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Subhadeep (DEEP) Mukhopadhyay's Page
Profile Information
- Short Bio:
- Dr, Mukhopadhyay is currently an Assistant Professor in the Statistical Science department of Fox Business School at Temple University. He is also an affiliate faculty at the Center for High-Dimensional Statistics and The Data Science Institute. He received my Ph.D. from Texas A&M University under Prof. Emanuel Parzen. He has published in numerous scholarly articles in leading peer-reviewed journals like Annals of Statistics, Journal of the American Statistical Association, Biometrics, Computational Statistics & Data Analysis and Electronic Journal of Statistic. Dr. Mukhopadhya's major research focus has been to develop modern notations and a new general theory of nonparametric statistical modeling that provide the required foundation for constructing “United Statistical Algorithms,” applicable for both small and big data with different data types and increasingly complex structures: univariate, multivariate, time series, spatial, image and graph data — Nonparametric Data Science.
- Company:
- Fox School of Business, Temple University
- Job Title:
- Assistant Professor
- Seniority:
- Professor
- LinkedIn Profile:
- http://https://sites.temple.edu/deepstat/
- Interests:
- Networking, Other
Subhadeep (DEEP) Mukhopadhyay's Blog
Double-Yolk "Bayesian Egg": Bayes, Frequentist and a 250 years-old puzzle
Posted on February 20, 2018 at 3:30pm 0 Comments 1 Like
The Backdrop. Bayesians and Frequentists have long been ambivalent toward each other. The concept of “Prior” remains the center of this 250 years old tug-of-war: frequentists view prior as a weakness that can cloud the final inference, whereas Bayesians view it as a strength to incorporate expert knowledge into the data analysis. So, the question naturally arises, how can we develop a Bayes-frequentist consolidated data analysis workflow that enjoys the best…
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