Sökning: "Bayesiansk metod"

Visar resultat 1 - 5 av 29 uppsatser innehållade orden Bayesiansk metod.

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

   Master-uppsats, KTH/Matematisk statistik

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

   Sammanfattning : 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. LÄS MER

3. 2. Problemet med ursprungssannolikheter och naked statistical evidence i bayesiansk bevisvärderingsmetod

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakulteten

   Författare :Gustaf Sveréus; [2023]
   Nyckelord :Allmän rättslära; Bevisvärdering; Law and Political Science;

   Sammanfattning : The thesis investigates the problem of naked statistical evidence and the problem of priors in the Bayesian theory of legal evidence. To fulfil this purpose, a transdisciplinary and legal philosophical method is used which enables an examination of the epistemological and normative considerations that characterize inquiries in legal evidence theory. LÄS MER

4. 3. LDPC DropConnect

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, Umeå universitet/Institutionen för psykologi

   Författare :Love Zackrisson; [2023]
   Nyckelord :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.;

   Sammanfattning : 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. LÄS MER

7. 5. Aluminiumbehandling som sjörestaureringsåtgärd i Stora och Lilla Ullfjärden

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Luft-, vatten- och landskapslära

   Författare :Maja Sellergren; [2022]
   Nyckelord :Aluminum treatment; lake restoration; algal blooms; Bayesian decision analysis; Aluminiumbehandling; sjörestaurering; algblomning; bayesiansk beslutsanalys;

   Sammanfattning : Stora och Lilla Ullfjärden är två sjöar som tillhör den innersta delen av en vik i Mälaren. Här har den höga fosforbelastningen länge varit ett problem då den leder till kraftig algblomning varje år. LÄS MER