Infectious disease prediction with kernel conditional density estimation

Results from the centers for disease control and prevention’s predict the 2013–2014 Influenza Season Challenge

(2016) Matthew Biggerstaff et al.   BMC INFECTIOUS DISEASES

Marginal Bayesian nonparametric model for time to disease arrival of threatened amphibian populations

(2015) Haiming Zhou et al.   BIOMETRICS

Forecasting the 2013–2014 Influenza Season Using Wikipedia

(2015) Kyle S. Hickmann et al.   PLoS Computational Biology

Flexible Modeling of Epidemics with an Empirical Bayes Framework

(2015) Logan C. Brooks et al.   PLoS Computational Biology

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance

(2015) Mauricio Santillana et al.   PLoS Computational Biology

Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts

(2014) Rachel Lowe et al.   LANCET INFECTIOUS DISEASES

Influenza Forecasting in Human Populations: A Scoping Review

(2014) Jean-Paul Chretien et al.   PLoS One

Comparison of Filtering Methods for the Modeling and Retrospective Forecasting of Influenza Epidemics

(2014) Wan Yang et al.   PLoS Computational Biology

Risk of Dengue for Tourists and Teams during the World Cup 2014 in Brazil

(2014) Willem G. van Panhuis et al.   PLoS Neglected Tropical Diseases

A systematic review of studies on forecasting the dynamics of influenza outbreaks

(2013) Elaine O. Nsoesie et al.   Influenza and Other Respiratory Viruses

Modeling seasonality in space-time infectious disease surveillance data

(2012) Leonhard Held et al.   BIOMETRICAL JOURNAL

Cholera Modeling

(2012) Yonatan H. Grad et al.   EPIDEMIOLOGY

A review of copula models for economic time series

(2012) Andrew J. Patton   JOURNAL OF MULTIVARIATE ANALYSIS

Using Conditional Kernel Density Estimation for Wind Power Density Forecasting

(2012) Jooyoung Jeon et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Predicting the number of cases of dengue infection in Ribeirão Preto, São Paulo State, Brazil, using a SARIMA model

(2011) Edson Zangiacomi Martinez et al.   Cadernos de Saude Publica

A SARIMA forecasting model to predict the number of cases of dengue in Campinas, State of São Paulo, Brazil

(2011) Edson Zangiacomi Martinez et al.   Revista da Sociedade Brasileira de Medicina Tropical

Nonparametric Estimation of Conditional CDF and Quantile Functions With Mixed Categorical and Continuous Data

(2008) Qi Li et al.   JOURNAL OF BUSINESS & ECONOMIC STATISTICS

Multivariate modelling of infectious disease surveillance data

(2008) M. Paul et al.   STATISTICS IN MEDICINE