OpenSuSE Tumbleweed for x86_64 : / usr /share /doc /packages /python313-statsmodels /examples /notebooks

• autoregressions.ipynb
• autoregressive_distributed_lag.ipynb
• categorical_interaction_plot.ipynb
• chi2_fitting.ipynb
• contrasts.ipynb
• copula.ipynb
• count_hurdle.ipynb
• deterministics.ipynb
• discrete_choice_example.ipynb
• discrete_choice_overview.ipynb
• distributed_estimation.ipynb
• ets.ipynb
• exponential_smoothing.ipynb
• formulas.ipynb
• gee_nested_simulation.ipynb
• gee_score_test_simulation.ipynb
• generic_mle.ipynb
• glm.ipynb
• glm_formula.ipynb
• glm_weights.ipynb
• gls.ipynb
• influence_glm_logit.ipynb
• interactions_anova.ipynb
• kernel_density.ipynb
• linear_regression_diagnostics_plots.ipynb
• lowess.ipynb
• markov_autoregression.ipynb
• markov_regression.ipynb
• mediation_survival.ipynb
• metaanalysis1.ipynb
• mixed_lm_example.ipynb
• mstl_decomposition.ipynb
• ols.ipynb
• ordinal_regression.ipynb
• pca_fertility_factors.ipynb
• plots_boxplots.ipynb
• postestimation_poisson.ipynb
• predict.ipynb
• quantile_regression.ipynb
• quasibinomial.ipynb
• recursive_ls.ipynb
• regression_diagnostics.ipynb
• regression_plots.ipynb
• robust_models_0.ipynb
• robust_models_1.ipynb
• rolling_ls.ipynb
• star_diagram.png
• statespace_arma_0.ipynb
• statespace_chandrasekhar.ipynb
• statespace_concentrated_scale.ipynb
• statespace_custom_models.ipynb
• statespace_cycles.ipynb
• statespace_dfm_coincident.ipynb
• statespace_fixed_params.ipynb
• statespace_forecasting.ipynb
• statespace_local_linear_trend.ipynb
• statespace_news.ipynb
• statespace_sarimax_faq.ipynb
• statespace_sarimax_internet.ipynb
• statespace_sarimax_pymc3.ipynb
• statespace_sarimax_stata.ipynb
• statespace_seasonal.ipynb
• statespace_structural_harvey_jaeger.ipynb
• statespace_tvpvar_mcmc_cfa.ipynb
• statespace_varmax.ipynb
• stationarity_detrending_adf_kpss.ipynb
• stats_poisson.ipynb
• stats_rankcompare.ipynb
• stl_decomposition.ipynb
• theta-model.ipynb
• treatment_effect.ipynb
• tsa_arma_0.ipynb
• tsa_arma_1.ipynb
• tsa_dates.ipynb
• tsa_filters.ipynb
• variance_components.ipynb
• wls.ipynb

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Fabrice Bellet, Sun Apr 13 00:16:39 2025