Jacob Helwig

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All published works

Action	Title	Year	Authors
+ PDF Chat	Algorithm 1045: A Covariate-Dependent Approach to Gaussian Graphical Modeling in R	2024	Jacob Helwig Sutanoy Dasgupta Peng Zhao Bani K. Mallick Debdeep Pati
+	An Approximate Bayesian Approach to Covariate-dependent Graphical Modeling	2023	Sutanoy Dasgupta Peng Zhao Jacob Helwig Prasenjit Ghosh Debdeep Pati Bani K. Mallick

Common Coauthors

Coauthor	Papers Together
Sutanoy Dasgupta	2
Debdeep Pati	2
Bani K. Mallick	2
Peng Zhao	2
Prasenjit Ghosh	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Scalable Variational Inference for Bayesian Variable Selection in Regression, and Its Accuracy in Genetic Association Studies	2012	Peter Carbonetto Matthew Stephens	1
+ PDF Chat	Joint Estimation of Multiple Graphical Models from High Dimensional Time Series	2015	Huitong Qiu Fang Han Han Liu Brian Caffo	1
+	Bayesian Variable Selection in Linear Regression	1988	Toby J. Mitchell John J. Beauchamp	1
+ PDF Chat	On Bandwidth Variation in Kernel Estimates-A Square Root Law	1982	Ian Abramson	1
+ PDF Chat	Bayesian Inference of Multiple Gaussian Graphical Models	2014	Christine B. Peterson Francesco C. Stingo Marina Vannucci	1
+	Independencies Induced from a Graphical Markov Model after Marginalization and Conditioning: The<i>R</i>Package<b>ggm</b>	2006	Giovanni M. Marchetti	1
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	1
+ PDF Chat	The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes	2013	Patrick Danaher Pei Wang Daniela Witten	1
+	Estimation of multiple networks in Gaussian mixture models	2016	Chen Gao Yunzhang Zhu Xiaotong Shen Wei Pan	1
+	Simultaneous Clustering and Estimation of Heterogeneous Graphical Models	2016	Botao Hao Will Wei Sun Yufeng Liu Guang Cheng	1
+	Bayesian Graphical Regression	2017	Yang Ni Francesco C. Stingo Veerabhadran Baladandayuthapani	1
+	Statistical Analysis of Non-Lattice Data	1975	Julian Besag	1
+	Quasi-Bayesian estimation of large Gaussian graphical models	2019	Yves F. Atchadé	1
+	Estimating Time-Varying Graphical Models	2019	Jilei Yang Jie Peng	1
+ PDF Chat	NExUS: Bayesian simultaneous network estimation across unequal sample sizes	2019	Priyam Das Christine B. Peterson Kim‐Anh Do Rehan Akbani Veerabhadran Baladandayuthapani	1
+ PDF Chat	<b>mgm</b>: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data	2020	Jonas M B Haslbeck Lourens Waldorp	1
+ PDF Chat	BGGM: Bayesian Gaussian Graphical Models in R	2020	Donald R. Williams Joris Mulder	1
+	Gaussian graphical model‐based heterogeneity analysis via penalized fusion	2021	Mingyang Ren Sanguo Zhang Qingzhao Zhang Shuangge Ma	1
+	High-Dimensional Gaussian Graphical Regression Models with Covariates	2022	Jingfei Zhang Yi Li	1
+	varbvs: Fast Variable Selection for Large-scale Regression	2017	Peter Carbonetto Xiang Zhou Matthew Stephens	1
+	Regularization Paths for Generalized Linear Models via Coordinate Descent	2010	Jerome H. Friedman Trevor Hastie Robert Tibshirani	1
+	An Approximate Bayesian Approach to Covariate-dependent Graphical Modeling	2023	Sutanoy Dasgupta Peng Zhao Jacob Helwig Prasenjit Ghosh Debdeep Pati Bani K. Mallick	1
+	Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure.	2022	Yang Ni Francesco C. Stingo Veerabhadran Baladandayuthapani	1