Search for dissertations about: "Bayesian Optimization"

Showing result 1 - 5 of 54 swedish dissertations containing the words Bayesian Optimization.

  1. 1. Toward Robust Optimization of Adaptive Radiation Therapy

    Author : Michelle Böck; Anders Forsgren; Minsun Kim; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; optimization; adaptive radiation therapy; radiation therapy treatment planning; uncertainty; robust optimization; stochastic programming; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

    Abstract : Adaptive radiation therapy is an evolving cancer treatment approach which relies on adapting the treatment plan in response to patient-specific interfractional geometric variations occurring during the fractionated treatment. If those variations are not addressed through adaptive replanning, the resulting treatment quality may be compromised. READ MORE

  2. 2. On Optimization-Based Falsification of Cyber-Physical Systems

    Author : Zahra Ramezani; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Bayesian Optimization; Model-Based Testing; Optimization-Based Falsification; Cyber-Physical Systems; Quantitative Semantics; Input Generators;

    Abstract : In what is commonly referred to as cyber-physical systems (CPSs), computational and physical resources are closely interconnected. An example is the closed-loop behavior of perception, planning, and control algorithms, executing on a computer and interacting with a physical environment. READ MORE

  3. 3. Some Contributions to Heteroscedastic Time Series Analysis and Computational Aspects of Bayesian VARs

    Author : Oskar Gustafsson; Pär Stockhammar; Domenico Giannone; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Time series; heteroscedasticity; variance stabilizing filters; Bayesian vector autoregressions; Bayesian optimization; variational inference; Statistics; statistik;

    Abstract : Time-dependent volatility clustering (or heteroscedasticity) in macroeconomic and financial time series has been analyzed for more than half a century. The inefficiencies it causes in various inference procedures are well known and understood. Despite this, heteroscedasticity is surprisingly often neglected in practical work. READ MORE

  4. 4. Applications of Bayesian Econometrics to Financial Economics

    Author : Christoffer Bengtsson; Nationalekonomiska institutionen; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; economic systems; economic theory; econometrics; Economics; systemic risk; stochastic volatility; jump-diffusion; shrinkage; covariance matrix estimation; estimation risk; portfolio selection; mean-variance optimization; Markov chain Monte Carlo; Bayesian econometrics; ekonomisk politik; ekonomiska system; ekonomisk teori; ekonometri; Nationalekonomi; economic policy;

    Abstract : This PhD thesis consists of four separate papers. What these papers have in common is that Bayesian Econometrics, in combination with Markov chain Monte Carlo (MCMC) methods, is applied to study various problems in financial economics. READ MORE

  5. 5. Bayesian Modeling of Directional Data with Acoustic and Other Applications

    Author : Jalil Taghia; Arne Leijon; W. Bastiaan Kleijn; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Directional statistics; directional distributions; axial distributions; von Mises-Fisher distribution; complex Watson distribution; complex Bingham distribution; Bayesian inference; probabilistic modeling; variational inference; two-dimensional hidden Markov models; Markov chain; blind source separation; frequency domain BSS; underdetermined BSS; online BSS; Bayesian recursive; gene expression data; gene-microarray data; line spectral frequency; speaker identification. ii;

    Abstract : A direction is defined here as a multi-dimensional unit vector. Such unitvectors form directional data. Closely related to directional data are axialdata for which each direction is equivalent to the opposite direction.Directional data and axial data arise in various fields of science. READ MORE