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Learning mixed-infection strains from older hosts: a new sampling scheme for malaria epidemiology and population genetics

td;dr: In this study, we investigate the impact of host age on the inference accuracy of malaria parasite strains and diversity structure, and propose the best age group sampling strategy for molecular epidemiological studies. Our results show that malaria parasite isolates from old hosts can provide the most accurate inference of strain haplotypes, shared infections and population-level strain richness.

SOMA: A Novel Sampler for Bayesian Inference from Privatized Data

Making valid statistical inferences from privatized data is a key challenge in modern analysis. In Bayesian settings, data augmentation MCMC (DAMCMC) methods impute unobserved confidential data given noisy privatized summaries, enabling principled …

Statistical Inference for Privatized Data with Unknown Sample Size

We develop both theory and algorithms to analyze privatized data in the unbounded differential privacy(DP), where even the sample size is considered a sensitive quantity that requires privacy protection. We show that the distance between the sampling …

Sequential Monte Carlo algorithms for agent-based models of disease transmission

A simple Markov chain for independent Bernoulli variables conditioned on their sum

We consider a vector of $N$ independent binary variables, each with a different probability of success. The distribution of the vector conditional on its sum is known as the conditional Bernoulli distribution. Assuming that $N$ goes to infinity and …