Madhuchhanda Bhattacharjee
Recipient of INSA Teachers Award 2022, Indian National Science Academy, New Delhi (http://www.insaindia.res.in).
Embedded Files
Reader in Statistics and Data Science
Department of Mathematics
University of Manchester
United Kingdom
M13 9PL
madhuchhanda.bhattacharjee@manchester.ac.uk
· COVID-19 : Modelling and Analysis (opens separate webpage)
· Modelling and analysis of large and/or heterogeneous data:
Bioinformatics, Statistical Genetics, Environmental data, Reliability & Survival Analysis and Econometrics
· Bayesian Integrated modelling of large data
· Regression modelling of large data
· Inference on random matrices arising from big-data
Statistics: Young Researchers' Hub
Presents
Seminar on
“Design and Analysis of Prevalence Surveys for Neglected Tropical Diseases”
by
Prof. Peter J Diggle, Lancaster University, UK
On 5-September-2022, 13:30-14:30 (IST)
I. Articles Published/Accepted for Publication (Refereed) 53. M. Bhattacharjee. D. Kappara and Arup Bose (2021). Modelling COVID-19-II: Spatio-temporal models with application to Kerala data. In Journal of Indian Statistical Association, 59(2). Special Issue on “Spatio-Temporal Statistics”. To appear.52. The DREAM Preterm Birth Prediction Challenge Consortium (2021) Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth. Cell Reports Medicine, Volume 2, Issue 6, 15 June 2021, Doi:10.1016/j.xcrm.2021.100323.51. A. Bose, M. Bhattacharjee, (2021) Kernel Density Estimates in a Non-standard Situation. J Stat Theory Pract 15, 22 (2021). https://doi.org/10.1007/s42519-020-00161-0.50. M. Bhattacharjee and Arup Bose (2020). Modelling COVID-19-I: A dynamic SIR(D) with application to Indian data. In Journal of Indian Statistical Association, 58(2), pp 113-133. Special Issue on “Count Data Modelling” (published 6-Jan-2022). https://drive.google.com/file/d/19glJnpgWWXbQnyxcAkdb7bUIEuc18aEI/view49. M. Bhattacharjee, A. Bose. (2020) Modelling COVID-19-I: a dynamic SIR(D) with application to Indian data. 10-September-2020. arXiv:2009.0504448. The DREAM Preterm Birth Prediction Challenge Consortium (2020) Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth, bioRxiv, 6-June-2020, doi: https://doi.org/10.1101/2020.06.05.13097147. M.Bhattacharjee, J. Dopazo and R. Davuluri (2019) Co-editor, Frontiers Research Topic, "Data Integration and Reproducibility". Frontiers in Genetics - Bioinformatics and Computational Biology, completed-19 Jul 2019 (https://www.frontiersin.org/research-topics/8573/data-integration-and-reproducibility)46. M. Bhattacharjee, (2017) Meta Analytic Data Integration for Phenotype Prediction: Application to Chronic Fatigue Syndrome. arXiv:1702.01838. 7 Feb 2017. 34 pp.45 P.S. Arun, S. Chattopadhyay, S. K. Miriyala, K. Tiyyagura, P. Bawa, M. Bhattacharjee and S. Yellaboina (2016) Identification and functional analysis of essential, conserved, housekeeping and duplicated genes. FEBS Letters, online: 30 April 2016, DOI: 10.1002/1873-3468.12192.44. M. Bhattacharjee, M.J. Sillanpää and M.S. Rajeevan (2015) Prediction of complex human diseases from pathway-focused candidate markers by joint estimation of marker effects: case of chronic fatigue syndrome. Human Genomics, 11 June 2015. doi: 10.1186/s40246-015-0030-6.43. M. Bhattacharjee and S. Chatterjee (2015) On Bayesian spatio-temporal modeling of oceanographic climate characteristics. In “Current Trends in Bayesian Methodology with Applications”, Eds: S.K. Upadhyay, U. Singh, Dipak K. Dey, A. Loganathan. Chapman and Hall/CRC, ISBN 9781482235111.42. M. Bhattacharjee and E. Arjas, "Modelling and analysis of time in-homogeneous recurrent event processes in heterogeneous population: A case study of HRTs". arXiv:1411.4846. 