Results 31 to 40 of about 14,099,422 (313)
Stochastic ModelsWe introduce a stochastic geometry dynamics inspired by opinion dynamics that captures the essence of modern asymmetric social networks with leaders and followers. Points in the Euclidean space represent opinions, and the leader of an agent is the one with the closest opinion.
Dragovic, Natasa, Baccelli, Francois
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Models for Rates with Poisson Errors
Biometrics, 1984 In a recent paper, Frome (1983) described the fitting of models with Poisson errors and data in the form of rates. Some of the models considered are log-linear and hence can be fitted simply by GLIM or by any package that handles log-linear models; some are not and require either special treatment in GLIM or the use of a program that handles iterative ...
J. A. Nelder, E. L. Frome
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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 +2 more
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D-optimal designs for Poisson regression models [PDF]
, 2008 We consider the problem of finding an optimal design under a Poisson regression model with a log link, any number of independent variables and an additive linear predictor.
Woods, D.C. +3 more
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Bayesian inference for Poisson and multinomial log-linear models [PDF]
, 2009 Categorical data frequently arise in applications in the social sciences. In such applications,the class of log-linear models, based on either a Poisson or (product) multinomial response distribution, is a flexible model class for inference and ...
Forster, Jonathan J.
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Modeling stand mortality using Poisson mixture models with mixed-effects
iForest - Biogeosciences and Forestry, 2015 Stand mortality models play an important role in simulating stand dynamic processes. Periodic stand mortality data from permanent plots tend to be dispersed, and frequently contain an excess of zero counts. Such data have commonly been analyzed using the
Zhang X-Q, Lei Y-C, Liu X-Z
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A spatial mixed Poisson framework for combination of excess-of-loss and proportional reinsurance contracts [PDF]
, 2009 In this paper a purely theoretical reinsurance model is presented, where the reinsurance contract is assumed to be simultaneously of an excess-of-loss and of a proportional type. The stochastic structure of the set of pairs (claim’s arrival time, claim’s
Cerqueti, R +9 more
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Frontiers in Public HealthIntroductionSince its emergence in Burkina Faso in March 2020, the COVID-19 epidemic has undergone several shifts in its trajectory. These fluctuations have been influenced by government control measures, socio-economic dynamics, and biological mutations
Serge M. A. Somda +5 more
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The sparse Poisson means model
Electronic Journal of Statistics, 2015 We consider the problem of detecting a sparse Poisson mixture. Our results parallel those for the detection of a sparse normal mixture, pioneered by Ingster (1997) and Donoho and Jin (2004), when the Poisson means are larger than logarithmic in the sample size.
Arias-Castro, Ery, Wang, Meng
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Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source