Below you find a list of methods applied by users of this platform. Clicking on the name will bring you to a description of the method. You can search through the database by name, user, and tags. Register your own methods on My Results!
| Name | User | Tags | URL Code |
|---|---|---|---|
| correlation | Causeme | Linear, time series, non-conditional | https://jakobrunge.github.... |
| adaptive-lasso | Causeme | Linear, time delays, high-dimensional | None |
| mutual-information | Causeme | Time delays, nonlinear, non-conditional | https://jakobrunge.github.... |
| FullCI-ParCorr | Causeme | Linear, time delays | https://jakobrunge.github.... |
| FullCI-GPDC | Causeme | Time delays, nonlinear | https://jakobrunge.github.... |
| PCMCI-ParCorr | Causeme | Linear, time delays, autocorrelation, high-dimensional | https://jakobrunge.github.... |
| varmodel | Causeme | Linear, time series | https://www.statsmodels.or... |
| distance-correlation | Causeme | Time delays, nonlinear, non-conditional | https://jakobrunge.github.... |
| FullCI-CMIknn | Causeme | Time delays, nonlinear | https://jakobrunge.github.... |
| PCMCI-GPDC | Causeme | Time delays, nonlinear, autocorrelation, high-dimensional | https://jakobrunge.github.... |
| varmodel-python | Liyibo | Linear, time series | https://www.statsmodels.or... |
| varmodel | Isp | Linear, time series | https://www.statsmodels.or... |
| var_model | Jozerozero | ||
| test_2 | Jozerozero | ||
| test | Chenwei | ||
| louis-test0 | Louischan | Varmodel | |
| louis-test1 | Louischan | Transfer entropy | |
| VAR | Liting huang | ||
| VAR | Liting huang | ||
| VAR | Liting huang | ||
| my_first_method | Liting huang | ||
| my_second_method | Liting huang | ||
| PCMCI-parcorr | Liting huang | ||
| zhu_method_1 | Zhu renbo | ||
| pcmci-parcorr | Liting huang | ||
| PCMCI-parcorr-3 | Liting huang | ||
| PCMCI-CMlknn-3 | Liting huang | ||
| test_5 | Bcause | ||
| Test | Spitis | ||
| test project | Umang | ||
| undercover | Copenhagen causality lab | ||
| pcmci_var | Aakrmit | ||
| weath_method1 | Aakrmit | ||
| weath_method2 | Aakrmit | ||
| HybridTwoPhaseEnsemble | Peiguo1 | Nonlinear, time delays, high-dimensional | |
| AlgoEnsemble | Peiguo1 | Nonlinear, time delays, high-dimensional, hybrid | |
| test | Bart bussmann | ||
| eGC | Mapefast | ||
| linue | Mapefast | ||
| KGC | Mapefast | Kernel type, polynomial degree or sigmoid width, model order | https://github.com/daniele... |
| msgc | Mapefast | State spage; granger causality | http://www.lucafaes.net/ms... |
| PCGC_cov | Mapefast | Conditioning_subset, model order | https://www.ncbi.nlm.nih.g... |
| pcgc | Mapefast | ||
| nnnue | Mapefast | ||
| nnue | Mapefast | ||
| binnue | Mapefast | ||
| binue | Mapefast | ||
| linnue | Mapefast | ||
| neunetue | Mapefast | ||
| neunetneu | Mapefast | ||
| nnnuela1 | Mapefast | ||
| nnnuela2 | Mapefast | ||
| nnnue_concat | Mapefast | ||
| D2C | Gianluca bontempi | ||
| VAR Test | Cbmitchell | ||
| PCMCI-GPDC | Cbmitchell | ||
| TCDF_test | Cbmitchell | ||
| hhtVAR | Yiyu li | ||
