Portfolio item number 1
Short description of portfolio item number 1
Download here
Short description of portfolio item number 1
Download here
Short description of portfolio item number 2
Download here
05, 2016
This paper presents an efficient and doubly robust estimator of the total population size from incomplete lists. It uses tools like nonparametric statistics and efficiency theory. It also estimates the total number of war casualties in the Peru Internal Armed Conflict 1980-2000.
Manjari Das, Ritwika Law, Diganta Mukherjee (2016). Edge Evolution Analysis using Social Network.
04, 2018
We analyze the statistics of galaxy data from the Illustris Project at different time points, and we use these results to build models that predict the past mass rank of a galaxy given its current mass rank, morphology, and physical properties such as star-formation rate.
Published in arXiv.org, 07, 2021
This paper presents an efficient and doubly robust estimator of the total population size from incomplete lists. It uses tools like nonparametric statistics and efficiency theory. It also estimates the total number of war casualties in the Peru Internal Armed Conflict 1980-2000.
Das M, Kennedy EH, Jewell NP (2021). Doubly Robust Capture-recapture Methods for Estimating Population Size." arXiv preprint arXiv:2104.14091. https://arxiv.org/pdf/2104.14091
Published in arXiv.org, 11, 2021
This paper presents a new R package to estimate the total population size from incomplete lists. It discusses implementation, performance and comparison to some of the existing packages.
Das M, Kennedy EH (2021). drpop: Efficient and Doubly Robust Population Size Estimation in R" arXiv preprint:2111.07191 https://arxiv.org/abs/2111.07191
This paper presents an efficient and doubly robust estimator of the total population size from incomplete lists. It uses tools like nonparametric statistics and efficiency theory. It also estimates the total number of war casualties in the Peru Internal Armed Conflict 1980-2000.
Das M and Kennedy EH. Total population size estimation under partial identification using sensitivity analysis.
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Download here
Published:
Download here
Published:
Download here
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Download here
Workshop, Carnegie Mellon University, Dietrich College of Humanities and Social Sciences, 2021
This was part of my Dietrich Teaching Fellowship. I got the opportunity to teach and hold workshops for two weeks on basic statistical topics. The first topic was variable transformation for which I designed the lecture notes and created some shiny applications (available in the shiny_apps repository on my Github account) for interactive learning. The second topic was Bootstrap and some practical applications.
Download here
Undergraduate summer six-week course, Carnegie Mellon University, Department of Statistics and Data Science, 2021
This is a six week long course offered in summers. The topics include basic ideas of statistics, random variables, estimation, hypothesis tests and confidence intervals. I was involved in partially designing the lecture notes and assignments. I held lectures Monday to Friday every week and also conducted flexible doubt clearing sessions. Apart from this, I also worked with a team of six teaching assistants and handled the logistics. I am grateful to Professor Peter Freeman and my fellow student Matteo Bonvini for sharing their resources and for the very helpful guidance.
Download here