Blar i NTNU Open på forfatter "Lindqvist, Bo Henry"
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Generative Adverseriale Nettverk (GAN) utvidelser og anvendelser innen bildeprosessering og generering
Sørby, Anders Christiansen (Master thesis, 2019)Når menneskehjernener prosesserer input fra sansene er de i stand til å unastrengt forestille seg nye instanser og scenarioer fra bare en liten mengde inputopplevelse. Generative Adverseriale Nettverk (GAN) klarer til en ... -
Imperfect Testing and its Influence on Availability of Safety Instrumented Systems
Sachdeva, Shipra (Master thesis, 2015)Imperfect testing of SIS, its types, definitions and models that take in account its contribution to average unavailability of the system. -
Improper priors and improper posteriors
Taraldsen, Gunnar; Tufto, Jarle; Lindqvist, Bo Henry (Peer reviewed; Journal article, 2021)What is a good prior? Actual prior knowledge should be used, but for complex models this is often not easily available. The knowledge can be in the form of symmetry assumptions, and then the choice will typically be an ... -
Introduction to System Signatures and Their Applications in Reliability Engineering
Li, Chenxing (Master thesis, 2016)The signature of a coherent system is an important tool for investigating the performance of the system. In this paper, the concept and aging properties of signatures are studied. The computations of system signatures are ... -
MACPET: model-based analysis for ChIA-PET
Vardaxis, Ioannis; Drabløs, Finn; Rye, Morten Beck; Lindqvist, Bo Henry (Journal article; Peer reviewed, 2019)We present model-based analysis for ChIA-PET (MACPET), which analyzes paired-end read sequences provided by ChIA-PET for finding binding sites of a protein of interest. MACPET uses information from both tags of each PET ... -
Markov process applied to degradation modelling: Different modelling alternatives and their properties
Feng, Zhiqi (Master thesis, 2013)New scientific methods are required in industry to avoid loss of money and human lives and provide more profit. The purpose of this paper is to study stochastic models and statistical methods for analysis of lifetimes. ... -
Methods for Analysis of Big Data.: A Combination of the Lasso Method and the Case-Crossover Design for Investigating Potential Drug Side Effects on Myocardial Infarction
Vardaxis, Ioannis (Master thesis, 2014)The current master thesis was written during the academic year 2013 − 2014 atthe Norwegian University of Science and Technology (NTNU). It concerns the im-plementation of the case-crossover design in a combination with the ... -
Modeling of Condition-based Maintenance by Competing Risks
Aasen, Anne Bakke; Finborud, Marianne (Master thesis, 2009)Condition-based maintenance is a preventive maintenance strategy where intervention times are determined based on knowledge of actual item condition provided by condition monitoring. In this report condition-based maintenance ... -
Modeling of semi-competing risks by means of first passage times of a stochastic process
Sildnes, Beate; Lindqvist, Bo Henry (Journal article; Peer reviewed, 2017)In semi-competing risks one considers a terminal event, such as death of a person, and a non-terminal event, such as disease recurrence. We present a model where the time to the terminal event is the first passage time to ... -
Modeling survival data by Coxian phase-type models
Chen, Huimi (Master thesis, 2020)Survival analysis is for analyzing time to event data. The event is normally considered as death or failure in the literature. It has been used to analyze credit risk, predict medical survival and reliability in engineering. ... -
Modelling of Dependent Competing Risks and Semi-Competing Risks by Means of First Passage Times of Gamma Processes
Sildnes, Beate (Master thesis, 2015)In this thesis we model both dependent competing risks and semi-competing risks by means of first passage times in a gamma process. In both cases, we consider a terminal event, such as death of a person or component failure, ... -
Modelling of Semi-Competing Risks Using the Illness-Death Model with Shared Frailty
Selle, Maria Lie (Master thesis, 2016)Semi-competing risks are a variation of competing risks where a terminal event censors a non-terminal event, but not vice versa. This thesis describes and studies modelling of semi-competing risks using the illness-death ... -
New tests for trend in time censored recurrent event data
Lindqvist, Bo Henry; Kvaløy, Jan Terje (Journal article; Peer reviewed, 2024)We consider testing for trend in recurrent event data. More precisely, for such data we consider testing of the null hypothesis of data coming from a renewal process. The new tests are essentially obtained by considering ... -
Nonhomogeneous Poisson process with nonparametric frailty and covariates
Slimáček, Václav; Lindqvist, Bo Henry (Journal article; Peer reviewed, 2017)The nonhomogeneous Poisson process is commonly used in the modeling of failure times of complex repairable systems. In practice there may be a substantial heterogeneity in the failure behavior among apparently identical ... -
Nonparametric estimation in trend-renewal processes
Haugedal, Per Erik (Master thesis, 2017)This thesis gives an introduction to stochastic modeling of repairable systems with failure and maintenance data, in particular the nonhomogeneous Poisson process and the trend-renewal process. It is studying kernel-based ... -
On the comparison of performance-per-cost for coherent and mixed systems
Lindqvist, Bo Henry; Samaniego, Francisco J.; Wang, Nana (Peer reviewed; Journal article, 2020)The present paper is concerned with reliability economics, considering a certain performance-per-cost criterion for coherent and mixed systems, as introduced in [Dugas, M.R. & Samaniego, F.J. (2007). On optimal system ... -
On the proper treatment of improper distributions
Lindqvist, Bo Henry; Taraldsen, Gunnar (Journal article; Peer reviewed, 2017)The axiomatic foundation of probability theory presented by Kolmogorov has been the basis of modern theory for probability and statistics. In certain applications it is, however, necessary or convenient to allow improper ... -
Phase-type inference on competing risks models with covariates, using MCMC methods
Laache, Christoffer Haug (Master thesis, 2014)The aim with this Master's thesis has been to develop a method of fitting a Phase-type model to a competing risks data set with covariates, and to approximate an underlying model such that important functionals and quantities ... -
Phase-type modeller for konkurrerende risikoer - Tilpasning til datasett og identifiserbarhet av modellene
Kjølen, Susanne Hodneland (Master thesis, 2015)Phase-type modeller for konkurrerende risikodata blir tilpasset to datasett. Begge datasettene omhandler pasienter innlagt på en intensivavdeling, og deres tid til de konkurrerende risikoene død eller utskrivelse. Det ... -
Phase-Type Models and Their Extension to Competing Risks
Lindqvist, Bo Henry; Kjølen, Susanne Hodneland (Chapter, 2018)We present an extension of the phase-type methodology for modeling of lifetime distributions to include the case of competing risks. This is done by considering finite state Markov chains in continuous time with more than ...