Results 101 to 110 of about 2,001,852 (330)

Robust MM-Estimation and Inference in Mixed Linear Models [PDF]

Mixed linear models are used to analyse data in many settings. These models generally rely on the normality assumption and are often fitted by means of the maximum likelihood estimator (MLE) or the restricted maximum likelihood estimator (REML). However,
Samuel Copt, Stephane Heritier
core  

A methionine‐lined active site governs carbocation stabilization and product specificity in a bacterial terpene synthase

FEBS Letters, EarlyView.
This study reveals a unique active site enriched in methionine residues and demonstrates that these residues play a critical role by stabilizing carbocation intermediates through novel sulfur–cation interactions. Structure‐guided mutagenesis further revealed variants with significantly altered product profiles, enhancing pseudopterosin formation. These
Marion Ringel, Carl P. O. Helmer, Shani Zev, Ronja Driller, Emily Buhr, Markus Reinbold, Renana Schwartz, Gabriel Foley, Mikael Boden, Daniel Garbe, Gerhard Schenk, Dan Thomas Major, Bernhard Loll, Thomas Brück   +13 more
wiley   +1 more source

Robust linear functional mixed models

Journal of Multivariate Analysis, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marco Riquelme, Heleno Bolfarine, Manuel Galea   +2 more
openaire   +2 more sources

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

FEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura, Shin‐ichi Tate, Kyota Yasuda   +2 more
wiley   +1 more source

Precise asymptotics for linear mixed models with crossed random effects

Statistical Theory and Related Fields
We obtain an asymptotic normality result that reveals the precise asymptotic behaviour of the maximum likelihood estimators of parameters for a very general class of linear mixed models containing cross random effects.
Jiming Jiang, Matt P. Wand, Swarnadip Ghosh   +2 more
doaj   +1 more source

Linear Quantile Mixed Models: The lqmm Package for Laplace Quantile Regression

Journal of Statistical Software, 2014
Inference in quantile analysis has received considerable attention in the recent years. Linear quantile mixed models (Geraci and Bottai 2014) represent a ?exible statistical tool to analyze data from sampling designs such as multilevel, spatial, panel or
Marco Geraci
doaj   +1 more source

Correct specification of design matrices in linear mixed effects models: tests with graphical representation [PDF]

, 2022
Jakob Peterlin, Nataša Kejžar, Rok Blagus   +2 more
openalex   +1 more source

Small area estimation for spatially correlated populations - a comparison of direct and indirect model-based methods [PDF]

, 2007
Linear mixed models underpin many small area estimation (SAE) methods. In this paper we investigate SAE based on linear models with spatially correlated small area effects where the neighbourhood structure is described by a contiguity matrix. Such models
Chambers, Ray, Chandra, Hukum, Salvati, Nicola   +2 more
core   +1 more source

Covariate Screening in Mixed Linear Models

Journal of Multivariate Analysis, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Welsh, Alan, Richardson, Alice
openaire   +3 more sources

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source