activity
19982024
most citedKernel density estimation via diffusion

1.7k citations · 1.9k across the 17 of their papers we have counts for

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7 papers · 1 filter

stat.CO2018★ 3 cited

Reliability Estimation for Networks with Minimal Flow Demand and Random Link Capacities

Zdravko I. Botev, Pierre L'Ecuyer, Bruno Tuffin

We consider a network whose links have random capacities and in which a certain target amount of flow must be carried from some source nodes to some destination nodes. Each destina…

stat.CO2017

On the Sum of Order Statistics and Applications to Wireless Communication Systems Performances

Nadhir Ben Rached, Zdravko Botev, Abla Kammoun +2

We consider the problem of evaluating the cumulative distribution function (CDF) of the sum of order statistics, which serves to compute outage probability (OP) values at the outpu…

stat.CO2017★ 3 cited

Accurate Computation of the Distribution of Sums of Dependent Log-Normals with Applications to the Black-Scholes Model

Zdravko Botev, Robert Salomone, Daniel MacKinlay

We present a new Monte Carlo methodology for the accurate estimation of the distribution of the sum of dependent log-normal random variables. The methodology delivers statistically…

stat.CO2016★ 185 cited

The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting

Z. I. Botev

Simulation from the truncated multivariate normal distribution in high dimensions is a recurrent problem in statistical computing, and is typically only feasible using approximate…

stat.CO2015★ 1 cited

The Dynamic Splitting Method with an application to portfolio credit risk

Kevin Lam, Zdravko Botev

We consider the problem of accurately measuring the credit risk of a portfolio consisting of loss exposures such as loans, bonds and other financial assets. We are particularly int…

stat.CO2013

Semiparametric Cross Entropy for rare-event simulation

Z. I. Botev, A. Ridder, L. Rojas-Nandayapa

The Cross Entropy method is a well-known adaptive importance sampling method for rare-event probability estimation, which requires estimating an optimal importance sampling density…