Search for dissertations about: "misspecification"

Showing result 1 - 5 of 34 swedish dissertations containing the word misspecification.

  2. 1. Methods for handling model misspecification in pharmacometric model-based approaches for the analysis of longitudinal clinical trial data

    Author : Estelle Chasseloup; Mats Karlsson; Andrew Hooker; Karl Brendel; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; pharmacometrics; nonlinear mixed-effects models; misspecification; type I error; power; accuracy; placebo; individual model averaging; IMA; likelihood ratio test; LRT; model averaging; covariate selection; mixture models; visual predictive checks; VPC; avatars; digital twins; virtual individual; Farmaceutisk vetenskap; Pharmaceutical Science;

    Abstract : Pharmacometrics model-based analyses proved to be increasingly useful in drug discovery and development. This usefulness was made evident by the formalisation of the model-integrated drug discovery and development framework (MID3). READ MORE

  4. 2. Some aspects of statistical inference in systems of equations

    Author : Ghazi Shukur; Statistiska institutionen; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Statistics; small sample properties.; misspecification; system of equations; dynamic specification; operations research; programming; actuarial mathematics; Statistik; operationsanalys; programmering; aktuariematematik;

    Abstract : The objective of this thesis is to develop a strategy for statistical/econometric inferences applicable to systemwise testing of econometric models. A common deficiency in many applied econometric studies is the absence of statistical diagnostic testing. READ MORE

  5. 3. Generalization under Model Mismatch and Distributed Learning

    Author : Martin Hellkvist; Ayca Özcelikkale; Anders Ahlén; Martin Jaggi; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Signal processing; Generalization error; Training error; Double-descent; Double descent; Distributed learning; Distributed optimization; Learning over networks; Model mismatch; Model misspecification; Fake features; Missing features; linear regression; regularization; Machine learning; Maskininlärning;

    Abstract : Machine learning models are typically configured by minimizing the training error over a given training dataset. On the other hand, the main objective is to obtain models that can generalize, i.e., perform well on data unseen during training. READ MORE

  6. 4. Learning about the unobservable : The role of attitudes, measurement errors, norms and perceptions in user behaviour

    Author : Juan Manuel Lorenzo Varela; Yusak Susilo; R. Daniel Jonsson; Maria Börjesson; Soora Rasouli; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Attitudes; Measurement errors; Discrete choice analysis; Latent variables; Model misspecification; Normative beliefs; Rail factor; User perceptions; Social norms; Value of travel time savings; Transportvetenskap; Transport Science;

    Abstract : Unobservable factors are important to understand user behaviour. Moreover, they contain information to help design services that willsolve today’s challenges. Yet, we have barely scratched the surface ofthe underlying mechanisms ruling user behaviour. READ MORE

  7. 5. The market impact of short-sale constraints

    Author : Roland Nilsson; Handelshögskolan i Stockholm; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES;

    Abstract : The thesis addresses two areas of research within financial economics: empirical asset pricing and the borderline area between finance and economics with emphasis on econometrical methods. The empirical asset pricing section considers the effects of short-sale constraints on both the stock market as well as the derivatives market. READ MORE