2 citations · 3 across the 3 of their papers we have counts for
4 papers
Mixture Modeling for Temporal Point Processes with Memory
Xiaotian Zheng, Athanasios Kottas, Bruno Sansó
We propose a constructive approach to building temporal point processes that incorporate dependence on their history. The dependence is modeled through the conditional density of t…
Bayesian Geostatistical Modeling for Discrete-Valued Processes
Xiaotian Zheng, Athanasios Kottas, Bruno Sansó
We introduce a flexible and scalable class of Bayesian geostatistical models for discrete data, based on the class of nearest neighbor mixture transition distribution processes (NN…
Nearest-Neighbor Mixture Models for Non-Gaussian Spatial Processes
Xiaotian Zheng, Athanasios Kottas, Bruno Sansó
We develop a class of nearest-neighbor mixture models that provide direct, computationally efficient, probabilistic modeling for non-Gaussian geospatial data. The class is defined…
On Construction and Estimation of Stationary Mixture Transition Distribution Models
Xiaotian Zheng, Athanasios Kottas, Bruno Sansó
Mixture transition distribution time series models build high-order dependence through a weighted combination of first-order transition densities for each one of a specified number…