Results 91 to 100 of about 1,959,808 (288)

A New Family of Extended Lindley Models: Properties, Estimation and Applications

open access: yesMathematics, 2020
There are many proposed life models in the literature, based on Lindley distribution. In this paper, a unified approach is used to derive a general form for these life models.
Abdulrahman Abouammoh, Mohamed Kayid
doaj   +1 more source

Portfolio optimization with mixture vector autoregressive models

open access: yes, 2020
Obtaining reliable estimates of conditional covariance matrices is an important task of heteroskedastic multivariate time series. In portfolio optimization and financial risk management, it is crucial to provide measures of uncertainty and risk as ...
Boshnakov, Georgi N., Ravagli, Davide
core  

Identifiability of Large Phylogenetic Mixture Models [PDF]

open access: yes, 2010
Phylogenetic mixture models are statistical models of character evolution allowing for heterogeneity. Each of the classes in some unknown partition of the characters may evolve by different processes, or even along different trees.
Rhodes, John A., Sullivant, Seth
core  

Cell wall target fragment discovery using a low‐cost, minimal fragment library

open access: yesFEBS Letters, EarlyView.
LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan   +5 more
wiley   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

open access: yesFEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee   +3 more
wiley   +1 more source

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

open access: yesFEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

Extensions of D-optimal Minimal Designs for Symmetric Mixture Models. [PDF]

open access: yes, 2017
The purpose of mixture experiments is to explore the optimum blends of mixture components, which will provide desirable response characteristics in finished products.
Chervoneva, Inna   +2 more
core   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

open access: yesFEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai   +9 more
wiley   +1 more source

label.switching: An R Package for Dealing with the Label Switching Problem in MCMC Outputs

open access: yesJournal of Statistical Software, 2016
Label switching is a well-known and fundamental problem in Bayesian estimation of mixture or hidden Markov models. In case that the prior distribution of the model parameters is the same for all states, then both the likelihood and posterior distribution
Panagiotis Papastamoulis
doaj   +1 more source

Relabelling Algorithms for Large Dataset Mixture Models [PDF]

open access: yes, 2014
Mixture models are flexible tools in density estimation and classification problems. Bayesian estimation of such models typically relies on sampling from the posterior distribution using Markov chain Monte Carlo.
Fan, Yanan, Zhu, Wanchuang
core  

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