Essays about: "MLE"

Showing result 1 - 5 of 26 essays containing the word MLE.

  1. 1. Complexity, Order and Underpricing: An Empirical Study of Underpricing in Technology IPOs

    University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Author : Emil Holst; Felix Segerstedt Grahn; [2022]
    Keywords : Common Valuation Factors; Ex-ante Uncertainty; Information Spillover Effects; Initial Public Offerings; Underpricing;

    Abstract : Using a sample of IPOs in technology-intensive industries between 1983 and 2022, this paper studies the impact of firm-specific characteristics and actions of prior peers on the initial returns of IPOs. Three types of variables are tested to explain the reasons for the large level and variability of IPO underpricing in the technology sector identified in previous academic studies. READ MORE

  3. 2. 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

  4. 3. Demography of Birch Populations across Scandinavia

    University essay from Uppsala universitet/Växtekologi och evolution; Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Janek Sendrowski; [2022]
    Keywords : birch; betula; pubescens; pendula; betula pubescens; betula pendula; silver birch; downy birch; demography; population structure; distribution of fitness effects; DFE; dadi; UMAP; PCA; ADMIXTURE; polyDFE; ice age; glaciation; tree; boreal forest; climate change; adaption; tetraploid; diploid-tetraploid introgression; Scandinavia; genetic cluster; pipeline; snakemake; bioinformatics; reproducible; population genetics; postglacial population expansion; demographic history; FEEMS; site-frequency spectrum; SFS; last glacial maximum; LGM; workflow; python; population expansion; population growth; EST-SFS; 0-fold degenerate; 4-fold degenerate; maximum likelihood estimation; MLE; variant call format; VCF; single-nucleotide polymorphism; SNP;

    Abstract : Boreal forests are particularly vulnerable to climate change, experiencing a much more drastic increase in temperatures and having a limited amount of more northern refugia. The trees making up these vast and important ecosystems already had to adapt previously to environmental pressures brought about by the repeated glaciations during past ice ages. READ MORE

  5. 4. Estimation of satellite orbits using ground based radar concept

    University essay from Umeå universitet/Institutionen för fysik

    Author : Jonas Gabrielsson; [2021]
    Keywords : ;

    Abstract : Today an abundance of objects are circulating in earth captured orbit. Monitoring these objects is of national security interest. One way to map any object in orbit is with their Keplerian elements. A method for estimating the Keplerian elements of a satellite orbit simulating a ground based radar station has been investigated. READ MORE

  6. 5. Inverse Uncertainty Quantification using deterministic sampling : An intercomparison between different IUQ methods

    University essay from Uppsala universitet/Tillämpad kärnfysik

    Author : Hjalmar Andersson; [2021]
    Keywords : Inverse Uncertainty Quantification; Model calibration; Unscented transform; Deterministic sampling;

    Abstract : In this thesis, two novel methods for Inverse Uncertainty Quantification are benchmarked against the more established methods of Monte Carlo sampling of output parameters(MC) and Maximum Likelihood Estimation (MLE). Inverse Uncertainty Quantification (IUQ) is the process of how to best estimate the values of the input parameters in a simulation, and the uncertainty of said estimation, given a measurement of the output parameters. READ MORE