10 citations
4 papers
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…
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…
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…
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…