| hht_pcmci_CMIknn | Yiyu li | ||
| hht_pcmci_Parr | Yiyu li | ||
| EDPP | Yiyu li | ||
| pan | Kahaaga | ||
| LASSO | Yuri.antonacci | ||
| Causal Net | Bcause | ||
| slarac | Sweichwald | https://github.com/sweichw... | |
| selvar | Gherardo | Linear, var, selection, tidybench | https://github.com/sweichw... |
| lasar | Sweichwald | https://github.com/sweichw... | |
| Sparse-ID | Mapefast | ||
| Test1 | F. simon | ||
| Test2 | F. simon | ||
| NAVAR | Bcause | https://github.com/bartbus... | |
| slarac_test | Bcause | ||
| test | Praviva | ||
| tcdf_test | Ayses_ | ||
| pcmci_lazy | Thiessenh | ||
| my_first_test | Jogi95 | ||
| my_first_pcmci | Jogi95 | ||
| my_second_test | Jogi95 | ||
| PCMCI-ParCorr | Hdluis13 | Linear, time delays, autocorrelation, high-dimensional | https://jakobrunge.github.... |
| first_pcmci_working | Jogi95 | ||
| first_fullci | Jogi95 | ||
| first_selvar reused | Jogi95 | ||
| river_selvar | Jogi95 | ||
| selvar_noisy | Jogi95 | ||
| linear-VAR | Christian petrov | ||
| PCMCI-ParCorr | Christian petrov | ||
| tcdf_default | Thiessenh | ||
| test_pcmci | Mfriedrich9951 | ||
| pcmci_fdr_bh | Thiessenh | ||
| test_methode | Lennards | ||
| PCMCI-CMIknn | Causeme | Time delays, nonlinear, autocorrelation, high-dimensional | https://jakobrunge.github.... |
| TCDF | Wibeck | ||
| test_tigramite | Updud_ | ||
| test_tcdf | Updud_ | ||
| PCMCI | Updud_ | Time delays, nonlinear, autocorrelation, high-dimensional | https://jakobrunge.github.... |
| test_tcdf | Mfriedrich9951 | ||
| 1st_experiment | Xiaoyao | ||
| TCDF_standard | Kasdjklvspi | ||
| RTransferEntropy | Gerdome | ||
| linear-var-R | Gerdome | ||
| slarac | Christian petrov | ||
| TCDF | Robinka | ||
| selvar | Christian petrov | ||
| Xavi's super method | Xtibau | ||
| TEst 2 | Xtibau | ||
| True_model | Causeme | ||
| python_example_code | Ckaeding | ||
| slarac | Chenwei | ||
| LASAR | Chenwei | ||
| SELVAR | Chenwei | ||
| Neural_GC | Chenwei | ||
| varmodel | Jbcauseme | Linear, time series | https://www.statsmodels.or... |
| jackcai_test1 | Jackcai | ||
| ANM-bSCMC | Kaeding | ||
| varmodel | Brhns | Linear, time series | https://www.statsmodels.or... |
| test please ignore | Vcabeli | ||
| 2X | Mariano maisonnave | ||
| nn_cause | Manelsoler | ||
| LSTM | Manelsoler | ||
| Elasnet | Manelsoler | ||
| varm | Jordi | ||
| test1 | Tianxiong xie | ||
| linear_var | Jordi cerdà | https://www.statsmodels.or... | |
| granger2d | Jordi cerdà | https://www.statsmodels.or... | |
| pcmci | Jordi cerdà | https://github.com/jakobru... | |
| graphem | Jordi cerdà | ||
| votacion3 | Mariano maisonnave | ||
| votacion4 | Mariano maisonnave | ||
| VARNN | Mariano maisonnave | ||
| MVARNN | Mariano maisonnave | ||
| MVARNN_LSTM | Mariano maisonnave | ||
| MVARNN_compl_dense | Mariano maisonnave | ||
| pcgam | Zhantinghua | ||
| EMR0 | Olivier de viron | ||
| EMR1 | Olivier de viron | ||
| test_method | Wtglad | ||
| my_first_method | Shokoufeh pourshahabi | ||
| sortnregress | 2cleveragent | Regression, bic, sorting, variance, baseline, exploit | |
