Michael Grabchak

Orcid: 0000-0003-2547-0167

According to our database1, Michael Grabchak authored at least 18 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Representation and simulation of multivariate Dickman distributions and Vervaat perpetuities.
Stat. Comput., February, 2024

2023
Efficient simulation of p-tempered α-stable OU processes.
Stat. Comput., 2023

Experience Report on Using WeBWorK in Teaching Discrete Mathematics.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

2021
On the transition laws of p-tempered α-stable OU-processes.
Comput. Stat., 2021

2020
On the occupancy problem for a regime-switching model.
J. Appl. Probab., 2020

2019
Rejection sampling for tempered Lévy processes.
Stat. Comput., 2019

Interactive Preparatory Work in a Flipped Programming Course.
Proceedings of the ACM Conference on Global Computing Education, 2019

2018
Authorship Attribution Using Diversity Profiles.
J. Quant. Linguistics, 2018

Domains of attraction for positive and discrete tempered stable distributions.
J. Appl. Probab., 2018

Normal Laws for Two Entropy Estimators on Infinite Alphabets.
Entropy, 2018

2017
Asymptotic properties of Turing's formula in relative error.
Mach. Learn., 2017

On the performance of Turing's formula: A simulation study.
Commun. Stat. Simul. Comput., 2017

2014
Nonparametric Estimation of Küllback-Leibler Divergence.
Neural Comput., 2014

Smoothly truncated levy walks: Toward a realistic mobility model.
Proceedings of the IEEE 33rd International Performance Computing and Communications Conference, 2014

2013
Authorship Attribution Using Entropy.
J. Quant. Linguistics, 2013

Bias Adjustment for a Nonparametric Entropy Estimator.
Entropy, 2013

2012
On a new Class of Tempered Stable Distributions: Moments and Regular Variation.
J. Appl. Probab., 2012

2011
Adaptive policies for selecting groupon style chunked reward ads in a stochastic knapsack framework.
Proceedings of the 20th International Conference on World Wide Web, 2011


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