Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Sørbye, Sigrunn H"'
Spatial population synchrony has been the focus of theoretical and empirical studies for decades, in the hopes of understanding mechanisms and interactions driving ecological dynamics. In many systems, it is well-known that seasonality plays a critic
Externí odkaz:
http://arxiv.org/abs/2203.16118
Autor:
Moe, Åse Mari, Ytterstad, Elinor, Hopstock, Laila A., Løvsletten, Ola, Carlsen, Monica H., Sørbye, Sigrunn H.
Publikováno v:
In Nutrition, Metabolism and Cardiovascular Diseases March 2024 34(3):681-690
The class of autoregressive (AR) processes is extensively used to model temporal dependence in observed time series. Such models are easily available and routinely fitted using freely available statistical software like R. A potential caveat in analy
Externí odkaz:
http://arxiv.org/abs/2010.05870
Classical assessments of trends in gridded temperature data perform independent evaluations across the grid, thus, ignoring spatial correlations in the trend estimates. In particular, this affects assessments of trend significance as evaluation of th
Externí odkaz:
http://arxiv.org/abs/1901.08874
Prior specifications for hyperparameters of random fields in Bayesian spatial point process modelling can have a major impact on the statistical inference and the conclusions made. We consider fitting of log-Gaussian Cox processes to spatial point pa
Externí odkaz:
http://arxiv.org/abs/1709.06781
Fractional Gaussian noise (fGn) is a stationary time series model with long memory properties applied in various fields like econometrics, hydrology and climatology. The computational cost in fitting an fGn model of length $n$ using a likelihood-base
Externí odkaz:
http://arxiv.org/abs/1709.06115
Autor:
Rue, Håvard, Riebler, Andrea, Sørbye, Sigrunn H., Illian, Janine B., Simpson, Daniel P., Lindgren, Finn K.
The key operation in Bayesian inference, is to compute high-dimensional integrals. An old approximate technique is the Laplace method or approximation, which dates back to Pierre- Simon Laplace (1774). This simple idea approximates the integrand with
Externí odkaz:
http://arxiv.org/abs/1604.00860
In recent years, disease mapping studies have become a routine application within geographical epidemiology and are typically analysed within a Bayesian hierarchical model formulation. A variety of model formulations for the latent level have been pr
Externí odkaz:
http://arxiv.org/abs/1601.01180
In this paper, we introduce a new concept for constructing prior distributions. We exploit the natural nested structure inherent to many model components, which defines the model component to be a flexible extension of a base model. Proper priors are
Externí odkaz:
http://arxiv.org/abs/1403.4630
Publikováno v:
Journal of the Royal Statistical Society. Series C (Applied Statistics), 2019 Jan 01. 68(3), 543-564.
Externí odkaz:
https://www.jstor.org/stable/26800867