Related references
Note: Only part of the references are listed.REML estimation with intrinsic Matern dependence in the spatial linear mixed model
Somak Dutta et al.
ELECTRONIC JOURNAL OF STATISTICS (2016)
Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
Alex Goldstein et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2015)
Malaria risk in Nigeria: Bayesian geostatistical modelling of 2010 malaria indicator survey data
Abbas B. Adigun et al.
MALARIA JOURNAL (2015)
Re-examining environmental correlates of Plasmodium falciparum malaria endemicity: a data-intensive variable selection approach
Daniel J. Weiss et al.
MALARIA JOURNAL (2015)
The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015
S. Bhatt et al.
NATURE (2015)
Probabilistic numerics and uncertainty in computations
Philipp Hennig et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2015)
Prioritising Infectious Disease Mapping
David M. Pigott et al.
PLOS NEGLECTED TROPICAL DISEASES (2015)
Does non-stationary spatial data always require non-stationary random fields?
Geir-Arne Fuglstad et al.
SPATIAL STATISTICS (2015)
An effective approach for gap-filling continental scale remotely sensed time-series
Daniel J. Weiss et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)
Air temperature suitability for Plasmodium falciparum malaria transmission in Africa 2000-2012: a high-resolution spatiotemporal prediction
Daniel J. Weiss et al.
MALARIA JOURNAL (2014)
Estimates of the changing age-burden of Plasmodium falciparum malaria disease in sub-Saharan Africa
Jamie T. Griffin et al.
NATURE COMMUNICATIONS (2014)
Correction: A World Malaria Map: Plasmodium falciparum Endemicity in 2007
Simon I Hay et al.
PLOS MEDICINE (2014)
The global distribution and burden of dengue
Samir Bhatt et al.
NATURE (2013)
Global mapping of infectious disease
Simon I. Hay et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES (2013)
A Few Useful Things to Know About Machine Learning
Pedro Domingos
COMMUNICATIONS OF THE ACM (2012)
Spatially Explicit Burden Estimates of Malaria in Tanzania: Bayesian Geostatistical Modeling of the Malaria Indicator Survey Data
Laura Gosoniu et al.
PLOS ONE (2012)
An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
Finn Lindgren et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2011)
A new world malaria map: Plasmodium falciparum endemicity in 2010
Peter W. Gething et al.
MALARIA JOURNAL (2011)
Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
Havard Rue et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2009)
The Variational Gaussian Approximation Revisited
Manfred Opper et al.
NEURAL COMPUTATION (2009)
A working guide to boosted regression trees
J. Elith et al.
JOURNAL OF ANIMAL ECOLOGY (2008)
HealthMap: Global infectious disease monitoring through automated classification and visualization of Internet media reports
Clark C. Freifeld et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2008)
Super learner
Mark J. van der Laan et al.
STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY (2007)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
Statics and dynamics of malaria infection in Anopheles mosquitoes
DL Smith et al.
MALARIA JOURNAL (2004)
Stochastic gradient boosting
JH Friedman
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)
Greedy function approximation: A gradient boosting machine
JH Friedman
ANNALS OF STATISTICS (2001)