Search for dissertations about: "correlated data models"

Showing result 1 - 5 of 232 swedish dissertations containing the words correlated data models.

2. 1. On gene regulatory networks and data fitting

   Author : Karl Fogelmark; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
   Keywords : Circadian rhythms; gene regulation; transcription networks; correlated data; Circadian rhythms; gene regulation; transcription networks; correlated data; Fysicumarkivet A:2016:Fogelmark;

   Abstract : Living organisms can be viewed as complex biological machines. In order to function, they must regulate their internal mechanism to do the right thing, at the right time, and in the right amount. Part of this regulation is encoded in gene regulatory networks. READ MORE

4. 2. Correlated random effects models for clustered survival data

   Author : Frank Eriksson; Göteborgs universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; competing risks; case-cohort; semiparametric; Survival analysis; random effects; routine register; frailty model; Survival analysis; frailty model; competing risks; random effects; case-cohort; routine register; semiparametric;

   Abstract : Frailty models are frequently used to analyse clustered survival data in medical contexts. The frailties, or random effects, are used to model the association between individual survival times within clusters. READ MORE

5. 3. Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining

   Author : Eva García Martín; Håkan Grahn; Veselka Boeva; Emiliano Casalicchio; Jesse Read; Blekinge Tekniska Högskola; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; machine learning; energy efficiency; data stream mining; green machine learning; edge computing; Computer Science; Datavetenskap;

   Abstract : Energy efficiency in machine learning explores how to build machine learning algorithms and models with low computational and power requirements. Although energy consumption is starting to gain interest in the field of machine learning, still the majority of solutions focus on obtaining the highest predictive accuracy, without a clear focus on sustainability. READ MORE

6. 4. Pharmacometric Methods and Novel Models for Discrete Data

   Author : Elodie L Plan; Mats O Karlsson; Laura Sargentini-Maier; Armel Stockis; Christian Laveille; Uppsala universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacometrics; pharmacodynamics; disease progression; modelling; discrete data; count; ordered categorical; repeated time-to-event; RTTCE; RCEpT; NONMEM; FOCE; LAPLACE; SAEM; AGQ; pain scores; epilepsy seizures; gastroesophageal symptoms; statistical power; simulations; diagnostics; PHARMACY; FARMACI; Pharmacokinetics and Drug Therapy; Farmakokinetik och läkemedelsterapi;

   Abstract : Pharmacodynamic processes and disease progression are increasingly characterized with pharmacometric models. However, modelling options for discrete-type responses remain limited, although these response variables are commonly encountered clinical endpoints. Types of data defined as discrete data are generally ordinal, e.g. READ MORE

7. 5. Mostly Panel Econometrics : Essays on Asymptotic Analysis and Enhanced Inference

   Author : Ovidijus Stauskas; Joakim Westerlund; Ignace De Vos; Milda Norkute; Nationalekonomiska institutionen; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Econometrics; Panel Data; Factor Models; Bootstrap; Forecasting; Non-Stationary Data; Common Correlated Effects; CCE;

   Abstract : This thesis consists of five chapters which focus on panel data theory. Four of them analyze explicit panel data models and one chapter deals with time series forecasting model, where external panel data help us estimate unobserved explanatory variables. READ MORE