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Found 5 papers, 1 papers with code
A Class of Dependent Random Distributions Based on Atom Skipping
We propose the Plaid Atoms Model (PAM), a novel Bayesian nonparametric model for grouped data.
BaySize: Bayesian Sample Size Planning for Phase I Dose-Finding Trials
We propose BaySize, a sample size calculator for phase I clinical trials using Bayesian models.
Methodology Applications
Hi3+3: A Model-Assisted Dose-Finding Design Borrowing Historical Data
Purpose -- Based on a hybrid design that partly uses probability models and partly uses algorithmic rules for decision making, we aim to improve the efficiency of the dose-finding trials in the presence of historical data, maintain safety for patients, and achieve a level of simplicity for practical applications.
Methodology 62P10
Semiparametric Bayesian Inference for the Transmission Dynamics of COVID-19 with a State-Space Model
In particular, we consider a probabilistic extension of the classical susceptible-infectious-recovered model, which takes into account undocumented infections and allows the epidemiological parameters to vary over time.
Methodology Populations and Evolution Applications
Consensus Monte Carlo for Random Subsets using Shared Anchors
Motivated by three case studies, we focus on clustering induced by a Dirichlet process mixture sampling model, inference under an Indian buffet process prior with a binomial sampling model, and with a categorical sampling model.
