activity
20092025
most citedRandom recurrence equations and ruin in a Markov-dependent stochastic economic environment

46 citations · 65 across the 6 of their papers we have counts for

collaborators

6 papers

math.PR2025

Sharp Large Deviations and Gibbs Conditioning for Threshold Models in Portfolio Credit Risk

Fengnan Deng, Anand N. Vidyashankar, Jeffrey F. Collamore

We obtain sharp large deviation estimates for exceedance probabilities in dependent triangular array threshold models with a diverging number of latent factors. The prefactors quan…

math.PR2016

Large excursions and conditioned laws for recursive sequences generated by random matrices

Jeffrey F. Collamore, Sebastian Mentemeier

We determine the large exceedance probabilities and large exceedance paths for the matrix recursive sequence where is an i.i.d…

math.PR2014

Large deviation estimates for exceedance times of perpetuity sequences and their dual processes

Dariusz Buraczewski, Jeffrey F. Collamore, Ewa Damek +1

In a variety of problems in pure and applied probability, it is of relevant to study the large exceedance probabilities of the perpetuity sequence $Y_n := B_1 + A_1 B_2 + \cdots +…

math.PR2011★ 19 cited

Rare event simulation for processes generated via stochastic fixed point equations

Jeffrey F. Collamore, Guoqing Diao, Anand N. Vidyashankar

In a number of applications, particularly in financial and actuarial mathematics, it is of interest to characterize the tail distribution of a random variable satisfying the di…

math.PR2011

Tail estimates for stochastic fixed point equations via nonlinear renewal theory

Jeffrey F. Collamore, Anand N. Vidyashankar

This paper presents precise large deviation estimates for solutions to stochastic fixed point equations of the type V =_d f(V), where f(v) = Av + g(v) for a random function g(v) =…

math.PR2009★ 46 cited

Random recurrence equations and ruin in a Markov-dependent stochastic economic environment

Jeffrey F. Collamore

We develop sharp large deviation asymptotics for the probability of ruin in a Markov-dependent stochastic economic environment and study the extremes for some related Markovian pro…