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Rhinitis associated with asthma is distinct from rhinitis alone: The ARIA-MeDAL...

Bousquet, J.; Melén, E.; Haahtela, T.; Koppelman, G. H.; Togias, A.; Valenta, R.; Akdis, C. A.; Czarlewski, W.; Rothenberg, M.; Valiulis, A.

Asthma, rhinitis, and atopic dermatitis (AD) are interrelated clinical phenotypes that partly overlap in the human interactome. The concept of "one-airway-one-disease," coined over 20 years ago, is a simplistic approach of the links between upper- and lower-airway allergic diseases. With new data, it is time to reassess the concept. This article reviews (i) the clinical observations that led to Allergic Rhiniti...


The max-BARMA models for counts with bounded support

Weiß, Christian H.; Scotto, Manuel G.; Möller, Tobias A.; Gouveia, Sónia

In this note, we introduce a discrete counterpart of the conventional max-autoregressive moving-average process of Davis & Resnick (1989), based on the binomial thinning operator and driven by a sequence of i. i. d. nonnegative integer-valued random variables with a finite range of counts. Basic probabilistic and statistical properties of this new class of models are discussed in detail, namely the existence of...


A full ARMA model for counts with bounded support and its application to rainy-...

Gouveia, Sónia; Möller, Tobias A.; Weiß, Christian H.; Scotto, Manuel G.

Motivated by a large dataset containing time series of weekly number of rainy days collected over two thousand locations across Europe and Russia for the period 2000–2010, we propose a new class of ARMA-like model for time series of bounded counts, which can also handle extra-binomial variation. We abbreviate this model as bvARMA, as it is based upon a novel operation referred to as binomial variation. After ha...


Testing the compounding structure of the CP-INARCH model

Weiß, Christian H.; Gonçalves, Esmeralda; Mendes-Lopes, Nazaré

A statistical test to distinguish between a Poisson INARCH model and a Compound Poisson INARCH model is proposed, based on the form of the probability generating function of the compounding distribution of the conditional law of the model. For first-order autoregression, the normality of the test statistics’ asymptotic distribution is established, either in the case where the model parameters are specified, or ...


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