Essays about: "Maximum likelihood-metoden"

Showing result 1 - 5 of 16 essays containing the words Maximum likelihood-metoden.

  1. 1. Analyzing the Negative Log-Likelihood Loss in Generative Modeling

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Aleix Espuña I Fontcuberta; [2022]
    Keywords : Generative modeling; Normalizing flows; Generative Adversarial Networks; MaximumLikelihood Estimation; Real Non-Volume Preserving flow; Fréchet Inception Distance; Misspecification; Generativa metoder; Normalizing flows; Generative adversarial networks; Maximum likelihood-metoden; Real non-volume preserving flow; Fréchet inception distance; felspecificerade modeller;

    Abstract : Maximum-Likelihood Estimation (MLE) is a classic model-fitting method from probability theory. However, it has been argued repeatedly that MLE is inappropriate for synthesis applications, since its priorities are at odds with important principles of human perception, and that, e.g. READ MORE

  3. 2. Assessment of Modern Statistical Modelling Methods for the Association of High-Energy Neutrinos to Astrophysical Sources

    University essay from KTH/Matematisk statistik

    Author : Valentin Minoz; [2021]
    Keywords : Statistics; Astrophysics; Neutrino sources; Mixture models; Monte Carlo methods; Maximum likelihood estimation; Statistik; Astrofysik; Neutrinokällor; Blandningsmodeller; Monte Carlo-metoder; Maximum likelihood-metoden;

    Abstract : The search for the sources of astrophysical neutrinos is a central open question in particle astrophysics. Thanks to substantial experimental efforts, we now have large-scale neutrino detectors in the oceans and polar ice. READ MORE

  4. 3. Joint Estimation and Calibration for Motion Sensor

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Peng Liu; [2020]
    Keywords : State space model; accelerometer array; parameter estimation; Maximum Likelihood; Expectation Maximization; Gradient Descent; ill-conditioned matrix.; tillståndsmodell; accelerometerarray; parameterskattning; maximimetoden; väntevärdesmaximering; gradientsökning; illakonditionerade matriser.;

    Abstract : In the thesis, a calibration method for positions of each accelerometer in an Inertial Sensor Array (IMU) sensor array is designed and implemented. In order to model the motion of the sensor array in the real world, we build up a state space model. Based on the model we use, the problem is to estimate the parameters within the state space model. READ MORE

  5. 4. Deinterleaving of radar pulses with batch processing to utilize parallelism

    University essay from KTH/Kommunikationssystem, CoS

    Author : Emma Lind; Mattias Stahre; [2020]
    Keywords : Cluster analysis; DBSCAN; Parallelization; Signal Separation; Unsupervised learning; Klusteranalys; DBSCAN; Parallellisering; Signal Separation; Oövervakat lärande;

    Abstract : The threat level (specifically in this thesis, for aircraft) in an environment can be determined by analyzing radar signals. This task is critical and has to be solved fast and with high accuracy. The received electromagnetic pulses have to be identified in order to classify a radar emitter. READ MORE

  6. 5. Jump Estimation of Hidden Markov Models with Time-Varying Transition Probabilities

    University essay from Lunds universitet/Matematisk statistik

    Author : Henning Tansjö; [2020]
    Keywords : Jump estimation; Hidden Markov model; financial time series; clustering; unsupervised learning.; Mathematics and Statistics;

    Abstract : The Hidden Markov model is applicable to a wide variety of fields. Applied to financial time series, its assumed underlying state sequence can reflect the time series' tendency to behave differently over different periods of time. In many situations, models could be improved by including exogenous data. READ MORE