18 Nov 2014. 31pp.41. NCBI-Drug sensitivity consortium paper (2014). A community effort to assess and improve drug sensitivity prediction algorithms, Nature Biotechnology, published online 1 June 2014; doi:10.1038/nbt.2877.40. Flow-CAP & DREAM consortium paper (2013) Critical assessment of automated flow cytometry data analysis techniques, Nature Methods, published online 10-Feb-2013; doi:10.1038/nmeth.2365.39. DREAM6 consortium paper (2013) Inferring gene expression from ribosomal promoter sequences, a crowdsourcing approach, Genome Research, 11/2013; DOI:10.1101/gr.157420.113.38. M. Bhattacharjee (2013) Methods for Survival Prediction with High-Dimensional Covariates: A review. J. of Indian Statistical Association, 51, No.1.37. M. Bhattacharjee, R. Gupta and R. Davuluri, (2012) Estimation of gene expression at isoform level from mRNA-Seq data by Bayesian hierarchical modeling. Front. Genetics, 27 November 2012 | doi: 10.3389/fgene.2012.0023936. M. Bhattacharjee and M.J. Sillanpää, (2011) A Bayesian Mixed Regression based Prediction of Quantitative Traits from Molecular Marker and Gene Expression Data. PLoS One. 2011;6(11):e26959. Epub 2011 Nov 7. https://doi.org/10.1371/journal.pone.0026959.35. H. Jow, M. Bhattacharjee, R.J. Boys and D.J. Wilkinson (2010). The integration of genetic maps using Bayesian inference. J. Comp. Biol., 17(6): 825-840. doi: 10.1089/cmb.2008.0243.34. M. Bhattacharjee and M.J. Sillanpää, (2010) A Bayesian Mixed Regression based Prediction of Qualitative Traits. Best performing work in RECOMB/DREAM5 Systems Genetics Challenge-B3.33. C.C. Pritchard, B. Mecham, R. Dumpit, I. Coleman, M. Bhattacharjee, Q. Chen, R.A. Sikes and P.S. Nelson (2009), Conserved Gene Expression Programs Integrate Mammalian Prostate Development and Tumorigenesis, Cancer Research, Vol 69(5), 1739-1747. doi: 10.1158/0008-5472.CAN-07-6817. Epub 2009 Feb 17.32. M. Bhattacharjee and M.J. Sillanpää (2009), Bayesian Joint Disease-Marker-Expression Analysis Applied to Clinical Characteristics of Chronic Fatigue Syndrome, In: Methods of Microarray Data Analysis VI. (Proceedings of the CAMDA06 Conference) Eds. P. McConnell, S. Lim, and A. J. Cuticchia. CreateSpace Publishing, Scotts Valley, California, pp.15-34.31. M. Bhattacharjee, C.H. Botting and M.J. Sillanpää (2008) Bayesian biomarker identification based on marker-expression-proteomics data, Genomics, 92, 384–392. doi: 10.1016/j.ygeno.2008.06.006. Epub 2008 Aug 15.30. M. Bhattacharjee, C.C. Pritchard and P.S. Nelson (2008), A Bayesian Framework for Data and Hypotheses Driven Fusion of High Throughput Data: Application to Mouse Organogenesis, In Proceedings of Pacific Symposium on Biocomputing 2008. https://doi.org/10.1142/9789812776136_0019.29. A. Bhattacharjee and M. Bhattacharjee (2007). Bayesian Analysis of Hazard Regression Models under Order Restrictions on Covariate Effects and Ageing. In MPRA: Munich Personal RePEc Archive, Jul-2007(3938), pp. 26. University Library of Munich, Germany. https://mpra.ub.uni-muenchen.de/id/eprint/3938. 