84 citations · 86 across the 7 of their papers we have counts for
7 papers
Comparison of Bayesian Nonparametric Density Estimation Methods
Adel Bedoui, Ori Rosen
In this paper, we propose a nonparametric Bayesian approach for Lindsey and penalized Gaussian mixtures methods. We compare these methods with the Dirichlet process mixture model.…
A Case Study in Model Failure? COVID-19 Daily Deaths and ICU Bed Utilisation Predictions in New York State
Vincent Chin, Noelle I. Samia, Roman Marchant +4
Forecasting models have been influential in shaping decision-making in the COVID-19 pandemic. However, there is concern that their predictions may have been misleading. Here, we di…
Learning as We Go: An Examination of the Statistical Accuracy of COVID19 Daily Death Count Predictions
Roman Marchant, Noelle I. Samia, Ori Rosen +2
This paper provides a formal evaluation of the predictive performance of a model (and its various updates) developed by the Institute for Health Metrics and Evaluation (IHME) for p…
Adaptive Bayesian Spectral Analysis of High-dimensional Nonstationary Time Series
Zeda Li, Ori Rosen, Fabio Ferrarelli +1
This article introduces a nonparametric approach to spectral analysis of a high-dimensional multivariate nonstationary time series. The procedure is based on a novel frequency-doma…
AdaptSPEC-X: Covariate Dependent Spectral Modeling of Multiple Nonstationary Time Series
Michael Bertolacci, Ori Rosen, Edward Cripps +1
We present a method for the joint analysis of a panel of possibly nonstationary time series. The approach is Bayesian and uses a covariate-dependent infinite mixture model to incor…
A comparison of methods for modeling marginal non-zero daily rainfall across the Australian continent
Michael Bertolacci, Edward Cripps, Ori Rosen +1
Naveau et al. (2016) have recently developed a class of methods, based on extreme-value theory (EVT), for capturing low, moderate, and heavy rainfall simultaneously, without the ne…