tag:joss.theoj.org,2005:/papers/tagged/Time%20Series%20Analysis?page=2Journal of Open Source Software2020-05-10T12:21:06ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/15842020-05-10T12:21:06Z2021-02-15T11:30:53ZMPA: a novel cross-language API for time series analysisacceptedMisc (multiple repos)2020-03-10 17:31:10 UTC492020-05-10 12:21:06 UTC520202179AndrewH.Van BenschotenMatrix Profile Foundation0000-0002-7944-6237AustinOuyangMatrix Profile FoundationFranciscoBischoffMatrix Profile Foundation, MEDCIDS-FMUP, AI4HEALTH-CINTESIS0000-0002-5301-8672TylerW.MarrsMatrix Profile Foundation0000-0002-4309-560710.21105/joss.02179https://doi.org/10.5281/zenodo.3789780https://joss.theoj.org/papers/10.21105/joss.02179.pdfPython, R, Golang, Time Series, Machine Learning, Data Sciencetag:joss.theoj.org,2005:Paper/12322019-11-20T18:18:29Z2021-02-15T11:31:34Zmemochange: An R package for estimation procedures and tests for persistent time seriesacceptedv1.0.12019-09-24 21:01:18 UTC432019-11-20 18:18:29 UTC420191820KaiWengerInstitute of Statistics, Leibniz University Hannover0000-0002-6566-0427JanisBeckerInstitute of Statistics, Leibniz University Hannover0000-0001-5104-633010.21105/joss.01820https://doi.org/10.5281/zenodo.3543826Rhttps://joss.theoj.org/papers/10.21105/joss.01820.pdftime series analysis, long memory, structural change, breaks in persistencetag:joss.theoj.org,2005:Paper/5752019-10-01T16:20:58Z2021-02-15T11:33:08ZComet Time Series Visualizer: CometTSacceptedv1.02018-07-31 17:17:16 UTC422019-10-01 16:20:58 UTC420191047JacobShermeyerCosmiQ Works, In-Q-Tel0000-0002-8143-279010.21105/joss.01047https://doi.org/10.5281/zenodo.3418091Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.01047.pdfVisualizer, Remote Sensing, Time Series Analysistag:joss.theoj.org,2005:Paper/10242019-07-18T12:24:18Z2021-02-15T11:32:07ZSTUMPY: A Powerful and Scalable Python Library for Time Series Data Miningacceptedv1.02019-06-03 20:50:31 UTC392019-07-18 12:24:18 UTC420191504SeanM.LawTD Ameritrade0000-0003-2594-196910.21105/joss.01504https://doi.org/10.5281/zenodo.3340125Pythonhttps://joss.theoj.org/papers/10.21105/joss.01504.pdftime series analysis, data science, anomaly detection, pattern matching, machine learningtag:joss.theoj.org,2005:Paper/8522019-05-12T12:26:15Z2021-02-15T11:32:32ZSkyPortal: An Astronomical Data Platformaccepted1.02019-02-09 00:52:54 UTC372019-05-12 12:26:15 UTC420191247StéfanJ.van der WaltBerkeley Institute for Data Science, University of California, Berkeley0000-0001-9276-1891ArienCrellin-QuickDepartment of Astronomy, University of California, Berkeley0000-0002-7183-0410JoshuaS.BloomDepartment of Astronomy, University of California, Berkeley0000-0002-7777-216X10.21105/joss.01247https://doi.org/10.5281/zenodo.2742377Python, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.01247.pdfweb, astronomy, time-series, visualization, analysis, datatag:joss.theoj.org,2005:Paper/7602019-05-03T12:05:14Z2021-02-15T11:32:42Zdlmmc: Dynamical linear model regression for atmospheric time-series analysisacceptedv1.0.02018-12-21 13:55:55 UTC372019-05-03 12:05:14 UTC420191157JustinA.AlsingOskar Klein Center for Cosmoparticle Physics, Stockholm University, Stockholm, Center for Computational Astrophysics, Flatiron Institute, New York, Imperial Centre for Inference and Cosmology, Imperial College London, London0000-0003-4618-354610.21105/joss.01157https://doi.org/10.5281/zenodo.2660704Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.01157.pdfpython, stratospheric ozone, atmospheric time-series, time-series analysistag:joss.theoj.org,2005:Paper/8562019-04-17T23:22:20Z2021-02-15T11:32:32ZNeuroDSP: A package for neural digital signal processingacceptedv1.0.02019-02-13 21:01:30 UTC362019-04-17 23:22:20 UTC420191272ScottColeNeurosciences Graduate Program, UC San Diego0000-0002-6168-9951ThomasDonoghueDepartment of Cognitive Science, UC San Diego0000-0001-5911-0472RichardGaoDepartment of Cognitive Science, UC San Diego0000-0001-5916-6433BradleyVoytekNeurosciences Graduate Program, UC San Diego, Department of Cognitive Science, UC San Diego, Halıcıoğlu Data Science Institute, UC San Diego, Kavli Institute for Brain and Mind, UC San Diego0000-0003-1640-252510.21105/joss.01272https://doi.org/10.5281/zenodo.2643784Pythonhttps://joss.theoj.org/papers/10.21105/joss.01272.pdfneuroscience, digital signal processing, DSP, filtering, time series analysis, electrophysiology, local field potentials, electroencephalography, EEG, magnetoencephalography, MEGtag:joss.theoj.org,2005:Paper/4432018-04-20T00:20:28Z2021-02-15T11:33:32Zautoplotly: An R package for automatic generation of interactive visualizations for statistical resultsacceptedv0.1.12018-03-20 15:21:27 UTC242018-04-20 00:20:28 UTC32018657YuanTangH2O.ai0000-0001-5243-233X10.21105/joss.00657https://doi.org/10.5281/zenodo.1221391Rhttps://joss.theoj.org/papers/10.21105/joss.00657.pdfinteractive data visualization, statistics, time series, survival analysis, clustering, machine learning