28. M.J. Sillanpää and M. Bhattacharjee (2006), Bayesian Association Mapping of Complex Trait Loci with Context-Dependent Effects, Genetics, 174, 1597-1611. doi: 10.1534/genetics.106.061275.27. M.J. Sillanpää and M. Bhattacharjee (2005), Bayesian Association-Based Fine Mapping in Small Chromosomal Segments, Genetics, 169, 427-439. doi: 10.1534/genetics.104.032680.26. M. Bhattacharjee, C.C. Pritchard, P.S. Nelson and E. Arjas (2004), Bayesian Integrated Functional Analysis of Microarray Data, Bioinformatics, 20, 17, 2943-2953. DOI: 10.1093/bioinformatics/bth338. Epub 2004 Jun 4.25. M. Bhattacharjee, J.V. Deshpande and U.V. Naik-Nimbalkar (2004), Unconditional Tests of Goodness-of-fit for The Intensity of Time Truncated Non-Homogeneous Poisson Processes, Technometrics, August, 46, 3, 330-338. http://dx.doi.org/10.1198/004017004000000356.24. M. Bhattacharjee, C.C. Pritchard, M.J. Sillanpää and E. Arjas (2003), Bayesian Characterization of Natural Variation in Gene Expression in Methods of Microarray Data Analysis III, (Proceedings of the CAMDA02 Conference), Ed. Johnson K. and Lin, S., Kluwer Academic Publishers. https://doi.org/10.1007/0-306-48354-8_11.23. M. Bhattacharjee and E. Arjas (2003), Bayesian modelling of failure prediction using maintenance information, in Safety and Reliability, Ed. Bedford, T. and van Gelden, P.H.A.J.M., Proceedings of ESREL 2003, A.A.Balkema Publishers/Swets & Zeitlinger.22. E. Arjas and M. Bhattacharjee (2003), Modelling heterogeneity: Hierarchical Bayesian approach, in Mathematical Reliability: An Expository Perspective, Ed: Mazzuchi, T.A., Singpurwalla, N.D. and Soyer, R., Kluwer Academic Publishers. pp 71-86.21. M. Bhattacharjee (2001), Inference for Non-homogeneous Poisson Processes: Models for Repairable Systems, Proceedings of the International Statistical Institute, August 2001, Seoul, Korea (winning paper of Jan Tinbergen Award 2001). http://isi.cbs.nl/iamamember/CD2/pdf/1057.pdf.20. G.P. Samanta and M. Bhattacharjee (2000), Economic Shocks and Relationship between Relative Price Variability and Inflation Rate in India during 90s, International Journal of Applied Economics and Econometrics (formerly Indian Journal of Applied Economics), special issue in Honour of Prof. Paul A. Samuelson, 8, Part IV, 357-376.19. G.P. Samanta and M. Bhattacharjee (2000), Are Seasonal Adjustment Method and HP-Filter Useful for Estimating Core Inflation in India? International Journal of Development Banking, 18, 2, 61-77.18. J.V. Deshpande, M. Mukhopadhyay (Bhattacharjee) and U.V. Naik-Nimbalkar (2000), Bayesian Nonparametric Estimation of Intensity functions using Markov Chain Monte Carlo Method, Calcutta Statistical Association Bulletin, 50, 3-4, 223-236. DOI: https://doi.org/10.1177/0008068320000309 .17. J.V. Deshpande, M. Mukhopadhyay (Bhattacharjee) and U.V. Naik-Nimbalkar (1999), Testing of Two Sample Proportional Intensity Assumption for Non-homogeneous Poisson Processes, J. of Statistical Planning and Inference, 81, 2, 237-251. II. Papers in International Compilation Works/ Conference Proceedings16. G.P. Samanta and M. Bhattacharjee (2003), Economic Shocks and Relationship between Relative Price Variability and Inflation Rate in India during 90s, in Theory and Practice of Macro and Micro Economics, Ed. Puttaswamaiah, K. pp 357-376. http://www.drkps.com/books/theory-and-practice-of-macro-and-micro-economics-2003.html15. M. Bhattacharjee, E. Arjas and U. Pulkkinen (2003), Modelling Heterogeneity in Nuclear Power Plant Valve Failure Data, in Mathematical and Statistical Methods in Reliability, Ed. Lindqvist, B. and Doksum, K., World Scientific Publishing Co, pp 341-353. https://doi.org/10.1142/9789812795250_0022. ISBN: 978-981-238-321-1.14. M. Bhattacharjee and E. Arjas (2003), Bayesian Latent Class Modelling of Microarray Data, Proceedings of the International Statistical Institute, August, 2003, Berlin, Germany. http://isi.cbs.nl/iamamember/CD3/index.html.13. J.V. Deshpande, M. Mukhopadhyay (Bhattacharjee) and U.V. Naik-Nimbalkar (2000), Tests for Equality of Intensities of Failures of a Repairable System under Two Competing Risks, in Recent Advances in Reliability Theory: Methodology, Practice and Inference, Ed. N. Limnios and M. Nikulin, Birkhäuser Boston. 