Essays about: "Bayesiansk metod"

Showing result 1 - 5 of 19 essays containing the words Bayesiansk metod.

1. 1. Branching Out with Mixtures: Phylogenetic Inference That’s Not Afraid of a Little Uncertainty

   University essay from KTH/Matematisk statistik

   Author : Ricky Molén; [2023]
   Keywords : Phylogeny; Bayesian analysis; Markov chain Monte Carlo; Variational inference; Mixture of proposal distributions; Fylogeni; Bayesiansk analys; Markov Chain Monte Carlo; Variationsinferens; Mixturer av förslagsfördelningar;

   Abstract : Phylogeny, the study of evolutionary relationships among species and other taxa, plays a crucial role in understanding the history of life. Bayesian analysis using Markov chain Monte Carlo (MCMC) is a widely used approach for inferring phylogenetic trees, but it suffers from slow convergence in higher dimensions and is slow to converge. READ MORE

3. 2. LDPC DropConnect

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

   Author : Xi Chen; [2023]
   Keywords : Bayesian approach; Machine learning; Coding theory; Measurement uncertainty; Algorithms; Bayesiansk metod; Maskininlärning; Kodningsteori; Mätosäkerhet; Algoritmer;

   Abstract : Machine learning is a popular topic that has become a scientific research tool in many fields. Overfitting is a common challenge in machine learning, where the model fits the training data too well and performs poorly on new data. READ MORE

4. 3. EVOKED PHASE COHERENCE AS A BIOMARKER FOR ADAPTIVE NEUROMODULATION IN RAT MODEL OF PARKINSON'S DISEASE

   University essay from Umeå universitet/Institutionen för psykologi

   Author : Love Zackrisson; [2023]
   Keywords : Adaptive; Closed Loop; Neuromodulation; Parkinson’s Disease; Rat model; 6-OHDA; ITC; Phase Coherence; Bayesian Model; Classifier; Spinal Cord Stimulation; Deep Brain Stimulation.; Adaptiv; Closed Loop; Neuromodulation; Parkinson’s Sjukdom; Råttmodell; 6-OHDA; ITC; Faskoherens; Bayesiansk Modell; Klassificerare; Ryggradsstimulering; Djup Hjärnstimulering.;

   Abstract : Neuromodulation, such as spinal cord stimulation (SCS) and deep brain stimulation (DBS), has been shown to modulate pathophysiological brain activity and provide symptomatic therapy for several neurological disorders, including Parkinson’s Disease. The effectiveness of this therapy could likely be further improved by neuromodulation that is adaptive, delivering stimulation more selectively, by monitoring a biomarker in recorded brain signals, which indicates the presence of a pathological state. READ MORE

5. 4. Inverse Uncertainty Quantification for Sounding Rocket Dispersion

   University essay from KTH/Matematik (Avd.)

   Author : Tove Ågren; [2022]
   Keywords : Uncertainty quantification; Bayesian inference; Rocket dispersion; Neural networks; Markov Chain Monte Carlo.; Osäkerhetskvantifiering; Bayesiansk inferens; Raketspridning; Neurala nätverk; Markovkedje-Monte Carlo;

   Abstract : Sounding rocket impact points are subject to dispersion due to uncertainties in simulation model parameters and perturbations of the rocket trajectory during flight. Estimating the area of dispersion assumes that associated model uncertainties and magnitude of perturbations have already been inferred. READ MORE

6. 5. Out-of-distribution Recognition and Classification of Time-Series Pulsed Radar Signals

   University essay from KTH/Matematisk statistik

   Author : Paul Hedvall; [2022]
   Keywords : Out-of-Distribution; Gaussian Mixture Models; Dirichlet Process Mixture Models; Deinterleaving; Radar classification; Time-series analysis; Pulsed radar signals; Out-of-Distribution; Gaussian Mixture Models; Dirichlet Process Mixture Models; Deinterleaving; Radar classification; Time-series analysis; Pulsed radar signals;

   Abstract : This thesis investigates out-of-distribution recognition for time-series data of pulsedradar signals. The classifier is a naive Bayesian classifier based on Gaussian mixturemodels and Dirichlet process mixture models. READ MORE