tag:joss.theoj.org,2005:/papers/tagged/Covariance%20MatricesJournal of Open Source Software2024-02-19T16:19:20ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/47052024-02-19T16:19:20Z2024-02-20T13:50:07Zkinisi: Bayesian analysis of mass transport from molecular dynamics simulationsaccepted0.7.02023-08-16 15:02:57 UTC942024-02-19 16:19:20 UTC920245984AndrewR.McCluskeyCentre for Computational Chemistry, School of Chemistry, University of Bristol, Cantock's Close, Bristol, BS8 1TS, United Kingdom, European Spallation Source ERIC, Ole Maaløes vej 3, 2200 København N, Denmark0000-0003-3381-5911AlexanderG.SquiresSchool of Chemistry, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom, The Faraday Institution, Quad One, Harwell Science and Innovation Campus, Didcot, OX11 0RA, United Kingdom0000-0001-6967-3690JoshDunnCentre for Computational Chemistry, School of Chemistry, University of Bristol, Cantock's Close, Bristol, BS8 1TS, United Kingdom0000-0003-2659-0806SamuelW.ColesDepartment of Chemistry, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom, The Faraday Institution, Quad One, Harwell Science and Innovation Campus, Didcot, OX11 0RA, United Kingdom0000-0001-9722-5676BenjaminJ.MorganDepartment of Chemistry, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom, The Faraday Institution, Quad One, Harwell Science and Innovation Campus, Didcot, OX11 0RA, United Kingdom0000-0002-3056-823310.21105/joss.05984https://doi.org/10.5281/zenodo.10651128Pythonhttps://joss.theoj.org/papers/10.21105/joss.05984.pdfmolecular dynamics, diffusion, covariance matrix, Bayesian regressiontag:joss.theoj.org,2005:Paper/26072021-07-26T17:03:18Z2023-10-09T15:38:04ZcvCovEst: Cross-validated covariance matrix estimator selection and evaluation in Raccepted3.5.02021-04-29 23:42:09 UTC632021-07-26 17:03:18 UTC620213273PhilippeBoileauGraduate Group in Biostatistics, University of California, Berkeley, Center for Computational Biology, University of California, Berkeley0000-0002-4850-2507NimaS.HejaziGraduate Group in Biostatistics, University of California, Berkeley, Center for Computational Biology, University of California, Berkeley0000-0002-7127-2789BrianCollicaDepartment of Statistics, University of California, Berkeley0000-0003-1127-2557MarkJ.van der LaanCenter for Computational Biology, University of California, Berkeley, Department of Statistics, University of California, Berkeley, Division of Biostatistics, School of Public Health, University of California, Berkeley0000-0003-1432-5511SandrineDudoitCenter for Computational Biology, University of California, Berkeley, Department of Statistics, University of California, Berkeley, Division of Biostatistics, School of Public Health, University of California, Berkeley0000-0002-6069-862910.21105/joss.03273https://doi.org/10.5281/zenodo.5132903Rhttps://joss.theoj.org/papers/10.21105/joss.03273.pdfcovariance matrix, cross-validation, high-dimensional statistics, loss-based estimation, multivariate analysistag:joss.theoj.org,2005:Paper/8082019-02-13T13:55:27Z2021-02-15T11:32:40ZHODLRlib: A Library for Hierarchical Matricesaccepted3.14152019-01-11 08:35:06 UTC342019-02-13 13:55:27 UTC420191167SivaramAmbikasaranDepartment of Mathematics, Indian Institute of Technology MadrasKaranRajSinghDepartment of Computational & Data Sciences, Indian Institute of ScienceShyamSundarSankaranDepartment of Mathematics, Indian Institute of Technology Madras10.21105/joss.01167https://doi.org/10.5281/zenodo.2561575C++, Pythonhttps://joss.theoj.org/papers/10.21105/joss.01167.pdfHierarchical Matrix, Fast Algorithms, Covariance Matrices, Gaussian Processes, Interpolation, Brownian Dynamics