Results 71 to 80 of about 11,261,456 (259)

Sobre la construcción del mejor predictor lineal insesgado (BLUP) y restricciones asociadas

Revista Colombiana de Estadística, 2007
A través del modelo lineal clásico de Gauss-Markov, se caracteriza el modelo de efectos mixtos, se aplica la técnica de multiplicadores de Lagrange para obtener los mejores predictores lineales (BLUP) y se ilustran los resultados de Searle (1997), donde ...
LUIS ALBERTO LÓPEZ, DIANA CAROLINA FRANCO, SANDRA PATRICIA BARRETO   +2 more
doaj  

ABL kinase‐dependent phosphorylation of SH proteins promotes their direct interaction with CRK family SH2 domains

FEBS Letters, EarlyView.
CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens, Brendan W. Chandler, Anna M. Schmoker, Jaye L. Weinert, Charlotte A. Kearns, Warren T. Yacawych, Amila Šemić, Alicia M. Ebert, Bryan A. Ballif   +8 more
wiley   +1 more source

Diagnostics for generalised linear mixed models [PDF]

Generalized linear mixed models are generalized linear models that include random effects varying between clusters or 'higher-level' units of hierarchically structured data. Such models can be estimated using gllamm.
Sophia Rabe-Hesketh, Anders Skrondal
core  

An efficient computing strategy for prediction in mixed linear models [PDF]

, 2004
After estimation of effects from a linear mixed model, it is often useful to form predicted values for certain factor/variate combinations. This process has been well-defined for linear models, but the introduction of random effects means that a decision
Gogel, Beverley, Gogel, B., Thompson, Robin, Welham, Sue, Gilmour, A., Cullis, Brian R., Gilmour, Arthur, Welham, S. J., Thompson, R., Cullis, B. R.   +9 more
core   +1 more source

Identification of functional features underlying heat stress response in Sprague-Dawley rats using mixed linear models. [PDF]

Sci Rep, 2022
Kotlarz K, Mielczarek M, Wang Y, Dou J, Suchocki T, Szyda J.   +5 more
europepmc   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

S-estimation and a robust conditional Akaike information criterion for linear mixed models. [PDF]

We study estimation and model selection on both the fixed and the random effects in the setting of linear mixed models using outlier robust S-estimators.
Tharmaratnam, Kukatharmini, Claeskens, Gerda   +1 more
core  

Robust Classification of Functional and Quantitative Image Data Using Functional Mixed Models [PDF]

, 2012
This paper describes how to perform classification of complex, high-dimensional functional data using the functional mixed model (FMM) framework. The FMM relates a functional response to a set of predictors through functional fixed and random effects ...
Morris, Jeffrey S., Hongxiao Zhu, Zhu, Hongxiao, Philip J. Brown, Jeffrey S. Morris, Brown, Philip J.   +5 more
core   +1 more source

Macro vs. Micro Methods in Non-Life Claims Reserving (an Econometric Perspective)

Risks, 2016
Traditionally, actuaries have used run-off triangles to estimate reserve (“macro” models, on aggregated data). However, it is possible to model payments related to individual claims. If those models provide similar estimations, we investigate uncertainty
Arthur Charpentier, Mathieu Pigeon
doaj   +1 more source

Application of mixed linear models for the estimation of functional effects on bovine stature based on SNP summary statistics from a whole-genome association study. [PDF]

Genet Sel Evol, 2022
Kotlarz K, Kosinska-Selbi B, Cai Z, Sahana G, Szyda J.   +4 more
europepmc   +1 more source