Sökning: "inference"

Visar resultat 31 - 35 av 564 avhandlingar innehållade ordet inference.

  1. 31. Valid causal inference in high-dimensional and complex settings

    Författare :Niloofar Moosavi; Xavier de Luna; Jenny Häggström; Edward Kennedy; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Causal inference; high dimension; sensitivity analysis; variable selection; convolutional neural network; semiparametric efficiency bound; Statistics; statistik;

    Sammanfattning : The objective of this thesis is to consider some challenges that arise when conducting causal inference based on observational data. High dimensionality can occur when it is necessary to adjust for many covariates, and flexible models must be used to meet convergence assumptions. The latter may require the use of a novel machine learning estimator. LÄS MER

  3. 32. Selection of smoothing parameters with application in causal inference

    Författare :Jenny Häggström; Xavier de Luna; Marie Wiberg; Yanyuan Ma; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Smoothing parameter selection; Nonparametric regression; Semiparametric additive model; Double smoothing; Causal inference; BMI; Divorce; Statistics; Statistik; Statistics; statistik;

    Sammanfattning : This thesis is a contribution to the research area concerned with selection of smoothing parameters in the framework of nonparametric and semiparametric regression. Selection of smoothing parameters is one of the most important issues in this framework and the choice can heavily influence subsequent results. LÄS MER

  4. 33. Causal inference in epidemiological research

    Författare :Arvid Sjölander; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :;

    Sammanfattning : Traditionally, statistics has been viewed as the branch of science which deals with association. Many epidemiological research questions, however, are concerned with causation, not association. In this thesis we develop novel statistical methodology to address four epidemiological problems properly, from a causal inference point of view. LÄS MER

  5. 34. Perspectives on Probabilistic Graphical Models

    Författare :Dong Liu; Ragnar Thobaben; Harri Lähdesmäki; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Bayesian methods; graphical models; inference; learning; statistics; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Probabilistic graphical models provide a natural framework for the representation of complex systems and offer straightforward abstraction for the interactions within the systems. Reasoning with help of probabilistic graphical models allows us to answer inference queries with uncertainty following the framework of probability theory. LÄS MER

  7. 35. Machine learning using approximate inference : Variational and sequential Monte Carlo methods

    Författare :Christian Andersson Naesseth; Thomas Schön; Fredrik Lindsten; Iain Murray; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : Automatic decision making and pattern recognition under uncertainty are difficult tasks that are ubiquitous in our everyday life. The systems we design, and technology we develop, requires us to coherently represent and work with uncertainty in data. LÄS MER