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Subhadeep (DEEP) Mukhopadhyay
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Subhadeep (DEEP) Mukhopadhyay's Discussions

What is the role of Statistics in the development of Theoretical Data Science?

Started this discussion. Last reply by Subhadeep (DEEP) Mukhopadhyay Mar 2. 2 Replies

I have been recently asked (by a theoretical computer scientist): “What is the role of Statistics in the development of Theoretical Data Science?”I think this is a fundamental question. If you have…Continue

Tags: Statistical-science, Computer-science, Data-Science

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Tim Matteson liked Subhadeep (DEEP) Mukhopadhyay's discussion What is the role of Statistics in the development of Theoretical Data Science?
Mar 6
Subhadeep (DEEP) Mukhopadhyay replied to Subhadeep (DEEP) Mukhopadhyay's discussion What is the role of Statistics in the development of Theoretical Data Science?
"Vincent, Thanks for bringing this to my attention. Best Deep"
Mar 2
Vincent Granville replied to Subhadeep (DEEP) Mukhopadhyay's discussion What is the role of Statistics in the development of Theoretical Data Science?
"This may not fully answer your question, but I have written quite a bit recently, about the role of data science in theoretical statistics, mostly in the context of dynamical systems, stochastic processes, and probabilistic number theory. You can…"
Mar 1
Subhadeep (DEEP) Mukhopadhyay's 2 discussions were featured
Feb 28
Subhadeep (DEEP) Mukhopadhyay posted a discussion

What is the role of Statistics in the development of Theoretical Data Science?

I have been recently asked (by a theoretical computer scientist): “What is the role of Statistics in the development of Theoretical Data Science?”I think this is a fundamental question. If you have any opinion on this please feel free to share with us. Here's my 2 cents:Theory of [Efficient] Computing: A branch of Theoretical Computer Science that deals with how quickly one can solve (compute) a given algorithm.  The critical task is to analyze algorithms carefully based on their performance…See More
Feb 28
ANISH XAVIER liked Subhadeep (DEEP) Mukhopadhyay's blog post Double-Yolk "Bayesian Egg": Bayes, Frequentist and a 250 years-old puzzle
Feb 28
Subhadeep (DEEP) Mukhopadhyay posted a blog post

Double-Yolk "Bayesian Egg": Bayes, Frequentist and a 250 years-old puzzle

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 of both worlds?Twin Goals. To…See More
Feb 21
Subhadeep (DEEP) Mukhopadhyay's blog post was featured

Double-Yolk "Bayesian Egg": Bayes, Frequentist and a 250 years-old puzzle

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 of both worlds?Twin Goals. To…See More
Feb 21
Subhadeep (DEEP) Mukhopadhyay updated their profile
Feb 20

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.
My Web Site Or LinkedIn Profile
http://https://sites.temple.edu/deepstat/
Professional Status
Professor
Years of Experience:
5
Your Company:
Fox School of Business, Temple University
Your Job Title:
Assistant Professor
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

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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