate the component density functions of mixture models, in which the mixing proportions are known and may differ among observations.
Li, Pengfei, Qin, Jing, Yu, Tao
core  

The estimation of the uncertainty associated with rating curves of the river Ivinhema in the state of Paraná/Brazil

open access: yesE3S Web of Conferences, 2018
The estimation of the uncertainty associated with stage-discharge relations is a challenge to the hydrologists. Bayesian inference with likelihood estimator is a promissory approach.
Maldonado Luiz Henrique   +2 more
doaj   +1 more source

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