Mixed Poisson
Ergodicity conditions for a double mixed Poisson autoregression
... double mixed Poisson autoregression in which the intensity, scaled by a unit mean independent and identically distributed ( iid ) mixing process, has di¤erent regime speci…cations according to the state of ...
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On periodic ergodicity of a general periodic mixed Poisson autoregression
... In this paper we proposed to enlarge the class of mixed Poisson autoregressions so as to include periodicity in their conditional distribution. The proposed model encompasses a large class of conditional ...
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Modeling Recurrent Events in Panel Data Using Mixed Poisson Models
... Measures of recurrence are functionals of the MPD that summarise the repeat behavior of the occurrence of an event. Statistical estimators of these measures are com- monly used for the analysis of data in fields such as ...
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How many latent classes of delinquent/criminal careers? Results from mixed Poisson regression analyses
... In an attempt to clarify these and re- lated issues, this article reviews some theoretical questions recently raised about the number and characteristics of different categories [r] ...
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Robustness of maximum likelihood estimates for mixed Poisson regression models
... Gustafson (1996) used an influence function approach (Hampel et al., 1986) (Huber, 1981) to examine the robustness of maximum likelihood estimates for certain conjugate mixture models un[r] ...
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Long term impact of self financed rotavirus vaccines on rotavirus associated hospitalizations and costs in the Valencia Region, Spain
... RVAGE and AGE hospitalization rates and the impact of vaccination were analyzed for five age groups 0,1,2,3 and 4 years by a Bayesian mixed Poisson regression, adjusted by gender, vaccin[r] ...
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Degenerate Poisson Distribution
... the Poisson distribution such as the Polya process, truncation of the domain, stuttering Poisson distribution, linear combinations of Poisson variables, particle counting, collective risk theory, ...
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Comparing zero-inflated Poisson, Poisson gamma, and Poisson lognormal regression models in dental health data
... One way to deal with overdispersion is to use mixed Poisson gamma models. Another way is to use the zero-inflated models which were used in this study because of having too many zeros in the data. In order ...
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Reference-free SNP calling: improved accuracy by preventing incorrect calls from repetitive genomic regions
... However, in the absence of a reference genome, refer- ence sites have to be established first from a large num- ber of short reads before calling SNPs, which is usually carried out through the read-clustering approach ...
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Dynamic Frailty and Change Point Models for Recurrent Events Data
... Abstract. We present a Bayesian analysis for recurrent events data using a nonhomogeneous mixed Poisson point process with a dynamic subject-specific frailty function and a dynamic baseline intensity func- ...
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Generalized linear mixed models for count data
... in Poisson mixed models (the GLMMs there the conditional distribution of response variables condition on the random effects is assumed to be ...the Poisson distribution has only one free parameter λ, ...
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Modified intervened Poisson distribution
... intervened Poisson distribu- tion which extends the IPD and an advantage of this distribution over the IPD is that it stretches the probability in all directions so that clustering of probabili- ties at initial ...
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MEAN VALUES FOR HOMOGENEOUS STIT TESSELLATIONS IN 3D
... Two well-established mathematical models for random tessellations are the Poisson-Voronoi tessellation and the Poisson plane tessellation (in 3D) or Poisson line tessellation (in 2D), respectively, ...
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Vol 6, No 6 (2015)
... zero-truncated Poisson distribution when its parameter 𝜆𝜆 follows quasi Lindley distribution with probability density function ...zero-truncated Poisson-Lindley (ZTPL) distribution ...
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Bounds for the approximation of Poisson binomial distribution by Poisson distribution
... the Poisson approximation problems for the distributions of the sums of the discrete independent random variables like Poisson- binomial, geometric, and negative binomial ...
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A nonuniform bound for the approximation of Poisson binomial by Poisson distribution
... A NONUNIFORM BOUND FOR THE APPROXIMATION OF POISSON ... 3043 where h is a function that is used to test convergence and N(h) = E[h(Z)] where Z is the standard normal. Chen [3] applied Stein’s ideas in the ...
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Poisson (Co)homology of a Class of Frobenius Poisson Algbras
... The homology theorem of the singular algebra is few. Launois S and Richard L [7] calculate the Poisson (Co)homology of truncated polynomial algebras in 2 variables, and established the twisted Poincaré duality ...
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Modelling of the Abundance of Malaria Mosquitoes Using Poisson Mixed Model
... Anopheles funestus and Anopheles gambiae are malaria vector mosquitoes. Knowing their resting behavior is important for implementing control me- thods. The aim of this study was to investigate the resting behaviour of ...
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Reithinger, Florian (2006): Mixed models based on likelihood boosting. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... The Jimma Infant Survival Differential Longitudinal Study which is extensively described in Lesaffre, Asefa & Verbeke (1999) is a cohort study examining the live births which took place during a one year period from ...
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The DG Poisson Adjoint Action and its Application
... -graded Poisson module over the graded Poisson algebra ...DG Poisson Hopf algebra concentrated in degree 0 with trivial Poisson bracket and trivial differential, ...
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