4 papers
Optimization and Regularization Under Arbitrary Objectives
Jared N. Lakhani, Etienne Pienaar
This study investigates the limitations of applying Markov Chain Monte Carlo (MCMC) methods to arbitrary objective functions, focusing on a two-block MCMC framework which alternate…
Extending the Accelerated Failure Conditionals Model to Location-Scale Families
Jared N. Lakhani
Arnold and Arvanitis (2020) introduced a novel class of bivariate conditionally specified distributions, in which dependence between two random variables is established by defining…
Models with Accelerated Failure Conditionals
Jared N. Lakhani
Arnold and Arvanitis (2020) introduced a novel bivariate conditionally specified distribution, a distribution in which dependence between two random variables is established by def…
Pseudo-Poisson Distributions with Nonlinear Conditional Rates
Jared N. Lakhani
Arnold & Manjunath (2021) claim that the bivariate pseudo-Poisson distribution is well suited to bivariate count data with one equidispersed and one overdispersed marginal, owing t…