Výsledky vyhledávání - "Laleh Tafakori"

Akademický článek

Predicting the development of T1D and identifying its Key Performance Indicators in children; a case-control study in Saudi Arabia

Autor: Ahood Alazwari, Alice Johnstone, Laleh Tafakori, Mali Abdollahian, Ahmed M. AlEidan, Khalid Alfuhigi, Mazen M. Alghofialy, Abdulhameed A. Albunyan, Hawra Al Abbad, Maryam H. AlEssa, Abdulaziz K. H. Alareefy, Mohammad A. Alshamrani

Publikováno v: PLoS ONE, Vol 18, Iss 3 (2023)

The increasing incidence of type 1 diabetes (T1D) in children is a growing global concern. It is known that genetic and environmental factors contribute to childhood T1D. An optimal model to predict the development of T1D in children using Key Perfor

Externí odkaz: https://doaj.org/article/59679fa2a0114f589d53c9dc0ff2cdd8

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Akademický článek

Predicting age at onset of type 1 diabetes in children using regression, artificial neural network and Random Forest: A case study in Saudi Arabia

Autor: Ahood Alazwari, Mali Abdollahian, Laleh Tafakori, Alice Johnstone, Rahma A. Alshumrani, Manal T. Alhelal, Abdulhameed Y. Alsaheel, Eman S. Almoosa, Aseel R. Alkhaldi

Publikováno v: PLoS ONE, Vol 17, Iss 2 (2022)

The rising incidence of type 1 diabetes (T1D) among children is an increasing concern globally. A reliable estimate of the age at onset of T1D in children would facilitate intervention plans for medical practitioners to reduce the problems with delay

Externí odkaz: https://doaj.org/article/c801bb99c63947d8a274e444a748bc81

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Measuring systemic risk and contagion in the European financial network

Autor: Armin Pourkhanali, Riccardo Rastelli, Laleh Tafakori

Publikováno v: Empirical Economics. 63:345-389

This paper introduces a novel framework to study default dependence and systemic risk in a financial network that evolves over time. We analyse several indicators of risk, and develop a new latent space model to assess the health of key European bank

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36de188e5fd245599aa76fbd79c184c7
https://doi.org/10.1007/s00181-021-02135-y

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A Model for Cell Proliferation in a Developing Organism

Autor: Philip K. Pollett, Laleh Tafakori, Peter G. Taylor

Publikováno v: Journal of Mathematical Biology. 84

In mathematical biology, there is a great deal of interest in producing continuum models by scaling discrete agent-based models governed by local stochastic rules. We discuss a particular example of this approach: a model for the proliferation of neu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63a39589902a5bd26e9ed8b77bd7f9d8
https://doi.org/10.1007/s00285-022-01769-5

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Distance covariance for random fields

Autor: Muneya Matsui, Thomas Mikosch, Rasool Roozegar, Laleh Tafakori

We study an independence test based on distance correlation for random fields $(X,Y)$. We consider the situations when $(X,Y)$ is observed on a lattice with equidistant grid sizes and when $(X,Y)$ is observed at random locations. We provide asymptoti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::019cdb7267239cc6db00fcbefd7b7d74
http://arxiv.org/abs/2107.03162

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Forecasting the joint distribution of Australian electricity prices using dynamic vine copulae

Autor: Hans Manner, Farzad Alavi Fard, Laleh Tafakori, Armin Pourkhanali

Publikováno v: Energy Economics. 78:143-164

We consider the problem of modelling and forecasting the distribution of a vector of prices from interconnected electricity markets using a flexible class of drawable vine copula models, where we allow the dependence parameters of the constituting bi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ff3b5e90bc13b61c96e5e471fb13e05f
https://doi.org/10.1016/j.eneco.2018.10.034

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Distance covariance for discretized stochastic processes

Autor: Herold Dehling, Muneya Matsui, Gennady Samorodnitsky, Laleh Tafakori, Thomas Mikosch

Publikováno v: Dehling, H G, Matsui, M, Mikosch, T V, Samorodnitsky, G & Tafakori, L 2020, ' Distance covariance for discretized stochastic processes ', Bernoulli, vol. 26, pp. 2758-2789 . https://doi.org/10.3150/20-BEJ1206
Bernoulli 26, no. 4 (2020), 2758-2789

Given an iid sequence of pairs of stochastic processes on the unit interval we construct a measure of independence for the components of the pairs. We define distance covariance and distance correlation based on approximations of the component proces

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e051b7ecf66bf0bf8417effce661b6e6
https://doi.org/10.3150/20-bej1206

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The MELBS team winning entry for the EVA2017 competition for spatiotemporal prediction of extreme rainfall using generalized extreme value quantiles

Autor: Alec Stephenson, Laleh Tafakori, Kate Saunders

Publikováno v: Extremes. 21:477-484

We present our winning entry for the EVA2017 challenge on spatiotemporal prediction of extreme precipitation. The aim of the competition is to predict extreme rainfall quantiles that score as low as possible on the competition error metric. Good or b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::28428667f5c782d2aa83dd74fb9cea8e
https://doi.org/10.1007/s10687-018-0321-0

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