Results 101 to 110 of about 178,886 (297)

Zero-inflated generalized Poisson models with regression effects on the mean, dispersion and zero-inflation level applied to patent outsourcing rates [PDF]

, 2006
This paper focuses on an extension of zero-inflated generalized Poisson (ZIGP) regression models for count data. We discuss generalized Poisson (GP) models where dispersion is modelled by an additional model parameter.
Erhardt, Vinzenz, Min, Aleksey, Czado, Claudia   +2 more
core   +1 more source

Computing log-likelihood and its derivatives for restricted maximum likelihood methods

, 2016
11
openaire   +2 more sources

Proteasomal degradation of intracellularly expressed Amblyomin‐X limits suicide gene therapy potential in melanoma cells

FEBS Open Bio, EarlyView.
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel, Carlos DeOcesano Pereira, Aline Ramos Maia Lobba, Melissa Regina Fessel, Ana Marisa Chudzinski‐Tavassi   +4 more
wiley   +1 more source

Results from Meta-Regression Analysis Using the Restricted Maximum Likelihood Method

, 2013
Results from Meta-Regression Analysis Using the Restricted Maximum Likelihood ...
Daphne I. Ling (84678), Laura L. Flores (84679), Madhukar Pai (55924), Lee W. Riley (7051)   +3 more
core   +1 more source

Consistency of Restricted Maximum Likelihood Estimators in High-Dimensional Kernel Linear Mixed-Effects Models with Applications in Estimating Genetic Heritability

Mathematics
Restricted maximum likelihood (REML) estimators are commonly used to obtain unbiased estimators for the variance components in linear mixed models. In modern applications, particularly in genomic studies, the dimension of the design matrix with respect ...
Xiaoxi Shen, Qing Lu
doaj   +1 more source

Does the Acknowledgement of αS1-Casein Genotype Affect the Estimation of Genetic Parameters and Prediction of Breeding Values for Milk Yield and Composition Quality-Related Traits in Murciano-Granadina?

Animals, 2019
A total of 2090 lactation records for 710 Murciano-Granadina goats were collected during the years 2005−2016 and analyzed to investigate the influence of the αS1-CN genotype on milk yield and components (protein, fat, and dry matter).
María Gabriela Pizarro Inostroza, Vincenzo Landi, Francisco Javier Navas González, Jose Manuel León Jurado, Amparo Martínez Martínez, Javier Fernández Álvarez, Juan Vicente Delgado Bermejo   +6 more
doaj   +1 more source

Maximum Likelihood Estimation of the I(2) Model under Linear Restrictions [PDF]

Econometrics, 2017
Estimation of the I(2) cointegrated vector autoregressive (CVAR) model is considered. Without further restrictions, estimation of the I(1) model is by reduced-rank regression (Anderson (1951)). Maximum likelihood estimation of I(2) models, on the other hand, always requires iteration.
openaire   +4 more sources

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

Nonparametric estimation of concave production technologies by entropic methods [PDF]

An econometric methodology is developed for nonparametric estimation of concave production technologies. The methodology, bases on the priciple of maximum likelihood, uses entropic distance and concvex programming techniques to estimate production ...
Alex Shapiro, Michael Beenstock, Ury Passy, Gad Allon, Steven Hackman   +4 more
core  

Biases of the restricted maximum likelihood estimators for ARMA processes with polynomial time trend

, 2017
In order to estimate autoregressive moving average models with a general polynomial time trend, the restricted or residual likelihood is considered. The autoregressive moving average parameter estimator maximizing the restricted likelihood has shown to ...
신동완
core   +1 more source