Background Multiple early reports of patients admitted to hospital with COVID-19 showed
that patients with chronic respiratory disease were significantly under-represented in these …

… Bengtsson, 2008: Sharp failure rates for the bootstrap particle filter in high dimensions.
Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh …

It has been widely realized that Monte Carlo methods (approximation via a sample
ensemble) may fail in large scale systems. This work offers some theoretical insight into this …

This work studies the effects of sampling variability in Monte Carlo-based methods to
estimate very high-dimensional systems. Recent focus in the geosciences has been on …

What is already known about this subject • The occurrence of idiosyncratic drug hepatotoxicity
is a major problem in all phases of clinical drug development and the leading cause of …

We prove that the maximum of the sample importance weights in a high-dimensional
Gaussian particle filter converges to unity unless the ensemble size grows exponentially in the …

Many geophysical problems are characterized by high‐dimensional, nonlinear systems and
pose difficult challenges for real‐time data assimilation (updating) and forecasting. The …

… Bengtsson, 2008: Sharp failure rates for the bootstrap particle filter in high dimensions.
Pushing the Limits of Contemporarly Statistics: Contributions in Honor of Jayanta K. Ghosh …

Objective Neurofibrillary tangles (NFTs), consisting of intracellular aggregates of the tau
protein, are a pathological hallmark of Alzheimer’s disease (AD). Here we report the …

Following the work of Hurvich, Shumway, and Tsai [1990, Improved estimators of Kullback–Leibler
information for autoregressive model selection in small samples. Biometrika 77, 709–…