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Maximum feasibility estimation
- Source :
- Information Sciences. 575:793-801
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- In a previous paper citepkim2019revealing, an analytical framework based on the constraint satisfaction problems was proposed to reveal the characteristics of households using event logs from smart door lock systems. This work provides a more rigorous justification for the previous approach. This paper proposes a novel parameter estimation method called the maximum feasibility estimation (MFE). The MFE does not rely on any assumption about the parametric family of probability densities from which a random observation is drawn. Instead, we assume that constraints are imposed on observations and that some of the constraints are a function of a parameter of interest. The proposed estimator maximizes the feasible region, a set of all possible observations that satisfy those constraints. The method proposed is validated using synthetic data as well as real streaming event log data.
- Subjects :
- Mathematical optimization
Information Systems and Management
Record locking
Estimation theory
Computer science
Feasible region
Estimator
Synthetic data
Computer Science Applications
Theoretical Computer Science
Artificial Intelligence
Control and Systems Engineering
Parametric family
Software
Constraint satisfaction problem
Event (probability theory)
Subjects
Details
- ISSN :
- 00200255
- Volume :
- 575
- Database :
- OpenAIRE
- Journal :
- Information Sciences
- Accession number :
- edsair.doi...........e0b68d524c8150a8c8348d089b35e7cc