List of Publication

2022

  • Payne, R*, Guha, N.* and Mallick, B. (2022+). " A Bayesian Survival Tree Partition Model Using Latent Gaussian Processes”. Submitted.

  • Guha, N. and Datta, J. (2022+). "On posterior Consistency of Bayesian Change Point Model". Preprint.

  • Guha, N. and Roy, A. (2022+). “ Stochastic Approximation Algorithm for Estimating Mixing Distribution: Extensions for Dependent Cases”. Link

2021

  • Niu,Y., Guha N., De, D., Bhadra, A., Baladandayuthapani, V., and Mallick, B. (2021+). “Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures". Under revision in Bayesian Analysis. Link


2020


  • Payne, D., R.,* Guha, N.*, Ding, Y. and Mallick, B. (2020). “A Conditional Density Estimation Partition Model Using Logistic Gaussian Processes”. Biometrika. asz064, https://doi.org/10.1093/biomet/asz064.

  • Guha, N. , Baladandayuthapani V., and Mallick, B. (2020). “Quantile Graphical Model: a Bayesian Approach”. Journal of Machine Learning Research. 21(79),1-47.

(* joint first author)

2019

  • Cheung, S. W., and Guha, N. (2019). “Dynamic Data-driven Bayesian GMsFEM”. Journal of Computational and Applied Mathematics, 353, pp.72-85. Link

  • Das, N., Ghosh, R., P., Guha, N., Bhattacharya, R. and Mallick, B. (2019). “Optimal Transport Based Tracking of Space Objects in Cylindrical Manifolds”. The Journal of the Astronautical Sciences, 66(4), pp.582-606.


2017

  • Efendiev, Y., Leung, W.T., Cheung, S.W., Guha, N., Hoang, V.H., and Mallick, B. (2017). “Bayesian Multiscale Finite Element Methods. Modeling Missing Subgrid Information Probabilistically”; International Journal for Multiscale Computational Engineering. 15(2). Link

  • Yang, K.*, Guha, N.*, Efendiev, Y. and Mallick, B. (2017). “Bayesian and Variational Bayesian Approaches for Flows in Heterogenous Random Media”; Journal of Computational Physics; 345: 275–293. Link

  • Mallick, B., Yang, K., Guha, N. and Efendiev, Y. (2017). “Comment on Article by Chkrebtii, Campbell, Calderhead, and Girolami”; Bayesian Analysis; 11, no. 4: 1279–1284. Link

  • Guha, N. and Tan, X. (2017). “Multilevel Approximate Bayesian Approaches for Flows in Highly Heterogeneous Porous Media and Their Applications”; Journal of Computational and Applied Mathematics; 317: 700-717. Link

(* joint first author)


2016 and earlier

  • Guha, N., Roy, A., Malinovsky, Y. and Datta, G. (2016). “An Optimal Shrinkage Factor in Prediction of Ordered Random Effects”; Statistica Sinica; 26: 1709-1728. Link

  • Guha, N., Wu, X., Efendiev, Y., Jin, B. and Mallick, B. (2015). “A Variational Bayesian Approach for Inverse Problems with Skew-t Error Distributions”; Journal of Computational Physics; 301, C: 377–393. Link

  • Guha, N., Roy, I. and Roy, A. (2013). “Bayesian Estimation of Huff Curves”; Electronic Journal of Statistics; 7: 2794–2821. Link

  • Guha, N., Roy, A., Kopylev, L., Fox, J., Spassova, M. and White, P. (2013). “Nonparametric Bayesian Method for Benchmark Dose Estimation”; Risk analysis; 33: 1608–1619. Link