Essays about: "bayesian decision theory"

Found 4 essays containing the words bayesian decision theory.

  1. 1. Variable Selection for Estimating Optimal Sequential Treatment Decisions Using Bayesian Networks

    University essay from Lunds universitet/Statistiska institutionen

    Author : Joel Persson; [2020]
    Keywords : decision theory; causal inference; variable selection; graphical models; causal discovery; dynamic treatment regimes; dynamic programming; reinforcement learning; observational study; Mathematics and Statistics;

    Abstract : We propose a variable selection method for estimating decision rules of optimal sequential treatment assignments when the decision-relevant variables are unknown. Standard variable selection methods are insufficient in this setting since they choose covariates that are predictive of the outcome, not those that interact with the treatment on the outcome and are therefore relevant for decision-making. READ MORE

  3. 2. Proactive Adaptation of Behavior for Smart Connected Objects

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Orsola Fejzo; [2019]
    Keywords : Proactive Adaptation; Context-awareness; Internet of Things; Decision Theory; Smart Waste Management;

    Abstract : The great amount of generated data from IoT infrastructures in Smart Cities, if properly leveraged, presents the opportunity to shift towards more sustainable practices in rapidly increasing urban areas. Reasoning upon this data in a proactive way, by avoiding unwanted future events before they occur, leads to more efficient services. READ MORE

  4. 3. On the development of an unsupervised probabilistic algorithm for grayscale fluorescence image segmentation

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

    Author : Magnus Brander; [2018]
    Keywords : bayesian decision theory; bayesian; image segmentation; fluorescence microscopy images; Otsu; Physics and Astronomy;

    Abstract : In the field of computational biology, fluorescence microscopy images often constitute the input source of information. The process of binarization of raw images to delineate interesting objects requires image segmentation into signal and background pixels. READ MORE

  5. 4. Application of Dempster Shafer Theory to Assess the Status of Sealed Fire in a Cole Mine

    University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

    Author : Muhammad Hafeez; [2011]
    Keywords : Dempster-Shafer theory; evidence; data fusion; coal mining; sealed fires; air quality and mine fire index;

    Abstract : Dempster-Shafer theory nowadays is used to model the epistemic (subjective) uncertainty as an alternative to the traditional probabilistic approach. Few decades back, Bayesian probability theory was used for this purpose as to handle problems encountered in different engineering disciplines. READ MORE