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Connecticut Department of Energy and Environmental Protection

United States

4 papers here11 citations across 4
fields
  • math.ST2
  • econ.EM1
  • stat.ML1
ROR 02hv6yw42OpenAlex

affiliations via OpenAlex

output
20122022
most citedModeling, dependence, classification, united statistical science, many cultures

10 citations

researchers with a paper here
  • S. Mukhopadhyay3 profiles3 · h 17
  • Kaijun Wang2 profiles2 · h 4
  • Emanuel Parzen1
  • Subhadeep Mukhopadhyay1

4 papers

econ.EM2022

Modelplasticity and Abductive Decision Making

Subhadeep, Mukhopadhyay

`All models are wrong but some are useful' (George Box 1979). But, how to find those useful ones starting from an imperfect model? How to make informed data-driven decisions equipp…

math.ST2021

A Maximum Entropy Copula Model for Mixed Data: Representation, Estimation, and Applications

Subhadeep, Mukhopadhyay

A new nonparametric model of maximum-entropy (MaxEnt) copula density function is proposed, which offers the following advantages: (i) it is valid for mixed random vector. By `mixed…

stat.ML2020★ 1 cited

Breiman's "Two Cultures" Revisited and Reconciled

Subhadeep, Mukhopadhyay, Kaijun Wang

In a landmark paper published in 2001, Leo Breiman described the tense standoff between two cultures of data modeling: parametric statistical and algorithmic machine learning. The…

math.ST2012★ 10 cited

Modeling, dependence, classification, united statistical science, many cultures

Emanuel Parzen, Subhadeep Mukhopadhyay

Breiman (2001) proposed to statisticians awareness of two cultures: 1. Parametric modeling culture, pioneered by R.A.Fisher and Jerzy Neyman; 2. Algorithmic predictive culture, pio…

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