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High Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections.

, , , , , , , , , and . IEEE Signal Process. Mag., 29 (1): 108-123 (2012)

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Bayesian neural networks and dimensionality reduction., , and . CoRR, (2020)Ellipsoid fitting with the Cayley transform., and . CoRR, (2023)Posterior consistency in conditional distribution estimation., , and . J. Multivar. Anal., (2013)Subspace segmentation by dense block and sparse representation., , , , , and . Neural Networks, (2016)Locally Convex Kernel Mixtures: Bayesian Subspace Learning., , and . ICMLA, page 272-275. IEEE, (2019)Multi-task compressive sensing with Dirichlet process priors., , , and . ICML, volume 307 of ACM International Conference Proceeding Series, page 768-775. ACM, (2008)Uncovering Systematic Bias in Ratings across Categories: a Bayesian Approach., and . RecSys, page 317-320. ACM, (2015)No penalty no tears: Least squares in high-dimensional linear models., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1814-1822. JMLR.org, (2016)Bayesian learning of joint distributions of objects., , and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 1-9. JMLR.org, (2013)Bayesian Logistic Gaussian Process Models for Dynamic Networks., and . AISTATS, volume 33 of JMLR Workshop and Conference Proceedings, page 194-201. JMLR.org, (2014)