Search for dissertations about: "variable elimination algorithm"

Showing result 1 - 5 of 6 swedish dissertations containing the words variable elimination algorithm.

  2. 1. Bayesian networks: exact inference and applications in forensic statistics

    Author : Ivar Simonsson; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Bayesian networks; variable elimination algorithm; forensic statistics; relationship inference; mutation models; relationship inference;

    Abstract : Exact inference on Bayesian networks has been developed through sophisticated algorithms. One of which, the variable elimination algorithm, identifies smaller components of the network, called factors, on which local operations are performed. In principle this algorithm can be used on any Bayesian network. READ MORE

  4. 2. Exact inference in Bayesian networks and applications in forensic statistics

    Author : Ivar Simonsson; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; forensic statistics; familial relationship inference; Bayesian networks; variable elimination; exact inference; mutation models;

    Abstract : Bayesian networks (BNs) are commonly used when describing and analyzing relationships between interacting variables. Approximate methods for performing calculations on BNs are widely used and well developed. READ MORE

  5. 3. Methods for improving covariate balance in observational studies

    Author : Philip Fowler; Xavier de Luna; Ingeborg Waernbaum; Martin Huber; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; causal effect; coarsening; discretisation; proxy variables; register study; swedish social insurance agency; unobserved variables;

    Abstract : This thesis contributes to the field of causal inference, where the main interest is to estimate the effect of a treatment on some outcome. At its core, causal inference is an exercise in controlling for imbalance (differences) in covariate distributions between the treated and the controls, as such imbalances otherwise can bias estimates of causal effects. READ MORE

  6. 4. On two methods for identifying dynamic errors-in-variables systems

    Author : Mei Hong; Torsten Söderström; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

    Abstract : Identification of dynamic errors-in-variables systems, where both inputs and outputs are affected by errors (measurement noises), is a fundamental problem of great interest in many areas, such as process control, econometrics, astronomical data reduction, image processing, etc. This field has received increased attention within several decades. READ MORE

  7. 5. Design and Analysis of Diagnosis Systems Using Structural Methods

    Author : Mattias Krysander; Mattias Nyberg; Jan Lunze; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; diagnosis; graph theory; structual methods; algorithms; fault isolation; complete; sound; Systems engineering; Systemteknik;

    Abstract : In complex and automated technological processes the effects of a fault can quickly propagate and lead to degradation of process performance or even worse to a catastrophic failure. This means that faults have to be found as quickly as possible and decisions have to be made to stop the propagation of their effects and to minimize process performance degradation. READ MORE