Essays about: "Bayesian Inference"

Showing result 1 - 5 of 51 essays containing the words Bayesian Inference.

  1. 1. Markov Chain Monte Carlo (MCMC) and Bayesian Inference for Gravitational Waves

    University essay from Lunds universitet/Astronomi

    Author : Christine Andersson; [2021]
    Keywords : Gravitational Waves; LISA; LISA mission; Bayesian Inference; Markov Chain Monte Carlo; MCMC; Bayes’ Theorem; stochastic sampling; Metropolis Hastings; histograms; Physics and Astronomy;

    Abstract : The Laser Interferometer Space Antenna (LISA) is a space borne gravitational wave detec- tor set to launch in 2034, with the objective of detecting and studying the Gravitational Waves (GWs) of our universe. So far, ground-based detectors such as the Laser Interferometer Gravitational-Wave Observatory (LIGO) have been successful in detecting GWs, but the limitations of ground based detectors is what makes LISA so special. READ MORE

  2. 2. A deep dive into the Prinia atrogularis complex : A tale of birds and taxonomy

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildningUppsala universitet/Institutionen för ekologi och genetik

    Author : Damon Groot; [2021]
    Keywords : bird; birds; ecology; zoology; taxonomy; systematics; vocalization; biodiversity; prinia;

    Abstract : The taxonomy of the taxa in the Prinia atrogularis-khasiana-superciliaris complex has changed several times in recent history. To this day, different world bird lists classify this complex as 1–3 species. These classifications are based mainly on morphological comparisons of museum specimens. READ MORE

  3. 3. A Machine Learning Approach for Comprehending Cosmic Expansion

    University essay from KTH/Fysik

    Author : Ludvig Doeser; [2021]
    Keywords : Cosmology; Cosmic expansion; Galaxy Images; Machine learning; Kosmologi; kosmisk expansion; galaxbilder; maskininlärning;

    Abstract : This thesis aims at using novel machine learning techniques to test the dynamics of the Universe via the cosmological redshift-distance test. Currently, one of the most outstanding questions in cosmology is the physical cause of the accelerating cosmic expansion observed with supernovae. READ MORE

  4. 4. Uncertainty Estimation for Deep Learning-based LPI Radar Classification : A Comparative Study of Bayesian Neural Networks and Deep Ensembles

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

    Author : Måns Ekelund; [2021]
    Keywords : LPI radar; Uncertainty Quantification; Deep Learning; Bayesian Neural Networks; Deep Ensembles; LPI radar; Osäkerhetsskattning; Djupinlärning; Bayesianska neurala nätverk; Djupa ensembler;

    Abstract : Deep Neural Networks (DNNs) have shown promising results in classifying known Low-probability-of-intercept (LPI) radar signals in noisy environments. However, regular DNNs produce low-quality confidence and uncertainty estimates, making them unreliable, which inhibit deployment in real-world settings. READ MORE

  5. 5. Applying Model Selection on Ligand-Target Binding Kinetic Analysis

    University essay from KTH/Proteinvetenskap

    Author : Klara Djurberg; [2021]
    Keywords : LigandTracer; kinetic models; Rituximab; Bayesian inference; Bayesian model selection; LigandTracer; interaktionsmodeller; Rituximab; Bayesiansk inferens; modellval;

    Abstract : The time-course of interaction formation or breaking can be studied using LigandTracer, and the data obtained from an experiment can be analyzed using a model of ligand-target binding kinetics. There are different kinetic models, and the choice of model is currently motivated by knowledge about the interaction, which is problematic when the knowledge about the interaction is unsatisfactory. READ MORE