Concept
Estimation theory
Related publications (951)
On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells
Mario Paolone, Vladimir Sovljanski
Electrochemical Impedance Spectroscopy (EIS) and Equivalent Circuit Models (ECMs) are widely used to characterize the impedance and estimate parameters of electrochemical systems such as batteries. We use a generic ECM with ten parameters grouped to model ...
2024Optimal regimes for algorithm-assisted human decision-making
Mats Julius Stensrud, Aaron Leor Sarvet
We consider optimal regimes for algorithm-assisted human decision-making. Such regimes are decision functions of measured pre-treatment variables and, by leveraging natural treatment values, enjoy a superoptimality property whereby they are guaranteed to o ...
2024Optimal Depth of Discharge for Electric Batteries with Robust Capacity-Shrinkage Estimator
A user’s benefit from the energy stored in a battery over its lifetime depends on the time-varying characteristics of the battery, which are in turn affected by the chosen usage behavior. Both the capacity shrinkage and the number of lifetime cycles are st ...
2024Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks
In inverse problems, the task is to reconstruct an unknown signal from its possibly noise-corrupted measurements. Penalized-likelihood-based estimation and Bayesian estimation are two powerful statistical paradigms for the resolution of such problems. They ...
EPFL2024OASIS: An integrated optimisation framework for activity scheduling
Activity-based models offer the potential for a far deeper understanding of daily mobility behaviour than trip-based models. Based on the fundamental assumption that travel demand is derived from the need to do activities, they are flexible tools that aim ...
EPFL2024Toward Reliable Human Pose Forecasting With Uncertainty
Alexandre Massoud Alahi, Saeed Saadatnejad, Taylor Ferdinand Mordan, Parham Saremi
Recently, there has been an arms race of pose forecasting methods aimed at solving the spatio-temporal task of predicting a sequence of future 3D poses of a person given a sequence of past observed ones. However, the lack of unified benchmarks and limited ...
2024Enabling Uncertainty Estimation in Iterative Neural Networks
Pascal Fua, Nikita Durasov, Doruk Oner, Minh Hieu Lê
Turning pass-through network architectures into iterative ones, which use their own output as input, is a well-known approach for boosting performance. In this paper, we argue that such architectures offer an additional benefit: The convergence rate of the ...
2024OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions
Michel Bierlaire, Timothy Michael Hillel, Janody Pougala
Activity-based models offer the potential of a far deeper understanding of daily mobility behaviour than trip-based models. However, activity-based models used both in research and practice have often relied on applying sequential choice models between sub ...
2023A Shape Derivative Approach to Domain Simplification
Annalisa Buffa, Jochen Peter Hinz, Ondine Gabrielle Chanon, Alessandra Arrigoni
The objective of this study is to address the difficulty of simplifying the geometric model in which a differential problem is formulated, also called defeaturing, while simultaneously ensuring that the accuracy of the solution is maintained under control. ...
Oxford2023Unbiased likelihood-based estimation of Wright-Fisher diffusion processes
In this paper we propose an unbiased Monte Carlo maximum likelihood estimator for discretely observed Wright-Fisher diffusions. Our approach is based on exact simulation techniques that are of special interest for diffusion processes defined on a bounded d ...
MCQMC2023