Results 31 to 40 of about 1,282,217 (275)
Multivariate Covariance Generalized Linear Models
, 2015 We propose a general framework for non-normal multivariate data analysis called multivariate covariance generalized linear models (McGLMs), designed to handle multivariate response variables, along with a wide range of temporal and spatial correlation ...
Bonat, Wagner Hugo, Jørgensen, Bent
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Generalized Linear Spatial Models to Predict Slate Exploitability
Journal of Applied Mathematics, 2013 The aim of this research was to determine the variables that characterize slate exploitability and to model spatial distribution. A generalized linear spatial model (GLSMs) was fitted in order to explore relationship between exploitability and different ...
Angeles Saavedra +3 more
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Comparison of predictor approaches for longitudinal binary outcomes: application to anesthesiology data [PDF]
PeerJ, 2014 Longitudinal data with binary repeated responses are now widespread among clinical studies and standard statistical analysis methods have become inadequate in the answering of clinical hypotheses.
Anil Aktas Samur +2 more
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Efficient estimation of generalized linear latent variable models.
PLoS ONE, 2019 Generalized linear latent variable models (GLLVM) are popular tools for modeling multivariate, correlated responses. Such data are often encountered, for instance, in ecological studies, where presence-absences, counts, or biomass of interacting species ...
Jenni Niku +5 more
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Bayesian inference for generalized linear models for spiking neurons
Frontiers in Computational Neuroscience, 2010 Generalized Linear Models (GLMs) are commonly used statistical methods for modelling the relationship between neural population activity and presented stimuli.
Sebastian Gerwinn +6 more
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Partially Linear Generalized Single Index Models for Functional Data (PLGSIMF)
Stats, 2021 Single-index models are potentially important tools for multivariate non-parametric regression analysis. They generalize linear regression models by replacing the linear combination α0⊤X with a non-parametric component η0α0⊤X, where η0(·) is an unknown ...
Mohamed Alahiane +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges +12 more
wiley +1 more source
Model averaging for generalized linear models in fragmentary data prediction
Statistical Theory and Related Fields, 2022 Fragmentary data is becoming more and more popular in many areas which brings big challenges to researchers and data analysts. Most existing methods dealing with fragmentary data consider a continuous response while in many applications the response ...
Chaoxia Yuan, Yang Wu, Fang Fang
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Kullback-Leibler aggregation and misspecified generalized linear models
, 2012 In a regression setup with deterministic design, we study the pure aggregation problem and introduce a natural extension from the Gaussian distribution to distributions in the exponential family.
Rigollet, Philippe
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Consistency and asymptotic normality of the maximum likelihood estimator in a zero-inflated generalized Poisson regression [PDF]
, 2005 Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur.
Czado, Claudia, Min, Aleksey
core +2 more sources