Sökning: "Monte Carlo Approximation"
Visar resultat 1 - 5 av 65 uppsatser innehållade orden Monte Carlo Approximation.
1. Branching Out with Mixtures: Phylogenetic Inference That’s Not Afraid of a Little Uncertainty
Master-uppsats, KTH/Matematisk statistikSammanfattning : 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
2. Multi-factor approximation : An analysis and comparison ofMichael Pykhtin's paper “Multifactor adjustment”
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : The need to account for potential losses in rare events is of utmost importance for corporations operating in the financial sector. Common measurements for potential losses are Value at Risk and Expected Shortfall. These are measures of which the computation typically requires immense Monte Carlo simulations. LÄS MER
3. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets
Uppsats för yrkesexamina på avancerad nivå, Linköpings universitet/Institutionen för ekonomisk och industriell utvecklingSammanfattning : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity. Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. LÄS MER
4. Anomaly or not Anomaly, that is the Question of Uncertainty : Investigating the relation between model uncertainty and anomalies using a recurrent autoencoder approach to market time series
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Knowing when one does not know is crucial in decision making. By estimating uncertainties humans can recognize novelty both by intuition and reason, but most AI systems lack this self-reflective ability. In anomaly detection, a common approach is to train a model to learn the distinction between some notion of normal and some notion of anomalies. LÄS MER
5. Uncertainty quantification for neural network predictions
Magister-uppsats, Umeå universitet/StatistikSammanfattning : Since their inception, machine learning methods have proven useful, and their usability continues to grow as new methods are introduced. However, as these methods are used for decision-making in most fields, such as weather forecasting,medicine, and stock market prediction, their reliability must be appropriately evaluated before the models are deployed. LÄS MER
