Using gaze for behavioural biometrics
A principled approach to the analysis of eye movements for behavioural biometrics is laid
down. The approach grounds in foraging theory, which provides a sound basis to capture …
down. The approach grounds in foraging theory, which provides a sound basis to capture …
A Bayesian actor-oriented multilevel relational event model with hypothesis testing procedures
Relational event network data are becoming increasingly available. Consequently, statistical
models for such data have also surfaced. These models mainly focus on the analysis of …
models for such data have also surfaced. These models mainly focus on the analysis of …
Bayesian estimation of discrete choice models: a comparative analysis using effective sample size
In this paper, we provide a comparison of implementations of Bayesian estimation of mixed
multinomial logit (MMNL) models. Our objective is to provide a systematic comparison of the …
multinomial logit (MMNL) models. Our objective is to provide a systematic comparison of the …
Income, education, and other poverty-related variables: A journey through Bayesian hierarchical models
I Gómez-Méndez, C Amornbunchornvej - Heliyon, 2024 - cell.com
One-shirt-size policy cannot handle poverty issues well since each area has its unique
challenges, while having a custom-made policy for each area separately is unrealistic due to …
challenges, while having a custom-made policy for each area separately is unrealistic due to …
Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions
Y Hamura, K Irie, S Sugasawa - Journal of Computational and …, 2024 - Taylor & Francis
Sampling from matrix generalized inverse Gaussian (MGIG) distributions is required in
Markov chain Monte Carlo (MCMC) algorithms for a variety of statistical models. However …
Markov chain Monte Carlo (MCMC) algorithms for a variety of statistical models. However …
Efficient data augmentation for multivariate probit models with panel data: an application to general practitioner decision making about contraceptives
The paper considers the problem of estimating a multivariate probit model in a panel data
setting with emphasis on sampling a high dimensional correlation matrix and improving the …
setting with emphasis on sampling a high dimensional correlation matrix and improving the …
Full probabilistic control for direct and robust, generalized and targeted stressing of the correlation matrix (Even When Eigenvalues are Empirically Challenging)
JD Opdyke - QuantMinds/RiskMinds September, 2020 - papers.ssrn.com
In practice, risk measurement of the majority of enterprise-level portfolios, and even many
investment portfolios, requires stressing the correlation matrix directly, rather than (solely) …
investment portfolios, requires stressing the correlation matrix directly, rather than (solely) …
Bayesian Modeling for Longitudinal Count Data: Applications in Biomedical Research
M Alam - 2020 - digitalcommons.unmc.edu
Biomedical count data such as the number of seizures for epilepsy patients, number of new
tumors at each visit or the number vomiting after each chemo-radiation for the cancer …
tumors at each visit or the number vomiting after each chemo-radiation for the cancer …
Applications of Bayesian mixed effects models
V Chin - 2020 - unsworks.unsw.edu.au
A longitudinal study is an experimental design which takes repeated measurements of some
variables from a study cohort over a specified time period. This induces a correlation …
variables from a study cohort over a specified time period. This induces a correlation …