323 citations · 362 across the 8 of their papers we have counts for
12 papers
Generalized difference-in-differences
Denis Agniel, Max Rubinstein, Jessie Coe +1
We propose a new method for estimating causal effects in longitudinal/panel data settings that we call generalized difference-in-differences. Our approach unifies two alternative a…
Microsimulation Model Calibration using Incremental Mixture Approximate Bayesian Computation
Carolyn Rutter, Jonathan Ozik, Maria DeYoreo +1
Microsimulation models (MSMs) are used to predict population-level effects of health care policies by simulating individual-level outcomes. Simulated outcomes are governed by unkno…
Data Fusion for Correcting Measurement Errors
Tracy Schifeling, Jerome P. Reiter, Maria DeYoreo
Often in surveys, key items are subject to measurement errors. Given just the data, it can be difficult to determine the distribution of this error process, and hence to obtain acc…
Bayesian mixture modeling for multivariate conditional distributions
Maria DeYoreo, Jerome P. Reiter
We present a Bayesian mixture model for estimating the joint distribution of mixed ordinal, nominal, and continuous data conditional on a set of fixed variables. The model uses mul…
A Bayesian Nonparametric Markovian Model for Nonstationary Time Series
Maria DeYoreo, Athanasios Kottas
Stationary time series models built from parametric distributions are, in general, limited in scope due to the assumptions imposed on the residual distribution and autoregression r…
Bayesian Mixture Models With Focused Clustering for Mixed Ordinal and Nominal Data
Maria DeYoreo, Jerome P. Reiter, D. Sunshine Hillygus
In some contexts, mixture models can fit certain variables well at the expense of others in ways beyond the analyst's control. For example, when the data include some variables wit…
Modeling for Dynamic Ordinal Regression Relationships: An Application to Estimating Maturity of Rockfish in California
Maria DeYoreo, Athanasios Kottas
We develop a Bayesian nonparametric framework for modeling ordinal regression relationships which evolve in discrete time. The motivating application involves a key problem in fish…
Categorical Data Fusion Using Auxiliary Information
Bailey K. Fosdick, Maria DeYoreo, Jerome P. Reiter
In data fusion analysts seek to combine information from two databases comprised of disjoint sets of individuals, in which some variables appear in both databases and other variabl…
Bayesian Nonparametric Modeling for Multivariate Ordinal Regression
Maria DeYoreo, Athanasios Kottas
Univariate or multivariate ordinal responses are often assumed to arise from a latent continuous parametric distribution, with covariate effects which enter linearly. We introduce…
A Fully Nonparametric Modelling Approach to Binary Regression
Maria DeYoreo, Athanasios Kottas
We propose a general nonparametric Bayesian framework for binary regression, which is built from modeling for the joint response-covariate distribution. The observed binary respons…
The Neutron Star Mass Distribution
Bulent Kiziltan, Athanasios Kottas, Maria De Yoreo +1
In recent years, the number of pulsars with secure mass measurements has increased to a level that allows us to probe the underlying neutron star (NS) mass distribution in detail.…
The Neutron Star Mass Distribution
Bulent Kiziltan, Athanasios Kottas, Stephen E. Thorsett
In recent years, the number of pulsars with secure mass measurements has increased to a level that allows us to probe the underlying neutron star mass distribution in detail. We cr…