activity
20092026
most citedEstimation and extrapolation of time trends in registry data---Borrowing strength from related populations

63 citations · 227 across the 34 of their papers we have counts for

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Showing 2019 · stat.MEShow all

5 papers · 2 filters

stat.ME2019

Competing risks joint models using R-INLA

Janet van Niekerk, Haakon Bakka, Haavard Rue

The methodological advancements made in the field of joint models are numerous. None the less, the case of competing risks joint models have largely been neglected, especially from…

stat.ME2019★ 2 cited

Statistical modeling of groundwater quality assessment in Iran using a flexible Poisson likelihood

Mahsa Nadifar, Hossein Baghishani, Afshin Fallah +1

Assessing water quality and recognizing its associated risks to human health and the broader environment is undoubtedly essential. Groundwater is widely used to supply water for dr…

stat.ME2019

Joint Tracking of Multiple Quantiles Through Conditional Quantiles

Hugo Lewi Hammer, Anis Yazidi, Håvard Rue

Estimation of quantiles is one of the most fundamental real-time analysis tasks. Most real-time data streams vary dynamically with time and incremental quantile estimators document…

stat.ME2019

Intuitive joint priors for variance parameters

Geir-Arne Fuglstad, Ingeborg Gullikstad Hem, Alexander Knight +2

Variance parameters in additive models are typically assigned independent priors that do not account for model structure. We present a new framework for prior selection based on a…

stat.ME2019

Quantile Tracking in Dynamically Varying Data Streams Using a Generalized Exponentially Weighted Average of Observations

Hugo Lewi Hammer, Anis Yazidi, Håvard Rue

The Exponentially Weighted Average (EWA) of observations is known to be state-of-art estimator for tracking expectations of dynamically varying data stream distributions. However,…