Essays about: "Spatial Autoregressive Models"

Showing result 1 - 5 of 7 essays containing the words Spatial Autoregressive Models.

  1. 1. Spatio-temporal analysis of COVID-19 in Västra Götaland, Sweden

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Natalia Andreeva; [2023-08-23]
    Keywords : ;

    Abstract : Spatio-temporal analysis of COVID-19 data with the two different statistical approaches is the main objective of this thesis. The first classical approach, the Endemic-Epidemic framework (Held et al., 2005) is a class of multivariate time-series models for the incidence counts, obtained from the surveillance systems. READ MORE

  3. 2. Estimating historic ranges of extinct scavenging birds from North America during the late Pleistocene using co-occurrence data from the fossil record

    University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Author : Melissa Miranda; [2023-06-30]
    Keywords : Scavenging birds; Vultures; Co-occurrence Data; Range Estimates; Spatial Autoregressive Models; Co-extinction;

    Abstract : The aim of my study was to estimate and compare the historic range of nine scavenging birds from North America that went jointly extinct with their mammalian megafaunal prey in the Late Pleistocene. Although the severity and timing of their co-extinction are strongly correlated, there has been little analytical support in providing estimates for the possible geographic distribution of scavenging birds prior to the extinction event. READ MORE

  4. 3. Implementing SAE Techniques to Predict Global Spectacles Needs

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Yuxue Zhang; [2023]
    Keywords : small area estimation; area-level model; empirical best linear unbiased prediction EBLUP ; generalized linear mixed models; Conditional Autoregressive; spatial correlation; spectacle needs; assistive products; auxiliary data; hglm; relative standard error; simulation;

    Abstract : This study delves into the application of Small Area Estimation (SAE) techniques to enhance the accuracy of predicting global needs for assistive spectacles. By leveraging the power of SAE, the research undertakes a comprehensive exploration, employing arange of predictive models including Linear Regression (LR), Empirical Best Linear Unbiased Prediction (EBLUP), hglm (from R package) with Conditional Autoregressive (CAR), and Generalized Linear Mixed Models (GLMM). READ MORE

  5. 4. Spatial modeling with INLA for analysis of unequal care in Skåne

    University essay from Lunds universitet/Matematisk statistik

    Author : Julia Wierzchoslawska; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : The objective of this thesis is to extend on a previous analysis of health care accessibility for patients diagnosed with a chronic disease in Region Skåne. The previous analysis resulted in a logistic mixed effects model having municipality as a random effect and age as a first-degree spline-function. READ MORE

  6. 5. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario

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

    Author : Hairuo Gao; [2022]
    Keywords : Participatory sensing; Data trustworthiness assessment; Anomaly detection; Traffic prediction; Deep neural network; Deltagande avkänning; Bedömning av uppgifternas tillförlitlighet; Upptäckt av anomalier; Trafikprognoser; Djupt neuralt nätverk;

    Abstract : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. READ MORE