Hao Wang

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All published works

Action	Title	Year	Authors
+	Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants	2021	Jacob de Nobel Hao Wang Thomas Bäck
+ PDF Chat	Efficient Gaussian graphical model determination under G-Wishart prior distributions	2012	Hao Wang Sophia Zhengzi Li

Common Coauthors

Coauthor	Papers Together
Jacob de Nobel	1
Sophia Zhengzi Li	1
Thomas Bäck	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	MCMC for doubly-intractable distributions	2012	Iain Murray Zoubin Ghahramani David Mackay	1
+	CMA-ES with Two-Point Step-Size Adaptation	2008	Nikolaus Hansen	1
+	APPROACHES FOR BAYESIAN VARIABLE SELECTION	1997	Edward I. George Robert E. McCulloch	1
+	A double Metropolis–Hastings sampler for spatial models with intractable normalizing constants	2009	Faming Liang	1
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	1
+	Partially Collapsed Gibbs Samplers	2008	David A. van Dyk Taeyoung Park	1
+	Markov Chain Monte Carlo in Practice: A Roundtable Discussion	1998	Robert E. Kass Bradley P. Carlin Andrew Gelman Radford M. Neal	1
+ PDF Chat	A Metropolis-Hastings based method for sampling from the G-Wishart distribution in Gaussian graphical models	2011	Nicholas Mitsakakis Hélène Massam Michael Escobar	1
+	Simulation of hyper-inverse Wishart distributions in graphical models	2007	Carla M. Carvalho Hélène Massam Michael L. West	1
+ PDF Chat	Experiments in Stochastic Computation for High-Dimensional Graphical Models	2005	Beatrix Jones Carlos M. Carvalho Adrian Dobra Chris Hans Chris Carter Mike West	1
+	Feature-Inclusion Stochastic Search for Gaussian Graphical Models	2008	James G. Scott Carlos Marinho Carvalho	1
+	Independence Structure of Natural Conjugate Densities to Exponential Families and the Gibbs' Sampler	2000	Mauro Piccioni	1
+	Copula Gaussian graphical models and their application to modeling functional disability data	2011	Adrian Dobra Alex Lenkoski	1
+ PDF Chat	Computational Aspects Related to Inference in Gaussian Graphical Models With the G-Wishart Prior	2010	Alex Lenkoski Adrian Dobra	1
+	On the Relationship Between Markov chain Monte Carlo Methods for Model Uncertainty	2001	Simon Godsill	1
+	Hyper Inverse Wishart Distribution for Non‐decomposable Graphs and its Application to Bayesian Inference for Gaussian Graphical Models	2002	Alberto Roverato	1
+ PDF Chat	Sparse covariance estimation in heterogeneous samples	2011	Abel Rodrìguez Alex Lenkoski Adrian Dobra	1
+	A Monte Carlo method for computing the marginal likelihood in nondecomposable Gaussian graphical models	2005	Aliye Atay-Kayis Hélène Massam	1
+ PDF Chat	Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data	2011	Adrian Dobra Alex Lenkoski Abel Rodrìguez	1
+ PDF Chat	Simulation of hyper-inverse Wishart distributions for non-decomposable graphs	2010	Hao Wang Carlos M. Carvalho	1
+	Sparse seemingly unrelated regression modelling: Applications in finance and econometrics	2010	Hao Wang	1
+	Decomposable graphical Gaussian model determination	1999	Paolo Giudici Peter J Green	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+ PDF Chat	Bayesian analysis of matrix normal graphical models	2009	H. Wang Michael L. West	1
+ PDF Chat	The CMA Evolution Strategy: A Tutorial	2005	Nikolaus Hansen	1
+	Distributed and parallel time series feature extraction for industrial big data applications	2016	Maximilian Christ Andreas W. Kempa-Liehr Michael Feindt	1
+ PDF Chat	Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package Flacco	2019	Pascal Kerschke Heike Trautmann	1
+ PDF Chat	Flexible covariance estimation in graphical Gaussian models	2008	Bala Rajaratnam Hélène Massam Carlos M. Carvalho	1
+ PDF Chat	Evolving the structure of Evolution Strategies	2016	Sander van Rijn Hao Wang Matthijs van Leeuwen Thomas Bäck	1
+ PDF Chat	Ward's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm	2011	Fionn Murtagh Pierre Legendre	1