| sortnregress | 2cleveragent | Regression, bic, sorting, variance, baseline, exploit | |
| pcmci-python | Achowfiggins | ||
| pcmci-python | Achowfiggins | ||
| pcmci+-python | Achowfiggins | ||
| pcmci-python | Achowfiggins | ||
| pcmci-python | Achowfiggins | ||
| pcmci-python-river-runoff | Achowfiggins | ||
| pcmci+-python-river-runoff | Achowfiggins | ||
| tcdf-python | Achowfiggins | ||
| slarac-python | Achowfiggins | ||
| tcdf-river-runoff | Achowfiggins | ||
| copula-river-runoff | Achowfiggins | ||
| lasso-river-runoff | Achowfiggins | ||
| lingam-river-runoff | Achowfiggins | ||
| tidybench-river-runoff | Achowfiggins | ||
| ensemble-river-runoff | Achowfiggins | Maxlag=3 | |
| MVGC toolbox | Cr2g16 | ||
| Example Method | Cr2g16 | ||
| MVGC_GCCA | Cr2g16 | ||
| first_method | Ren ren | ||
| ensemble_union | Mariano maisonnave | ||
| ensemble_intersection | Mariano maisonnave | ||
| testing | Louise slater | ||
| first_method | Gpaldino | ||
| second_method | Gpaldino | ||
| neuro-pc-1 | Rahul.b | ||
| PCMCI-GPDC | Rahul.b | ||
| PC | Rahul.b | ||
| GC | Rahul.b | ||
| h_MVGC0 | Hkarami1996 | ||
| my_PCMCI_exploration | Creiser | ||
| h_GC | Hkarami1996 | ||
| cvx-joint-VAR | Parinthorn | Linear, autocorrelation, time delays, high-dimensional | https://github.com/parinth... |
| cvx-joint-VAR | Parinthorn | Linear, autocorrelation, time delays, high-dimensional | https://github.com/parinth... |
| ncvx-joint-VAR | Parinthorn | Linear, autocorrelation, time delays, high-dimensional | https://github.com/parinth... |
| test | Xukeqin | ||
| nnnn | Wtdjy | ||
| nnnn | Wtdjy | ||
| MTE | Wqqq7 | ||
| CTE | Wqqq7 | Nonlinear,time delay | |
| new_CTE | Wqqq7 | Nonlinear,time delay | |
| 20220626 | Wtdjy | ||
| CORL | Wtdjy | ||
| ensemble_model | Manuel castro | ||
| VAR method | Manuel castro | ||
| 精精有味 | Wanhan | ||
| test_slarac | Manuel castro | ||
| test_selvar | Manuel castro | ||
| tidybench | Wtdjy | ||
| SELF | Wtdjy | ||
| causeme | Wtdjy | ||
| pcmci | Achowfiggins | ||
| lasso | Achowfiggins | ||
| copula | Achowfiggins | ||
| tcdf | Achowfiggins | ||
| lingam | Achowfiggins | ||
| slarac | Achowfiggins | ||
| ensemble | Achowfiggins | ||
| FDGM | Lantian72 | ||
| test | Steven mortier | ||
| slarac_for_test | Zhenhan | ||
| slarac_for_test | Zhenhan | ||
| selvar for test | Zhenhan | Test | |
| NAVAR-TCN | Maurinvoshol | Navar, tcn, causal discovery | |
| tsci | Rahul.b | ||
| selvar for test | Zhenhan | Test | |
| graphem-matlab | Chouzeno | https://pages.saclay.inria... | |
| MLEM | Chouzeno | https://pages.saclay.inria... | |
| dglasso | Chouzeno | ||
| dPCMCI+ (15 clusters) (ParCorr) | Al4518 | ||
| PCMCI+ (ParCorr) | Al4518 | ||
| dPCMCI+ (5 clusters) (ParCorr) | Al4518 | ||
| dPCMCI+ (10 clusters) (ParCorr) | Al4518 | ||
| dynotears | Yang tan | https://github.com/quantum... | |
| dynotears-v2 | Yang tan | https://github.com/googleb... | |
| notears+lasso | Yang tan | https://github.com/googleb... | |
| graphnotears | Yang tan | https://github.com/googleb... | |
