Ni, Yang individual record
Assistant Professor
Positions:
education and training
selected publications
Academic Articles28
  • Zhou, F., He, K., Cai, J. J., Davidson, L. A., Chapkin, R. S., & Ni, Y. (2023). A Unified Bayesian Framework for Bi-overlapping-Clustering Multi-omics Data via Sparse Matrix Factorization.. Statistics in Biosciences. 15(3), 669-691.
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  • Zhou, F., He, K., Wang, K., Xu, Y., & Ni, Y. (2023). Functional Bayesian networks for discovering causality from multivariate functional data.. Biometrics.
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  • Chen, S., He, K., He, S., Ni, Y., & Wong, R. (2023). Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior. Technometrics. ahead-of-print(ahead-of-print), 1-13.
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  • Niu, Y., Ni, Y., Pati, D., & Mallick, B. K. (2023). Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. ahead-of-print(ahead-of-print), 1-15.
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Chapters1
  • Ni, Y., Marchetti, G. M., Baladandayuthapani, V., & Stingo, F. C. (2015). Bayesian Approaches for Large Biological Networks. NONPARAMETRIC BAYESIAN INFERENCE IN BIOSTATISTICS. 153-173. Springer Nature.
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Conference Papers2
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  • Ni, Y., Mller, P., Shpak, M., & Ji, Y. (2019). Parallel-Tempered Feature Allocation for Large-Scale Tumor Heterogeneity with Deep Sequencing Data. Springer Proceedings in Mathematics and Statistics. 218, 233-247.
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Repository Documents / Preprints3
  • Chakrabarti, A., Ni, Y., Morris, E., Salinas, M. L., Chapkin, R. S., & Mallick, B. K. (2023). Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data.
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  • Ni, Y., & Mallick, B. (2022). Ordinal Causal Discovery.
Email
y.ni@tamu.edu
First Name
Yang
Last Name
Ni