Bayesian Recurrent Neural Network Models for Forecasting and Quantifying Uncertainty in Spatial-Temporal Data

Deep learning for spatio-temporal modeling: Dynamic traffic flows and high frequency trading

(2018) Matthew F. Dixon et al.   APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY

Sparsity in nonlinear dynamic spatiotemporal models using implied advection

(2017) Robert Alan Richardson   ENVIRONMETRICS

Bayesian Spatial Change of Support for Count-Valued Survey Data With Application to the American Community Survey

(2016) Jonathan R. Bradley et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

The Spike-and-Slab LASSO

(2016) Veronika Ročková et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Bayesian Recurrent Neural Network for Language Modeling

(2016) Jen-Tzung Chien et al.   IEEE Transactions on Neural Networks and Learning Systems

A model-based approach for analog spatio-temporal dynamic forecasting

(2015) Patrick L. McDermott et al.   ENVIRONMETRICS

Discrete approach to stochastic parametrization and dimension reduction in nonlinear dynamics

(2015) Alexandre J. Chorin et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Physically motivated scale interaction parameterization in reduced rank quadratic nonlinear dynamic spatio-temporal models

(2014) D.W. Gladish et al.   ENVIRONMETRICS

Probabilistic Forecasting

(2014) Tilmann Gneiting et al.   Annual Review of Statistics and Its Application

Hierarchical Bayesian Spatio-Temporal Conway–Maxwell Poisson Models with Dynamic Dispersion

(2013) Guohui Wu et al.   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

From Birdsong to Human Speech Recognition: Bayesian Inference on a Hierarchy of Nonlinear Dynamical Systems

(2013) Izzet B. Yildiz et al.   PLoS Computational Biology

Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction

(2012) Rohitash Chandra et al.   NEUROCOMPUTING

Skill of Real-Time Seasonal ENSO Model Predictions during 2002–11: Is Our Capability Increasing?

(2011) Anthony G. Barnston et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

The horseshoe estimator for sparse signals

(2010) C. M. Carvalho et al.   BIOMETRIKA

Statistical Agent-Based Models for Discrete Spatio-Temporal Systems

(2010) Mevin B. Hooten et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A general science-based framework for dynamical spatio-temporal models

(2010) Christopher K. Wikle et al.   TEST

A Novel Connectionist System for Unconstrained Handwriting Recognition

(2009) A. Graves et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A theoretical comparison of the data augmentation, marginal augmentation and PX-DA algorithms

(2008) James P. Hobert et al.   ANNALS OF STATISTICS

The Bayesian Lasso

(2008) Trevor Park et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION