mostly case changes in bib

Author: danielskatz

paper/paper.bib

@@ -31,14 +31,14 @@ @Article{Kurtz2019
 doi = {10.1101/2019.12.21.885889},
 journal = {bioRxiv},
 pages = {2019.12.21.885889},
-title = {{Disentangling microbial associations from hidden environmental and technical factors via latent graphical models}},
+title = {Disentangling microbial associations from hidden environmental and technical factors via latent graphical models},
 url = {https://www.biorxiv.org/content/10.1101/2019.12.21.885889v1.abstract},
 year = {2019}
 }
 
 @Article{Laska2017,
 author = {Jason Laska and Manjari Narayan},
-title = {{skggm 0.2.7: A scikit-learn compatible package for Gaussian and related Graphical Models}},
+title = {skggm 0.2.7: A scikit-learn compatible package for {G}aussian and related Graphical Models},
 month = jul,
 year = 2017,
 publisher = {Zenodo},
@@ -49,9 +49,8 @@ @Article{Laska2017
 @Article{Banerjee2008,
 author = {Banerjee, Onureena and {El Ghaoui}, Laurent and D'Aspremont, Alexandre},
 journal = {J. Mach. Learn. Res.},
-keywords = {binary data,convex optimization,gaussian,graphical model,maximum likelihood estimation,model selection},
 pages = {485--516},
-title = {{Model selection through sparse maximum likelihood estimation for multivariate gaussian or binary data}},
+title = {Model selection through sparse maximum likelihood estimation for multivariate {G}aussian or binary data},
 url = {http://dl.acm.org/citation.cfm?id=1390696},
 volume = {9},
 year = {2008}
@@ -62,7 +61,7 @@ @Article{Friedman2007
   journal   = {Biostatistics},
   title     = {Sparse inverse covariance estimation with the graphical lasso},
   year      = {2007},
-  month     = {dec},
+  month     = dec,
   number    = {3},
   pages     = {432--441},
   volume    = {9},
@@ -75,7 +74,7 @@ @Article{Yuan2007
   journal   = {Biometrika},
   title     = {Model selection and estimation in the {G}aussian graphical model},
   year      = {2007},
-  month     = {feb},
+  month     = feb,
   number    = {1},
   pages     = {19--35},
   volume    = {94},
@@ -88,7 +87,7 @@ @Article{Danaher2013
   journal   = {J. R. Stat. Soc. B},
   title     = {The joint graphical lasso for inverse covariance estimation across multiple classes},
   year      = {2013},
-  month     = {aug},
+  month     = aug,
   number    = {2},
   pages     = {373--397},
   volume    = {76},
@@ -108,9 +107,9 @@ @Book{Lauritzen1996
 @Article{Kurtz2015,
   author    = {Zachary D. Kurtz and Christian L. Müller and Emily R. Miraldi and Dan R. Littman and Martin J. Blaser and Richard A. Bonneau},
   journal   = {{PLOS} Computational Biology},
-  title     = {Sparse and {C}ompositionally {R}obust {I}nference of {M}icrobial {E}cological {N}etworks},
+  title     = {Sparse and Compositionally Robust Inference of Microbial Ecological Networks},
   year      = {2015},
-  month     = {may},
+  month     = may,
   number    = {5},
   pages     = {e1004226},
   volume    = {11},
@@ -123,9 +122,9 @@ @Article{Kurtz2015
 @Article{Ma2013,
   author    = {Shiqian Ma and Lingzhou Xue and Hui Zou},
   journal   = {Neural Comput.},
-  title     = {Alternating {D}irection {M}ethods for {L}atent {V}ariable {G}aussian {G}raphical {M}odel {S}election},
+  title     = {Alternating Direction Methods for Latent Variable {G}aussian Graphical Model Selection},
   year      = {2013},
-  month     = {aug},
+  month     = aug,
   number    = {8},
   pages     = {2172--2198},
   volume    = {25},
@@ -136,19 +135,19 @@ @Article{Ma2013
 @InProceedings{Tomasi2018,
   author    = {Federico Tomasi and Veronica Tozzo and Saverio Salzo and Alessandro Verri},
   booktitle = {Proceedings of the 24th {ACM} {SIGKDD} International Conference on Knowledge Discovery {\&} Data Mining},
-  title     = {Latent {V}ariable {T}ime-varying {N}etwork {I}nference},
+  title     = {Latent Variable Time-varying Network Inference},
   year      = {2018},
-  month     = {jul},
+  month     = jul,
   publisher = {{ACM}},
   doi       = {10.1145/3219819.3220121},
 }
 
