Essays about: "heteroskedastic regression"

Found 3 essays containing the words heteroskedastic regression.

  1. 1. Bayesian Quantile Regression of Conditional Heteroskedastic Models

    University essay from Örebro universitet/Handelshögskolan vid Örebro Universitet

    Author : Haris Kozlica; [2022]
    Keywords : ;

    Abstract : .... READ MORE

  3. 2. Investigating the determinants of self-rated mental health among physically disabled adults: a cross-sectional study using survey data from Bangladesh

    University essay from Lunds universitet/Socialmedicin och global hälsa

    Author : Sarah Yusuf Ibrahim; [2022]
    Keywords : Disabilty; Physical health; Mental health; Socioeconomics; Medicine and Health Sciences;

    Abstract : Abstract Background: Disability affects 15% of the world's population, and around 80% of people with disabilities are from low-middle-income countries (LMIC). According to the BangladeshFinal Report on Household Income and Expenditure Survey in 2016, Bangladesh hasapproximately 11.4 million people living with disabilities. READ MORE

  4. 3. Probabilistic Regression using Conditional Generative Adversarial Networks

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Joel Oskarsson; [2020]
    Keywords : machine learning; ml; regression; probabilistic; distribution; cgan; gan; conditional gan; adversarial networks; neural network; deep learning; f-gan; f-cgan; f-divergence; adversarial training; bimodal; heteroskedastic; mmd; maximum mean discrepancy; gmmn; generative moment matching network; conditional gmmn; ipm; kde; cgan evaluation; cgan regression; gan regression; cgan-regression; regression using gan; deep; nn; implicit; generative; conditional; model; complex noise; aleatoric; uncertainty; dctd; mdn; heteroskedastic regression; gp;

    Abstract : Regression is a central problem in statistics and machine learning with applications everywhere in science and technology. In probabilistic regression the relationship between a set of features and a real-valued target variable is modelled as a conditional probability distribution. READ MORE