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pro vyhledávání: '"Lazar, Nicole"'
Many fMRI analyses examine functional connectivity, or statistical dependencies among remote brain regions. Yet popular methods for studying whole-brain functional connectivity often yield results that are difficult to interpret. Factor analysis offe
Externí odkaz:
http://arxiv.org/abs/2409.13963
Functional magnetic resonance imaging (fMRI) is a neuroimaging technique known for its ability to capture brain activity non-invasively and at fine spatial resolution (2-3mm). Cortical surface fMRI (cs-fMRI) is a recent development of fMRI that focus
Externí odkaz:
http://arxiv.org/abs/2312.16346
Autor:
Nixon, Michelle Pistner, McGovern, Kyle C., Letourneau, Jeffrey, David, Lawrence A., Lazar, Nicole A., Mukherjee, Sayan, Silverman, Justin D.
Many scientific fields, including human gut microbiome science, collect multivariate count data where the sum of the counts is unrelated to the scale of the underlying system being measured (e.g., total microbial load in a subject's colon). This disc
Externí odkaz:
http://arxiv.org/abs/2201.03616
Autor:
Toutiaee, Mohammadhossein, Li, Xiaochuan, Chaudhari, Yogesh, Sivaraja, Shophine, Venkataraj, Aishwarya, Javeri, Indrajeet, Ke, Yuan, Arpinar, Ismailcem, Lazar, Nicole, Miller, John
In this work, we study the pandemic course in the United States by considering national and state levels data. We propose and compare multiple time-series prediction techniques which incorporate auxiliary variables. One type of approach is based on s
Externí odkaz:
http://arxiv.org/abs/2107.10397
Autor:
Moon, Chul, Lazar, Nicole A.
Topological data analysis involves the statistical characterization of the shape of data. Persistent homology is a primary tool of topological data analysis, which can be used to analyze topological features and perform statistical inference. In this
Externí odkaz:
http://arxiv.org/abs/2006.05466
Autor:
Weber, James S., Lazar, Nicole A.
Uniform bin width histograms are widely used so this data graphic should represent data as correctly as possible. Method of moments based on familiar mean, variance and Fisher-Pearson skewness cure this problem.
Comment: Updates: Weber, J. S. (2
Comment: Updates: Weber, J. S. (2
Externí odkaz:
http://arxiv.org/abs/1909.04232
Publikováno v:
In Quaternary International 20 March 2023 650:86-100
Topological data analysis (TDA) is a rapidly developing collection of methods for studying the shape of point cloud and other data types. One popular approach, designed to be robust to noise and outliers, is to first use a smoothing function to conve
Externí odkaz:
http://arxiv.org/abs/1705.02037
Autor:
Jaeger, Adam, Lazar, Nicole
We propose a new approach that combines multiple non-parametric likelihood-type components to build a data-driven approximation of the true likelihood function. Our approach is built on empirical likelihood, a non-parametric approximation of the like
Externí odkaz:
http://arxiv.org/abs/1703.03312