Zobrazeno 1 - 10
of 212
pro vyhledávání: '"Fosdick, Bailey"'
Autor:
Metodiev, Martin, Perrot-Dockès, Marie, Ouadah, Sarah, Fosdick, Bailey K., Robin, Stéphane, Latouche, Pierre, Raftery, Adrian E.
We consider the problem of estimating a high-dimensional covariance matrix from a small number of observations when covariates on pairs of variables are available and the variables can have spatial structure. This is motivated by the problem arising
Externí odkaz:
http://arxiv.org/abs/2411.04520
Team and player evaluation in professional sport is extremely important given the financial implications of success/failure. It is especially critical to identify and retain elite shooters in the National Basketball Association (NBA), one of the prem
Externí odkaz:
http://arxiv.org/abs/2405.10453
It is increasingly common to collect pre-post data with pseudonyms or self-constructed identifiers. On survey responses from sensitive populations, identifiers may be made optional to encourage higher response rates. The ability to match responses be
Externí odkaz:
http://arxiv.org/abs/2312.14689
Autor:
Pugh, Sierra, Levin, Andrew T., Meyerowitz-Katz, Gideon, Soman, Satej, Owusu-Boaitey, Nana, Zwi, Anthony B., Malani, Anup, Wilson, Ander, Fosdick, Bailey K.
The COVID-19 infection fatality rate (IFR) is the proportion of individuals infected with SARS-CoV-2 who subsequently die. As COVID-19 disproportionately affects older individuals, age-specific IFR estimates are imperative to facilitate comparisons o
Externí odkaz:
http://arxiv.org/abs/2308.04012
Autor:
Fout, Alex, Fosdick, Bailey K.
In this manuscript we consider random objects being measured in multiple metric spaces, which may arise when those objects may be measured in multiple distinct ways. In this new multivariate setting, we define a Fr\'echet covariance and Fr\'echet cor
Externí odkaz:
http://arxiv.org/abs/2306.12066
Community discovery is the general process of attaining assortative communities from a network: collections of nodes that are densely connected within yet sparsely connected to the rest of the network. While community discovery has been well studied,
Externí odkaz:
http://arxiv.org/abs/2212.10513
Network regression models, where the outcome comprises the valued edge in a network and the predictors are actor or dyad-level covariates, are used extensively in the social and biological sciences. Valid inference relies on accurately modeling the r
Externí odkaz:
http://arxiv.org/abs/2106.04271
The configuration model is a standard tool for uniformly generating random graphs with a specified degree sequence, and is often used as a null model to evaluate how much of an observed network's structure can be explained by its degree structure alo
Externí odkaz:
http://arxiv.org/abs/2105.12120
In the summer of 2017, the National Basketball Association reduced the number of total timeouts, along with other rule changes, to regulate the flow of the game. With these rule changes, it becomes increasingly important for coaches to effectively ma
Externí odkaz:
http://arxiv.org/abs/2011.11691
Data sets in the form of binary matrices are ubiquitous across scientific domains, and researchers are often interested in identifying and quantifying noteworthy structure. One approach is to compare the observed data to that which might be obtained
Externí odkaz:
http://arxiv.org/abs/2007.15043