papers

Publications (6)

math.PR2026

Elephant random walk with attributed steps and extractions of random sizes

Sooraj M, Moumanti Podder, Archi Roy

We study a model of market economics wherein the -st customer, for each , with being a prespecified positive integer, draws a sample of (random) size $K_{n…

stat.ME2026

A nonparametric approach to understand multivariate quantile dynamics in financial time series

Kunal Rai, Archi Roy, Itai Dattner +1

Over the last decade, nonparametric methods have gained increasing attention for modeling complex data structures due to their flexibility and minimal structural assumptions. In th…

stat.ML2026

ANGLE: Angular Neural Generative Learning via Engression

Rajdeep Pathak, Archi Roy, Tanujit Chakraborty

The paper introduces ANGLE, a lightweight deep generative model that learns the full conditional distribution of circular (angular) data given various covariates, enabling better p…

#circular statistics#generative modeling#distributional regression#uncertainty quantification
math.PR2026

Elephant random walks with multiple extractions and general reinforcement functions

Moumanti Podder, Archi Roy

We consider a generalized model of elephant random walks wherein the walker, during the -st time-stamp, draws from the past (i.e. the set ) a sample of

stat.ME2024

Nonparametric method of structural break detection in stochastic time series regression model

Archi Roy, Moumanti Podder, Soudeep Deb

We propose a novel nonparametric test to detect structural breaks in the conditional mean and/or variance of a time series. Our method does not assume any specific parametric form…

math.PR2026

A model of opinion dynamics evolving via a preferential attachment mechanism involving multiple extractions

Sooraj M Moumanti Podder, Archi Roy

We study a model of opinion dynamics / social learning / peer-review-based market economics on an evolving network, wherein i) each of the first agents adopts one of two availa…