Asger Hobolth

Professor

Aarhus University

Denmark

Research Interests

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About

Asger Hobolth is a Professor at Aarhus University in Denmark. His research focuses on mathematical population genetics, specifically in areas such as coalescent processes, mutational signatures, and model selection. Recent articles authored by Professor Hobolth include works on matrix-analytical sampling formulas and flexible non-negative matrix factorization applications. He actively contributes to the development of statistical methodologies in genetics through publications and software packages.

Articles (14)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

Associate Professor

Aarhus University

DENMARK

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Mikkel Heide Schierup

Professor

Aarhus University

DENMARK

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Asger Hobolth

Research Interests

Contact this professor

About

Articles (14)

Estimating Gene Conversion Tract Length and Rate From PacBio HiFi Data

A matrix-analytical sampling formula for time-homogeneous coalescent processes under the infinite sites mutation model

On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction

Phase-type distributions in mathematical population genetics

Maximum likelihood estimation and natural pairwise estimating equations are identical for three sequences and a symmetric 2-state substitution model

Trails

Flexible model-based non-negative matrix factorization with application to mutational signatures

PhaseTypeR: an R package for phase-type distributions in population genetics

Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization

Graph-based algorithms for phase-type distributions

A Sampling Algorithm to Compute the Set of Feasible Solutions for NonNegative Matrix Factorization with an Arbitrary Rank

Multivariate phase-type theory for the site frequency spectrum

Studying models of balancing selection using phase-type theory

A Unifying Framework and Comparison of Algorithms for Non‐negative Matrix Factorisation

Collaborators (8)

Mogens Bladt

Lars Nørvang Andersen

Kasper Munch

Jens Ledet Jensen

Thomas Bataillon

Marta Pelizzola

Søren Besenbacher

Mikkel Heide Schierup

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