Dynamic Programming for Discrete-Time Systems with Uncertain Gain. - Gert de Cooman; Matthias C. M. Troffaes (ISIPTA, 2003)

Coherent lower previsions in systems modelling: products and aggregation rules. - Gert de Cooman; Matthias C. M. Troffaes (Reliab. Eng. Syst. Saf., 2004)

n-Monotone Lower Previsions and Lower Integrals. - Gert de Cooman; Matthias C. M. Troffaes; Enrique Miranda 001 (ISIPTA, 2005)

Dynamic programming for deterministic discrete-time systems with uncertain gain. - Gert de Cooman; Matthias C. M. Troffaes (Int. J. Approx. Reason., 2005)

n-Monotone lower previsions. - Gert de Cooman; Matthias C. M. Troffaes; Enrique Miranda 001 (J. Intell. Fuzzy Syst., 2005)

Conditional Lower Previsions for Unbounded Random Quantities. - Matthias C. M. Troffaes (SMPS, 2006)

Generalizing the conjunction rule for aggregating conflicting expert opinions. - Matthias C. M. Troffaes (Int. J. Intell. Syst., 2006)

Decision making under uncertainty using imprecise probabilities. - Matthias C. M. Troffaes (Int. J. Approx. Reason., 2007)

An Efficient Normal Form Solution to Decision Trees with Lower Previsions. - Nathan Huntley; Matthias C. M. Troffaes (SMPS, 2008)

Generalised p-Boxes on Totally Ordered Spaces. - Enrique Miranda 001; Matthias C. M. Troffaes; Sébastien Destercke (SMPS, 2008)

Finite approximations to coherent choice. - Matthias C. M. Troffaes (Int. J. Approx. Reason., 2009)

Applying the imprecise Dirichlet model in cases with partial observations and dependencies in failure data. - Matthias C. M. Troffaes; Frank P. A. Coolen (Int. J. Approx. Reason., 2009)

Sequential Decision Processes under Act-State Independence with Arbitrary Choice Functions. - Matthias C. M. Troffaes; Nathan Huntley; Ricardo Shirota Filho (IPMU (1), 2010)

Imprecise probability in statistical inference and decision making. - Thomas Augustin 001; Frank P. A. Coolen; Serafín Moral; Matthias C. M. Troffaes (Int. J. Approx. Reason., 2010)

Probability boxes on totally preordered spaces for multivariate modelling. - Matthias C. M. Troffaes; Sébastien Destercke (Int. J. Approx. Reason., 2011)

Imprecise Probability. - Frank P. A. Coolen; Matthias C. M. Troffaes; Thomas Augustin 001 (International Encyclopedia of Statistical Science, 2011)

Normal form backward induction for decision trees with coherent lower previsions. - Nathan Huntley; Matthias C. M. Troffaes (Ann. Oper. Res., 2012)

Robust detection of exotic infectious diseases in animal herds: A comparative study of three decision methodologies under severe uncertainty. - Matthias C. M. Troffaes; John Paul Gosling (Int. J. Approx. Reason., 2012)

On the connection between probability boxes and possibility measures. - Matthias C. M. Troffaes; Enrique Miranda 001; Sébastien Destercke (Inf. Sci., 2013)

Multinomial Logistic Regression on Markov Chains for Crop Rotation Modelling. - Lewis Paton; Matthias C. M. Troffaes; Nigel Boatman; Mohamud Hussein; Andy Hart (IPMU (3), 2014)

A Note on Learning Dependence under Severe Uncertainty. - Matthias C. M. Troffaes; Frank P. A. Coolen; Sébastien Destercke (IPMU (3), 2014)

A robust Bayesian approach to modeling epistemic uncertainty in common-cause failure models. - Matthias C. M. Troffaes; Gero Walter; Dana Kelly (Reliab. Eng. Syst. Saf., 2014)

A geometric and game-theoretic study of the conjunction of possibility measures. - Enrique Miranda 001; Matthias C. M. Troffaes; Sébastien Destercke (Inf. Sci., 2015)

Qualitative comparison of techniques for evaluating performance of short term power system reliability management. - Evelyn Heylen; Geert Deconinck; Dirk Van Hertem; Matthias C. M. Troffaes; Behzad Kazemtabrizi (ISGT Europe, 2017)

Efficient Algorithms for Checking Avoiding Sure Loss. - Nawapon Nakharutai; Matthias C. M. Troffaes; Camila C. S. Caiado (ISIPTA, 2017)

