About me
I am a final year PhD candidate in the Department of Statistics & Probability at Michigan State University. I am working under the supervision of Dr. Taps Maiti and Dr. Shrijita Bhattacharya.
I received my Master of Science in Economics (thesis advisor: Dr. Arshad Rahman) and Bachelor of Technology in Computer Science and Engineering from Indian Institute of Technology (IIT) Kanpur, India (2017).
You can find my resume here.
Publications
- “
Structurally Sparse Bayesian Neural Networks: Spike and Slab Hierarchical Priors ,”
S. Jantre, S. Bhattacharya, and T. Maiti. In preparation. - “
Fecal microbiota transplants of three distinct human communities to germ-free mice exacerbated inflammation and decreased lung function in their offspring,”
I. Moya Uribe, H. Terauchi, J. Bell, A. Zanetti, S. Jantre, M. Huebner, S. Arshad, S. Ewart, and L. Mansfield. In preparation. - “
Sequential Bayesian Neural Subnetwork Ensembles ,”
S. Jantre, S. Madireddy, S. Bhattacharya, T. Maiti., and P. Balaprakash. Under revision. - “
Layer Adaptive Node Selection in Bayesian Neural Networks: Statistical Guarantees and Implementation Challenges,”
S. Jantre, S. Bhattacharya, and T. Maiti. Revision under review. - “
Bayesian Quantile Regression for Longitudinal Count Data,”
S. Jantre. to appear in the Journal of Statistical Computation and Simulation. - “
Evaluation of Active Warming and Surgical Draping Practices for Perioperative Thermal Support in Laboratory Mice ,”
K. T. Bailey, S. Jantre, F. R. Lawrence, F. C. Hankenson, and J. M. DelValle. to appear in the Journal of the American Association for Laboratory Animal Science. - “
Improving Corrected QT; Why Individual Correction is not Enough ,”
N. D. Ether, S. Jantre, D. B. Sharma, D. Leishman, M. Bailie, and A. Lauver. Journal of Pharmacological and Toxicological Methods, 113, pp. 107126, 2022. - “
Low-Rank Tensor Regression for X-Ray Tomography ,”
S. Jantre and Z. W. Di. 28th IEEE International Conference on Image Processing (ICIP 2021), pp. 2833-2837, Anchorage, AK, USA. - “
Quantile Regression Neural Networks: A Bayesian Approach ,”
S. Jantre, S. Bhattacharya, and T. Maiti. Journal of Statistical Theory and Practice 15 (68), 1-34, 2021.