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20182021
most citedOptimal Dividends under Model Uncertainty

1 citations · 1 across the 1 of their papers we have counts for

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5 papers

math.OC20211 cited

Optimal Dividends under Model Uncertainty

Prakash Chakraborty, Asaf Cohen, Virginia R. Young

We consider a diffusive model for optimally distributing dividends, while allowing for Knightian model ambiguity concerning the drift of the surplus process. We show that the value…

math.PR2019

A Many-Server Functional Strong Law For A Non-Stationary Loss Model

Prakash Chakraborty, Harsha Honnappa

The purpose of this note is to show that it is possible to establish a many-server functional strong law of large numbers (FSLLN) for the fraction of occupied servers (i.e., the sc…

cond-mat.mes-hall2019

Relativistic stable processes in quasi-ballistic heat conduction in thin film semiconductors

Prakash Chakraborty, Bjorn Vermeersch, Ali Shakouri +1

In this article, we show how relativistic alpha stable processes can be used to explain quasi-ballistic heat conduction in semiconductors. This is a method that can fit experimenta…

math.PR2019

Strong Embeddings for Transitory Queueing Models

Prakash Chakraborty, Harsha Honnappa

In this paper we establish strong embedding theorems, in the sense of the Komlos-Major-Tusnady framework, for the performance metrics of a general class of transitory queueing mode…

math.PR2018

Quenched asymptotics for a 1-d stochastic heat equation driven by a rough spatial noise

Prakash Chakraborty, Xia Chen, Bo Gao +1

In this note we consider the parabolic Anderson model in one dimension with time-independent fractional noise in space. We consider the case and get exist…