A Note on Imprecise Monte Carlo over Credal Sets via Importance Sampling. - Matthias C. M. Troffaes (ISIPTA, 2017)

Imprecise Swing Weighting for Multi-Attribute Utility Elicitation Based on Partial Preferences. - Matthias C. M. Troffaes; Ullrika Sahlin (ISIPTA, 2017)

Improved linear programming methods for checking avoiding sure loss. - Nawapon Nakharutai; Matthias C. M. Troffaes; Camila C. S. Caiado (Int. J. Approx. Reason., 2018)

Imprecise Monte Carlo simulation and iterative importance sampling for the estimation of lower previsions. - Matthias C. M. Troffaes (Int. J. Approx. Reason., 2018)

A Cantelli-Type Inequality for Constructing Non-Parametric P-Boxes Based on Exchangeability. - Matthias C. M. Troffaes; Tathagata Basu (ISIPTA, 2019)

Two-State Imprecise Markov Chains for Statistical Modelling of Two-State Non-Markovian Processes. - Matthias C. M. Troffaes; Thomas E. Krak; Henna Bains (ISIPTA, 2019)

Evaluating betting odds and free coupons using desirability. - Nawapon Nakharutai; Camila C. S. Caiado; Matthias C. M. Troffaes (Int. J. Approx. Reason., 2019)

Improving and benchmarking of algorithms for decision making with lower previsions. - Nawapon Nakharutai; Matthias C. M. Troffaes; Camila C. S. Caiado (Int. J. Approx. Reason., 2019)

Binary Credal Classification Under Sparsity Constraints. - Tathagata Basu; Matthias C. M. Troffaes; Jochen Einbeck (IPMU (2), 2020)

Improving Algorithms for Decision Making with the Hurwicz Criterion. - Nawapon Nakharutai; Matthias C. M. Troffaes (ISIPTA, 2021)

Improving and benchmarking of algorithms for Γ-maximin, Γ-maximax and interval dominance. - Nawapon Nakharutai; Matthias C. M. Troffaes; Camila C. S. Caiado (Int. J. Approx. Reason., 2021)

Decision Making Under Severe Uncertainty on a Budget. - Nawapon Nakharutai; Sébastien Destercke; Matthias C. M. Troffaes (SUM, 2022)

Inclusion of Frequency Nadir constraint in the Unit Commitment Problem of Small Power Systems Using Machine Learning. - Mohammad Rajabdorri; Behzad Kazemtabrizi; Matthias C. M. Troffaes; Lukas Sigrist; Enrique Lobato (CoRR, 2022)

Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis. - Ivette Raices Cruz; Johan Lindström; Matthias C. M. Troffaes; Ullrika Sahlin (Comput. Stat. Data Anal., 2022)

A Robust Bayesian Approach for Causal Inference Problems. - Tathagata Basu; Matthias C. M. Troffaes; Jochen Einbeck (ECSQARU, 2023)

A nonstandard approach to stochastic processes under probability bounding. - Matthias C. M. Troffaes (ISIPTA, 2023)

Data-driven Estimation of Under Frequency Load Shedding after Outages in Small Power Systems. - Mohammad Rajabdorri; Lukas Sigrist; Enrique Lobato; Matthias C. M. Troffaes; Behzad Kazemtabrizi (CoRR, 2023)

Elicitation for Decision Problems Under Severe Uncertainties. - Nawapon Nakharutai; Matthias C. M. Troffaes; Sébastien Destercke (SUM, 2024)

Regret-based budgeted decision rules under severe uncertainty. - Nawapon Nakharutai; Sébastien Destercke; Matthias C. M. Troffaes (Inf. Sci., 2024)

A robust Bayesian model to quantify and adjust for study quality and conflict of interest in meta-analyses. - Matthias C. M. Troffaes; Lorenzo Casini; Jürgen Landes; Ullrika Sahlin (ISIPTA, 2025)

Data-driven estimation of the amount of under frequency load shedding in small power systems. - Mohammad Rajabdorri; Matthias C. M. Troffaes; Behzad Kazemtabrizi; Miad Sarvarizadeh; Lukas Sigrist; Enrique Lobato (Eng. Appl. Artif. Intell., 2025)

Robust Bayesian causal estimation for causal inference in medical diagnosis. - Tathagata Basu; Matthias C. M. Troffaes (Int. J. Approx. Reason., 2025)