Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Ori Rosen"'
Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information l
Publikováno v:
J Comput Graph Stat
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-domain factor model that provides a flexible yet parsimonious representati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::709b024afb5e707c996baf94be2ae450
https://pubmed.ncbi.nlm.nih.gov/35936018
https://pubmed.ncbi.nlm.nih.gov/35936018
Publikováno v:
J Comput Graph Stat
We present the AdaptSPEC-X 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 incorporate multiple time series, with mixture components par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d036da26268dc3afde8fc2160b9e610
Autor:
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. Our approach is a Bayesian nonparametric method not based solely on a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab1878357aa73a750e63420632f451dc
http://arxiv.org/abs/2011.13800
http://arxiv.org/abs/2011.13800
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 predicting daily deaths attributed to COVID19 for each state in the Uni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1d49e524431cd4a092d23b7ae94d1a8
https://doi.org/10.1101/2020.04.11.20062257
https://doi.org/10.1101/2020.04.11.20062257
Autor:
Vincent W. L. Chin, Martin A. Tanner, John P. A. Ioannidis, Noelle I. Samia, Ori Rosen, Sally Cripps, Roman Marchant
Publikováno v:
European Journal of Epidemiology
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 dissect the predictions made by four models for the daily COVID-19 death
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73a62c984096de4c46aa4e8af3fe196b
Publikováno v:
Ann. Appl. Stat. 13, no. 2 (2019), 683-712
Daily precipitation has an enormous impact on human activity, and the study of how it varies over time and space, and what global indicators influence it, is of paramount importance to Australian agriculture. We analyze over 294 million daily rainfal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07382703fb3657f63f3cd8876055ad15
https://projecteuclid.org/euclid.aoas/1560758424
https://projecteuclid.org/euclid.aoas/1560758424
Publikováno v:
The New Palgrave Dictionary of Economics ISBN: 9781349951215
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89b2efb8e4e26afb473e8375cc7cbb6e
https://doi.org/10.1057/978-1-349-95189-5_2336
https://doi.org/10.1057/978-1-349-95189-5_2336
Autor:
Wesley K. Thompson, Ori Rosen
Publikováno v:
Biometrical Journal. 57:468-484
This paper proposes a semiparametric methodology for modeling multivariate and conditional distributions. We first build a multivariate distribution whose dependence structure is induced by a Gaussian copula and whose marginal distributions are estim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::367a323fabc11fed4aa1efe2660eae0c
https://doi.org/10.1002/bimj.201300130
https://doi.org/10.1002/bimj.201300130
This article considers the problem of analyzing associations between power spectra of multiple time series and cross-sectional outcomes when data are observed from multiple subjects. The motivating application comes from sleep medicine, where researc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::399e63c66bdd7ce2e5325e8521f461bc
https://europepmc.org/articles/PMC5805231/
https://europepmc.org/articles/PMC5805231/