391-404. ISBN: 978-1-4612-7124-6.12. M. Bhattacharjee, M.J. Sillanpää and E. Arjas (2002), Bayesian Characterization of Natural Variation in Gene Expression, Abstracts of papers for CAMDA02 Conference, Nov, Durham, USA. http://camda.duke.edu/camda02/papers/days/papers/bhattacharjee/paper.pdf. III. Book Reviews:11. M. Bhattacharjee (2005) Review of Statistical methods for survival data analysis, 3rd edition by Lee ET and Wang JW, 2003: New York: John Wiley. Statistical Methods in Medical Research, 10; vol. 14: pp. 535 - 536. DOI: https://doi.org/10.1177/09622802050140051710. M. Bhattacharjee (2005) Review of Survival analysis: techniques for censored and truncated data, 2nd edition, by Klein JP and Moeschberger ML 2003, Springer-Verlag, New York. Statistical Methods in Medical Research, 10; vol. 14: pp. 525 - 527. DOI: https://doi.org/10.1177/096228020501400507. IV. Internal Reports/Others:9. M. Bhattacharjee, N. Rostoks, D.J. Wilkinson, R. Boys and D. Marshall, Integrated Map of the Barley Genome using Bayesian Graphical Model. Part of report on BBSRC funded project ComparaGRID (2006).8. M. Bhattacharjee and M.J. Sillanpää (2009), Bayesian Joint Disease-Marker-Expression Analysis Applied to Clinical Characteristics of Chronic Fatigue Syndrome. Abstracts of papers for CAMDA02 Conference, Nov, Durham, USA. http://camda.duke.edu/camda06/papers/days/thursday/bhattacharjee/paper.doc.7. E. Arjas and M. Bhattacharjee (2005) Modelling and analysis of time inhomogeneous recurrent event processes in heterogeneous population: a case study of HRTs. Internal Research Report for Schering, 27 pp.6. M. Bhattacharjee (2001) Inference for Repairable Systems with application to Exchange Rates, Department of Statistical Methodology, The Institute of Statistical Mathematics, Tokyo, Japan. 5. G.P.Samanta and M.Bhattacharjee (1999), Estimation of Core Inflation Rate from Distribution of Price Changes: Evidence from Indian Trimmed-Mean Wholesale Price Index, report, Reserve Bank of India.4. M. Bhattacharjee (1997) The Importance of Stability of Money Demand in Monetary Targeting, project report, Reserve Bank of India.3. M. Bhattacharjee (1997) (with I. Bhattacharya, S. Chakraborty and D. Majumder) Monetary Management - A Review, jointly, Reserve Bank of India.2. M. Bhattacharjee (1997) Changes in the Composition of Liabilities and Assets in India of all Scheduled Commercial Banks during 1991 to 1996 - An analysis, report, Reserve Bank of India.1. M. Bhattacharjee (1993) Some simulation studies on absolute and relative performances of two life table estimators, Project on survival analysis, Indian Statistical Institute, Calcutta, under supervision of Prof. A. Dewanji.
Recent past workshops/symposium
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Indo-Brazil joint workshop on 8 March 2022
"Following Florence: International Women's Day Celebration by Women Modelers"
@ 3pm – 6:30pm (CET) (7:30-11pm IST)
Registration: https://tinyurl.com/2p8hz53c Flyer:https://tinyurl.com/2e5dtx6c
Program (in IST): https://tinyurl.com/ykt92tj7 Program (in BRT): https://tinyurl.com/yc4ssnnc
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