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Aniket Biswas Profile

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Aniket Biswas Profile ANIKETBISWAS personal information Born in West Bengal, India July 29, 1994 E-mail [email protected] · aniket [email protected] University https://dibru.ac.in/userlist/welcome/profile/569 Profile Github Profile https://github.com/aniketstat ResearchGate https://www.researchgate.net/profile/Aniket Biswas Profile research interests Multiple testing procedures with special focus on estimation of the proportion of true null hypotheses. Statistical analysis of microarray and next generation sequencing data. Stress-strength reliability. Theoretical distributions and applications. teaching experience 2018–Present Assistant Professor, Dibrugarh University 2017–2018 Lecturer, Sivanath Sastri College education 2017-Present University of Calcutta Ph.D. in Statistics Thesis (working): Estimating the proportion of true null hypotheses under multiple (Pursuing) testing setup Description: The thesis will introduce new methods for estimating the proportion of true null hypotheses under different multiple testing scenarios and will also focus on application of adaptive algorithms in biological and industrial data. Advisor: Prof. Gaurangadeb Chattopadhyay. 2015-2017 University of Calcutta M.Sc. in Statistics Specialization: Statistical inference. 2012-2015 University of Calcutta B.Sc. Honours in General subjects: Mathematics and Economics. Statistics research articles published/ to appear 1. Biswas, A. (2020). Estimating the proportion of true null hypotheses with application in microarray data. Communications in Statistics: Simulation and Computation. DOI: https://doi.org/10.1080/03610918.2020.1800036. (arXiv preprint: https://arxiv.org/abs/1904.13282) 2. Biswas, A., Chakraborty, S., & Mukherjee, M. (2020). On estimation of stress-strength reliability with log-Lindley 2 distribution. Journal of Statistical Computation and Simulation. DOI:https://doi.org/10.1080/00949655.2020.1807549 . (arXiv preprint: https://arxiv.org/abs/1909.02303) 3. Biswas, A. (2020). Regarding paper “Multiple testing with discrete data: Proportion of true null hypotheses and two adaptive FDR procedures” by Xiongzhi Chen, Rebecca W. Doerge and Joseph F. Heyse. Biometrical Journal. DOI: https://doi.org/10.1002/bimj.202000139. 4. Biswas, A., & Chakraborty, S. (2021). Stress-strength reliability for the unit-Lindley distribution with an application. Calcutta Statistical Association Bulletin. DOI: https://doi.org/10.1177/0008068321998111 (arXiv preprint: https://arxiv.org/abs/1904.06181) 5. Biswas, A., Chattopadhyay, G., & Chatterjee, A. (2021). Bias corrected estimators for proportion of tue null hypotheses under exponential model: application of adaptive FDR-controlling in segmented failure data. Journal of Applied Statistics. DOI:https://doi.org/10.1080/02664763.2021.1957790. (arXiv preprint: https://arxiv.org/abs/2007.13099) 6. Banerjee, A., Chakraborty, S., & Biswas, A. (2021). Statistical Issues in Modelling Happiness Level of Immigrants: An Investigation with WHR, 2018. To appear in Thailand Statistician. (arXiv preprint: https://arxiv.org/abs/1910.07748) under revision/ submitted 1. Ong, S.H., Chakraborty, S., & Biswas, A. (2020). A new generalization of the geometric distribution using Azzalini’s mechanism: properties and application. Submitted. (arXiv preprint: https://arxiv.org/abs/2010.04507) 2. Biswas, A., & Chattopadhyay, G. (2020). Estimating the proportion of true null hypotheses under discrete setup with proven false discovery rate control by the adaptive Benjamini-Hochberg procedure. Submitted. (arXiv preprint: https://arxiv.org/abs/2009.03803) 3. Biswas, A., & Chakraborty, S. (2020). Constructing distributions on the unit interval with application of a derived distribution in clinical studies. Submitted. (arXiv preprint: https://arxiv.org/abs/2101.04661) 4. Biswas, A., Chakraborty, S., & Baruah, V.J. (2021). Estimation of the proportion of true null hypotheses under sparse dependence with application to colorectal cancer. Submitted. seminar presentations 1. Presented a paper “Hierarchical Bayesian Estimation Of Species Richness In Correlated Abundance Setup” in National seminar on RTTAS- 4, held on 15th to 16th March, 2019; organised by Department of Statistics, Dibrugarh University. 3 2. Presented a paper “ESTIMATING PROPORTION OF TRUE NULL HYPOTHESES BASED ON SUM OF ALL p-values” in National seminar on RTTAS- 4, held on 15th to 16th March, 2019; organised by Department of Statistics, Dibrugarh University. courses taught B.Sc Courses Descriptive Statistics, Basic Probability Theory. PG Diploma Sample Survey, Design of Experiments, Time Series. Courses M.Sc Courses Statistics with Computer, Reliability Engineering, Real Analysis. computer skills R, RStudio, Stan, LATEX, C++. other academic activities 1. Acted as resource person in the “Two days workshop cum hands-on training programme on application of R-STAT software in research methodology” held on 20th to 21st July, 2018; Organized by CEED, New Delhi and Department of Geography, Shri Shikshayatan College, Kolkata. July 27, 2021.
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