Results 101 to 110 of about 1,934,057 (295)

Maximum likelihood estimation for matrix normal models via quiver representations [PDF]

arXiv, 2020
In this paper, we study the log-likelihood function and Maximum Likelihood Estimate (MLE) for the matrix normal model for both real and complex models. We describe the exact number of samples needed to achieve (almost surely) three conditions, namely a bounded log-likelihood function, existence of MLEs, and uniqueness of MLEs.
arxiv  

A stepwise emergence of evolution in the RNA world

FEBS Letters, EarlyView.
How did biological evolution emerge from chemical reactions? This perspective proposes a gradual scenario of self‐organization among RNA molecules, where catalytic feedback on random mixtures plays the central role. Short oligomers cross‐ligate, and self‐assembly enables heritable variations. An event of template‐externalization marks the transition to
Philippe Nghe
wiley   +1 more source

Influence functions of trimmed likelihood estimators for lifetime experiments [PDF]

, 2015
We provide a general approach for deriving the influence function for trimmed likelihood estimators using the implicit function theorem. The approach is applied to lifetime models with exponential or lognormal distributions possessing a linear or ...
Celik, N., Clarke, B.R., Müller, C.H., Szugat, S.   +3 more
core  

Modifications in FLAP's second cytosolic loop influence 5‐LOX interaction, inhibitor binding, and leukotriene formation

FEBS Letters, EarlyView.
The enzyme 5‐lipoxygenase (5‐LOX) catalyzes the first step in the biosynthesis of leukotrienes (LTs) involved in inflammatory pathophysiology. After cellular stimulation, 5‐LOX translocates to the nucleus, interacting with the 5‐LOX‐activating protein (FLAP) to form LTA4 from arachidonic acid (AA).
Erik Romp, Katharina Rataj, Stefanie König, Marcia E. Newcomer, Oliver Werz, Ulrike Garscha   +5 more
wiley   +1 more source

A composite likelihood ratio approach to the analysis of correlated binary data in genetic association studies [PDF]

arXiv, 2016
The likelihood function represents statistical evidence in the context of data and a probability model. Considerable theory has demonstrated that evidence strength for different parameter values can be interpreted from the ratio of likelihoods at different points on the likelihood curve.
arxiv  

Brucella NyxA and NyxB dimerization enhances effector function during infection

FEBS Letters, EarlyView.
Brucella abortus thrives inside cells thanks to the translocation of effector proteins that fine‐tune cellular functions. NyxA and NyxB are two effectors that destabilize the nucleolar localization of their host target, SENP3. We show that the Nyx proteins directly interact with each other and that their dimerization is essential for their function ...
Lison Cancade‐Veyre, Arthur Louche, Francine C. A. Gérard, Laurent Terradot, Suzana P. Salcedo   +4 more
wiley   +1 more source

Parameter Estimation in Semi-Linear Models Using a Maximal Invariant Likelihood Function [PDF]

In this paper, we consider the problem of estimation of semi-linear regression models. Using invariance arguments, Bhowmik and King (2001) have derived the probability density functions of the maximal invariant statistic for the nonlinear component of ...
Jahar L. Bhowmik, Maxwell L. King
core  

On the method of likelihood-induced priors [PDF]

arXiv, 2019
We demonstrate that the functional form of the likelihood contains a sufficient amount of information for constructing a prior for the unknown parameters. We develop a four-step algorithm by invoking the information entropy as the measure of uncertainty and show how the information gained from coarse-graining and resolving power of the likelihood can ...
arxiv  

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

FEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro, Marco Cellani, Cristina Scielzo   +2 more
wiley   +1 more source

melt: Multiple Empirical Likelihood Tests in R

Journal of Statistical Software
Empirical likelihood enables a nonparametric, likelihood-driven style of inference without relying on assumptions frequently made in parametric models.
Eunseop Kim, Steven N. MacEachern, Mario Peruggia   +2 more
doaj   +1 more source