activity
20192023
most citedOn automatic calibration of the SIRD epidemiological model for COVID-19 data in Poland

1 citations · 1 across the 2 of their papers we have counts for

collaborators

7 papers

math.NA2023

On approximation of solutions of stochastic delay differential equations via randomized Euler scheme

Paweł Przybyłowicz, Yue Wu, Xinheng Xie

We investigate existence, uniqueness and approximation of solutions to stochastic delay differential equations (SDDEs) under Carathéodory-type drift coefficients. Moreover, we also…

stat.ME20221 cited

On automatic calibration of the SIRD epidemiological model for COVID-19 data in Poland

Piotr Błaszczyk, Konrad Klimczak, Adam Mahdi +4

We propose a novel methodology for estimating the epidemiological parameters of a modified SIRD model (acronym of Susceptible, Infected, Recovered and Deceased individuals) and per…

math.NA2021

On the randomized Euler schemes for ODEs under inexact information

Tomasz Bochacik, Paweł Przybyłowicz

We analyse errors of randomized explicit and implicit Euler schemes for approximate solving of ordinary differential equations (ODEs). We consider classes of ODEs for which the rig…

math.PR2020

Existence and uniqueness of solutions of SDEs with discontinuous drift and finite activity jumps

Paweł Przybyłowicz, Michaela Szölgyenyi, Fanhui Xu

In this letter we prove existence and uniqueness of strong solutions to multi-dimensional SDEs with discontinuous drift and finite activity jumps.

math.NA2020

Randomized Runge-Kutta method -- stability and convergence under inexact information

Tomasz Bochacik, Maciej Goćwin, Paweł M. Morkisz +1

We deal with optimal approximation of solutions of ODEs under local Lipschitz condition and inexact discrete information about the right-hand side functions. We show that the rando…

math.NA2019

Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information

Paweł M. Morkisz, Paweł Przybyłowicz

We deal with pointwise approximation of solutions of scalar stochastic differential equations in the presence of informational noise about underlying drift and diffusion coefficien…