Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nicholas Michaud"'
Publikováno v:
Journal of Statistical Software, Vol 100, Pp 1-39 (2021)
nimble is an R package for constructing algorithms and conducting inference on hierarchical models. The nimble package provides a unique combination of flexible model specification and the ability to program model-generic algorithms. Specifically, th
Externí odkaz:
https://doaj.org/article/7903ca0e750e4f20a8ad6b7a3ac1f6a3
Publikováno v:
Ecology and Evolution, Vol 10, Iss 5, Pp 2385-2416 (2020)
Abstract Improved efficiency of Markov chain Monte Carlo facilitates all aspects of statistical analysis with Bayesian hierarchical models. Identifying strategies to improve MCMC performance is becoming increasingly crucial as the complexity of model
Externí odkaz:
https://doaj.org/article/16b563374be24e999d86a9a4597cdc77
There has been an explosion in formal data science and healthcare data science programs, degrees and tracks at the university level over the last five years, with over 100 universities currently offering formal data science degrees. We conducted a la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70f44d5fdfb7146e7ad4ed6f25c718b2
https://doi.org/10.1101/2022.12.14.22283366
https://doi.org/10.1101/2022.12.14.22283366
Publikováno v:
Journal of Statistical Software. 100
nimble is an R package for constructing algorithms and conducting inference on hierarchical models. The nimble package provides a unique combination of flexible model specification and the ability to program model-generic algorithms. Specifically, th
Autor:
Daniel Turek, Christopher J. Paciorek, Perry de Valpine, Nicholas Michaud, Yves F. Atchadé, Dao Nguyen
Publikováno v:
Bayesian Anal. 15, no. 4 (2020), 1323-1343
Markov chain Monte Carlo (MCMC) methods are ubiquitous tools for simulation-based inference in many fields but designing and identifying good MCMC samplers is still an open question. This paper introduces a novel MCMC algorithm, namely, Nested Adapta
Autor:
Nicholas Michaud, Jarad Niemi
Publikováno v:
Online Journal of Public Health Informatics. 8
We present a model for forecasting influenza severity which uses historic and current data from both ILINet and Google Flu Trends. The model takes advantage of the accuracy of ILINet data and the real-time updating of Google Flu Trends data, while al
Publikováno v:
Online Journal of Public Health Informatics. 8
We present a user-friendly online application for viewing CDC disease count data. The application creates plots for user selected diseases, time ranges and geographic scales. An optional alert threshold informs the user when a disease count has risen
Autor:
Nicholas Michaud, Harold Gil
Publikováno v:
Online Journal of Public Health Informatics. 8
An interactive, point-and-click (R-Shiny) application was developed to facilitate the routine assessment of known data quality factors that compromise the integrity and timeliness of data sets used at the Marion County Public Health Department (MCPHD