Essays about: "regressionsmodeller"

Showing result 1 - 5 of 58 essays containing the word regressionsmodeller.

  1. 1. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning

    University essay from KTH/Matematik (Avd.)

    Author : Mattias Martinsen; [2023]
    Keywords : Wavelet; Regression; Bayesian network; Prediction; Patent; Machine Learning; Wavelet; Regression; Bayesiskt nätverk; Predicering; Patent; Maskininlärning;

    Abstract : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. READ MORE

  3. 2. Radio Environment Compensation in a Narrowband IoT Positioning System : Using Radio Signal Metrics Between Stationary Devices

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

    Author : Elin Berglund; [2023]
    Keywords : Positioning; IoT; machine learning; range estimation; Positionering; IoT; maskininlärning; avståndsuppskattning;

    Abstract : The Internet of Things (IoT) has emerged as a powerful tool for meeting our need to collect information about and interact with our environments. One important aspect of this technology is positioning which imposes requirements on both the energy consumption and the arrangement of the systems. READ MORE

  4. 3. A Dual-Lens Approach to Loss Given Default Estimation: Traditional Methods and Variable Analysis

    University essay from KTH/Matematik (Avd.)

    Author : William Jaeckel; Nicolai Versteegh; [2023]
    Keywords : Loss given default; estimering; jämförande studie; variabelanalys; kreditförvaltning; utlåning till små och medelstora företag; riskanalys; Loss given default; estimering; jämförande studie; variabelanalys; kreditförvaltning; utlåning till små och medelstora företag; riskanalys;

    Abstract : This report seeks to thoroughly examine different approaches to estimating Loss Given Default through a comparison of traditional estimation methods, as well as a deeper variable analysis on micro, small, and medium-sized companies using primarily regression decision trees. The comparative study concluded that estimating loss given default depends heavily on business-specific factors and data variety. READ MORE

  5. 4. Machine Learning Model for Localization in an Urban Environment

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

    Author : Erik Wallinder-Mähler; Magdalena Björk; [2023]
    Keywords : ;

    Abstract : The indoor localization problem has seen great improvements during the last tenyears and today it is possible to determine the location of electronic devices, such assmartphones, with centimeter precision. The aim of this project is to apply similar localizationmethods on multichannel antenna data gathered outdoors in an urban environment andanalyze the viability of this approach. READ MORE

  6. 5. From Data to Decision: : Using Logistic Regression to Determine Creditworthiness

    University essay from KTH/Matematisk statistik

    Author : Joel Norling; Sami Abdu; [2023]
    Keywords : Bachelor Thesis; Scorecard modeling; Mathematical Statistics; Logistic Regression; Consumer Credits; Binning; Kandidatuppsats; Scorecard-modellering; Matematisk statistik; Logistisk regression; Konsumentkrediter; Binning;

    Abstract : The development of scorecards for customer credit rating is a well-established field in the financial sector. The aim of this project, conducted in collaboration with a Swedish credit institute, was to develop a statistical model for predicting customer performance. READ MORE