Essays about: "Estimation Problem"

Showing result 1 - 5 of 389 essays containing the words Estimation Problem.

  1. 1. Estimating human resilience to social engineering attacks through computer configuration data : A literature study on the state of social engineering vulnerabilities

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

    Author : Matias Carlander-Reuterfelt Gallo; [2020]
    Keywords : Internet security; Social engineering; Phishing; Privacy; Computer configuration; Psychology.; Internet säkerhet; Social manipulering; Phishing; Integritet; Datorkonfiguration; Psykologi.;

    Abstract : Social engineering as a method of attack is increasingly becoming a problem for both corporations and individuals. From identity theft to enormous financial losses, this form of attack is notorious for affecting complex structures, yet often being very simple in its form. READ MORE

  2. 2. Analysis of an Ill-posed Problem of Estimating the Trend Derivative Using Maximum Likelihood Estimation and the Cramér-Rao Lower Bound

    University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Author : Muhammad Farhan Naeem; [2020]
    Keywords : carbon dioxide levels; Keeling Curve; Taylor and Fourier series; Maximum Likelihood Estimation; MLE; Cramér-Rao Lower Bound; CRLB;

    Abstract : The amount of carbon dioxide in the Earth’s atmosphere has significantly increased in the last few decades as compared to the last 80,000 years approximately. The increase in carbon dioxide levels are affecting the temperature and therefore need to be understood better. READ MORE

  3. 3. Evaluation of Tracking Filters for Tracking of Manoeuvring Targets

    University essay from Linköpings universitet/Reglerteknik

    Author : Ludvig Junler; [2020]
    Keywords : Interacting multiple model; Kalman filter; Target tracking;

    Abstract : This thesis evaluates different solutions to the target tracking problem with the use of airborne radar measurements. The purpose of this report is to present and compare options that can improve the tracking performance when the target is performing various manoeuvres while the radar measurements are noisy. READ MORE

  4. 4. Spectral Portfolio Optimisation with LSTM Stock Price Prediction

    University essay from KTH/Matematisk statistik

    Author : Nancy Wang; [2020]
    Keywords : Artificial Neural Network; LSTM; Spectral factor model; Portfolio optimisation; Stock price prediction; Time series analysis; Risk estimation; Spectral risk; Frequency-specific beta decomposition; Artificiella neurala nätverk; LSTM; Spektralfaktormodell; Portföljoptimering; Aktieprispredikering; Tidsserieranalys; Riskestimering; Spektra risk; Frekvensspecifik beta dekomposition;

    Abstract : Nobel Prize-winning modern portfolio theory (MPT) has been considered to be one of the most important and influential economic theories within finance and investment management. MPT assumes investors to be riskaverse and uses the variance of asset returns as a proxy of risk to maximise the performance of a portfolio. READ MORE

  5. 5. Analysis and Simulation Study of Stochastic Time-To-Collision as a Severity Measure in Traffic Security

    University essay from Lunds universitet/Matematisk statistik

    Author : Per Niklas Benzler Waaler; [2020]
    Keywords : time; collision; ttc; stochastic; probability; transform; transformation; traffic; data; under; estimation; post; encroachment; mixture; distribution; simulation; study; encounter; conflict; trajectory; prediction; road; user; safety; severity; surrogate; measure; Mathematics and Statistics;

    Abstract : Traffic accidents are extremely rare, creating the need for surrogate methods for safety analysis that makes efficient use of the information provided by traffic conflicts, which also are limited in availability. The severity measure time-to-collision (TTC) in combination with extreme value theory have so far been one of the primary measures used to infer traffic safety levels, but it relies on unrealistic assumptions that results in severity measures that do not always agree well with observed danger. READ MORE