Matthias C. M. Troffaes

Matthias C. M. Troffaes

Durham University

H-index: 20

Europe-United Kingdom

About Matthias C. M. Troffaes

Matthias C. M. Troffaes, With an exceptional h-index of 20 and a recent h-index of 14 (since 2020), a distinguished researcher at Durham University, specializes in the field of uncertainty quantification, decision making, statistics, applications, imprecise probability.

His recent articles reflect a diverse array of research interests and contributions to the field:

Data-driven Infrastructure Planning for Offshore Wind Farms

Regret-based budgeted decision rules under severe uncertainty

A Robust Bayesian Approach for Causal Inference Problems

Using probability bounding to improve decision making for offshore wind planning in industry

A constructive theory for conditional lower previsions only using rational valued probability mass functions with finite support

A nonstandard approach to stochastic processes under probability bounding

Data-driven Estimation of Under Frequency Load Shedding after Outages in Small Power Systems

Robust Bayesian analysis of causal inference problems

Matthias C. M. Troffaes Information

University

Position

Professor UK

Citations(all)

2226

Citations(since 2020)

1117

Cited By

1575

hIndex(all)

20

hIndex(since 2020)

14

i10Index(all)

41

i10Index(since 2020)

19

Email

University Profile Page

Durham University

Google Scholar

View Google Scholar Profile

Matthias C. M. Troffaes Skills & Research Interests

uncertainty quantification

decision making

statistics

applications

imprecise probability

Top articles of Matthias C. M. Troffaes

Title

Journal

Author(s)

Publication Date

Data-driven Infrastructure Planning for Offshore Wind Farms

Isha Saxena

Behzad Kazemtabrizi

Matthias Troffaes

Christopher Crabtree

2024/3/1

Regret-based budgeted decision rules under severe uncertainty

Information Sciences

Nawapon Nakharutai

Sébastien Destercke

Matthias CM Troffaes

2024/2/27

A Robust Bayesian Approach for Causal Inference Problems

Tathagata Basu

Matthias CM Troffaes

Jochen Einbeck

2023/9/19

Using probability bounding to improve decision making for offshore wind planning in industry

Matthias Troffaes

Behzad Kazemtabrizi

Andrew Smallbone

Henna Bains

Andrew Jenkins

...

2023/7/11

A constructive theory for conditional lower previsions only using rational valued probability mass functions with finite support

Matthias Troffaes

2023/7/11

A nonstandard approach to stochastic processes under probability bounding

Matthias CM Troffaes

2023/7/10

Data-driven Estimation of Under Frequency Load Shedding after Outages in Small Power Systems

arXiv preprint arXiv:2312.11389

Mohammad Rajabdorri

Lukas Sigrist

Enrique Lobato

Matthias Troffaes

Behzad Kazemtabrizi

2023/12/18

Robust Bayesian analysis of causal inference problems

Tathagata Basu

Matthias CM Troffaes

Jochen Einbeck

2023

Inclusion of frequency nadir constraint in the unit commitment problem of small power systems using machine learning

Sustainable Energy, Grids and Networks

Mohammad Rajabdorri

Behzad Kazemtabrizi

Matthias Troffaes

Lukas Sigrist

Enrique Lobato

2023/12/1

A robust Bayesian bias‐adjusted random effects model for consideration of uncertainty about bias terms in evidence synthesis

Statistics in Medicine

Ivette Raices Cruz

Matthias CM Troffaes

Johan Lindström

Ullrika Sahlin

2022/7/30

Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis

Computational Statistics & Data Analysis

Ivette Raices Cruz

Johan Lindström

Matthias CM Troffaes

Ullrika Sahlin

2022/12/1

A robust Bayesian analysis of variable selection under prior ignorance

Sankhya A

Tathagata Basu

Matthias Troffaes

Jochen Einbeck

2022/6/16

A suggestion for the quantification of precise and bounded probability to quantify epistemic uncertainty in scientific assessments

Risk Analysis

Ivette Raices Cruz

Matthias Troffaes

Ullrika Sahlin

2022/2

Inclusion of frequency stability constraints in unit commitment using separable programming

Electric Power Systems Research

CJ Ferrandon-Cervantes

Behzad Kazemtabrizi

Matthias CM Troffaes

2022/2/1

Decision making under severe uncertainty on a budget

Nawapon Nakharutai

Sébastien Destercke

Matthias CM Troffaes

2022/10/10

Foundations for temporal reasoning using lower previsions without a possibility space

Theory and Decision Library A: Rational Choice in Practical Philosophy and Philosophy of Science

Matthias CM Troffaes

Michael Goldstein

2021

Improving Algorithms for Decision Making with the Hurwicz Criterion

Nawapon Nakharutai

Matthias CM Troffaes

2021/7

Improving and benchmarking of algorithms for Γ-maximin, Γ-maximax and interval dominance

International Journal of Approximate Reasoning

Nawapon Nakharutai

Matthias CM Troffaes

Camila CS Caiado

2021/6/1

Modelling of modular battery systems under cell capacity variation and degradation

Applied Energy

Daniel J Rogers

Louis JM Aslett

Matthias CM Troffaes

2021/2/1

Uncertainty quantification in lasso-type regularization problems

Tathagata Basu

Jochen Einbeck

Matthias Troffaes

2021

See List of Professors in Matthias C. M. Troffaes University(Durham University)

Co-Authors

H-index: 45
Serafín Moral

Serafín Moral

Universidad de Granada

H-index: 36
Gert de Cooman

Gert de Cooman

Universiteit Gent

H-index: 29
Enrique Miranda (Orcid: 0000-0001-7763-3779)

Enrique Miranda (Orcid: 0000-0001-7763-3779)

Universidad de Oviedo

H-index: 27
Sébastien Destercke

Sébastien Destercke

Université de Technologie de Compiègne

H-index: 27
Thomas Augustin

Thomas Augustin

Ludwig-Maximilians-Universität München

H-index: 26
Grant Ingram

Grant Ingram

Durham University

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