| grbf_gc | Evera | ||
| slarac_ty | Yang tan | ||
| qrbs_ty | Yang tan | ||
| dynotears-v3 | Yang tan | ||
| var_gc | Evera | ||
| notears | Yang tan | ||
| slarac+notears | Yang tan | ||
| d2c_basic | Gpaldino | ||
| notearsori | Yang tan | ||
| nonlin_notearsori | Yang tan | ||
| TAMCaD | Maurinvoshol | https://github.com/m4urin/... | |
| my_first_method | Yubing | ||
| BMS4CG | Rguimera | ||
| CommonEra_Indices | Darren ray | ||
| ANM-bSCMC | Kaedingrunge | ||
| CGNN-bSCMC | Kaedingrunge | ||
| EMD-bSCMC | Kaedingrunge | ||
| GPI-bSCMC | Kaedingrunge | ||
| IGCI-bSCMC | Kaedingrunge | ||
| Jarfo-bSCMC | Kaedingrunge | ||
| LiNGAM-bSCMC | Kaedingrunge | ||
| NLME-bSCMC | Kaedingrunge | ||
| PNL-bSCMC | Kaedingrunge | ||
| QCCD-bSCMC | Kaedingrunge | ||
| RCC-bSCMC | Kaedingrunge | ||
| RECI-bSCMC | Kaedingrunge | ||
| SLOPE-bSCMC | Kaedingrunge | ||
| SLOPPY-bSCMC | Kaedingrunge | ||
| CD4CO | 2023causaeme | ||
| my_method | Guyue | ||
| my_method_2 | Guyue | ||
| my_method_03 | Guyue | ||
| d2cpy | Gpaldino | Information-theory, classification, asymmetric | |
| granger_d2c | Gpaldino | ||
| pcmci_d2c | Gpaldino | ||
| var_d2c | Gpaldino | ||
| varlingam_d2c | Gpaldino | ||
| dynotears_d2c | Gpaldino | ||
| tdaggnn | Rahul.b | ||
| daggnn | Rahul.b | ||
| Method_1 | Riya mahesh | ||
| Method1_by_jhaya_lavannyah | Mayakuntla jhaya lavannyah | ||
| holtwinter | Aitana conejero soler | Holt-winters, time series, sales forecasting, seasonal model, product popularity, python | |
| Prueba | Aitana conejero soler | ||
| demo_method | Daiguoxian29 | ||
| neural_network_LeKVAR_1 | Mayakuntla jhaya lavannyah | ||
| neural_network_CTLSTM_1 | Mayakuntla jhaya lavannyah | ||
| GC_with_neural_networks_CTLSTM_2 | Mayakuntla jhaya lavannyah | ||
| GC_with_neural_networks_LeKVAR_2 | Mayakuntla jhaya lavannyah | ||
| GC_with_neural_networks_LeKVAR_3 | Mayakuntla jhaya lavannyah | ||
| LASAR | Mayakuntla jhaya lavannyah | ||
| PCMCI-ParCorr | Daiguoxian29 | ||
| PCMCI-CMIknn | Daiguoxian29 | ||
| slarac | Daiguoxian29 | ||
| VARLiNGAM | Daiguoxian29 | ||
| neural_network_LeKVAR_300_rounds | Mayakuntla jhaya lavannyah | ||
| LeKVAR_300 | Mayakuntla jhaya lavannyah | ||
| CTLSTM_200_hidden_dim_10 | Mayakuntla jhaya lavannyah | ||
| CTLSTMwF_200_hidden_dim_10 | Mayakuntla jhaya lavannyah | ||
| DirectLiNGAM | Daiguoxian29 | ||
| LeKVAR_500 | Mayakuntla jhaya lavannyah | ||
| selvar | Daiguoxian29 | ||
| my_first_method | Camenty | ||
| GC | Zak tourville | ||
| DDA C*E | Zak tourville | ||
| TE | Zak tourville | ||
| my-first-test-python | Kasdjklvspi | Autocorrelation, time delays, linear | |
| TCDF | Kasdjklvspi | ||
| newheny | Wenli liu | ||
| VAR_model | Chenwei | ||
| qrbs | Chenwei | ||
| cdts | Rguo12 | ||
| Random | Mariano maisonnave | ||
| PCMCI | Mariano maisonnave | ||
| PC | Mariano maisonnave | ||
| DirectLiNGAM | Mariano maisonnave | ||
| VAR | Mariano maisonnave | ||
| PCVAR | Mariano maisonnave | ||
| PCDLINGAM | Mariano maisonnave | ||
| votacion1 | Mariano maisonnave | ||
| votacion2 | Mariano maisonnave |