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