 @InProceedings{Hallac2017,
   author    = {David Hallac and Youngsuk Park and Stephen Boyd and Jure Leskovec},
   booktitle = {Proceedings of the 23rd {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining},
-  title     = {Network {I}nference via the {T}ime-{V}arying {G}raphical {L}asso},
+  title     = {Network Inference via the Time-Varying Graphical Lasso},
   year      = {2017},
-  month     = {aug},
+  month     = aug,
   publisher = {{ACM}},
   doi       = {10.1145/3097983.3098037},
 }
@@ -158,7 +157,7 @@ @Article{Chandrasekaran2012
   journal   = {Ann. Statist.},
   title     = {Latent variable graphical model selection via convex optimization},
   year      = {2012},
-  month     = {aug},
+  month     = aug,
   number    = {4},
   pages     = {1935--1967},
   volume    = {40},
@@ -169,14 +168,14 @@ @Article{Chandrasekaran2012
 @Misc{Schaipp2020,
   author       = {Fabian Schaipp},
   howpublished = {\url{https://github.com/fabian-sp/GGLasso}},
-  title        = {G{G}{L}asso: implementation of algorithms for Single and Multiple Graphical Lasso problems},
+  title        = {{GGL}asso: implementation of algorithms for Single and Multiple Graphical Lasso problems},
   year         = {2020},
 }
 
 @Misc{Friedman2019,
   author       = {Jerome Friedman and Trevor Hastie and Rob Tibshirani},
   howpublished = {\url{ https://CRAN.R-project.org/package=glasso}},
-  title        = {Graphical Lasso: Estimation of Gaussian Graphical Models},
+  title        = {Graphical Lasso: Estimation of {G}aussian Graphical Models},
   year         = {2019},
 }
 
@@ -193,7 +192,7 @@ @Misc{Danaher2018
 @Article{Pedregosa2011,
   author  = {Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
   journal = {J Mach Learn Res},
-  title   = {Scikit-learn: {M}achine {L}earning in {P}ython},
+  title   = {Scikit-learn: Machine Learning in {P}ython},
   year    = {2011},
   pages   = {2825--2830},
   volume  = {12},
@@ -205,7 +204,7 @@ @Article{Simon2013
   journal   = {J. Comput. Graph. Statist.},
   title     = {A {S}parse-{G}roup {L}asso},
   year      = {2013},
-  month     = {apr},
+  month     = apr,
   number    = {2},
   pages     = {231--245},
   volume    = {22},
@@ -216,7 +215,7 @@ @Article{Simon2013
 @InProceedings{Tozzo2020,
   author    = {Tozzo, Veronica and Barla, Annalisa},
   booktitle = {Complex Networks and Their Applications VIII},
-  title     = {Multi-parameters {M}odel {S}election for {N}etwork {I}nference},
+  title     = {Multi-parameters Model Selection for Network Inference},
   year      = {2020},
   address   = {Cham},
   editor    = {Cherifi, Hocine and Gaito, Sabrina and Mendes, Jos{\'e} Fernendo and Moro, Esteban and Rocha, Luis Mateus},
@@ -231,7 +230,7 @@ @InProceedings{Tozzo2020
 @Article{Boyd2011,
   author     = {Boyd, Stephen and Parikh, Neal and Chu, Eric and Peleato, Borja and Eckstein, Jonathan},
   journal    = {Found. Trends Mach. Learn.},
-  title      = {Distributed {O}ptimization and {S}tatistical {L}earning via the {A}lternating {D}irection {M}ethod of {M}ultipliers},
+  title      = {Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers},
   year       = {2011},
   issn       = {1935-8237},
   month      = jan,
@@ -249,7 +248,7 @@ @Article{Boyd2011
 @Article{Zhang2020,
   author   = {Zhang, Yangjing and Zhang, Ning and Sun, Defeng and Toh, Kim-Chuan},
   journal  = {SIAM J. Optim.},
-  title    = {A proximal point dual {N}ewton algorithm for solving group graphical {L}asso problems},
+  title    = {A proximal point dual {N}ewton algorithm for solving group graphical Lasso problems},
   year     = {2020},
   issn     = {1052-6234},
   number   = {3},
@@ -264,7 +263,7 @@ @Article{Zhang2020
 @Article{Witten2011,
   author    = {Daniela M. Witten and Jerome H. Friedman and Noah Simon},
   journal   = {J. Comput. Graph. Statist.},
-  title     = {New {I}nsights and {F}aster {C}omputations for the {G}raphical {L}asso},
+  title     = {New Insights and Faster Computations for the Graphical Lasso},
   year      = {2011},
   number    = {4},
   pages     = {892-900},
@@ -278,7 +277,7 @@ @Article{Witten2011
 @InProceedings{Foygel2010,
   author    = {Foygel, Rina and Drton, Mathias},
   booktitle = {Advances in Neural Information Processing Systems},
-  title     = {Extended {B}ayesian {I}nformation {C}riteria for {G}aussian {G}raphical {M}odels},
+  title     = {Extended {B}ayesian Information Criteria for {G}aussian Graphical Models},
   year      = {2010},
   editor    = {J. Lafferty and C. Williams and J. Shawe-Taylor and R. Zemel and A. Culotta},
   publisher = {Curran Associates, Inc.},
@@ -289,7 +288,7 @@ @InProceedings{Foygel2010
 @Article{Hsieh2014,
   author     = {Hsieh, Cho-Jui and Sustik, M\'{a}ty\'{a}s A. and Dhillon, Inderjit S. and Ravikumar, Pradeep},
   journal    = {J. Mach. Learn. Res.},
-  title      = {Q{UIC}: quadratic approximation for sparse inverse covariance estimation},
+  title      = {{QUIC}: quadratic approximation for sparse inverse covariance estimation},
   year       = {2014},
   issn       = {1532-4435},
   pages      = {2911--2947},