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- 【影视】 [CourseClub.Me] Coursera – Bayesian Statistics Specialization
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磁力链接
Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/02_clustering/01_mixture-models-for-clustering.mp4 112.9 MB- Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/03_definition-of-mixture-models/01_basic-definitions.mp4 109.1 MB
- Coursera - Bayesian Statistics Capstone Project/03_bayesian-location-mixture-of-ar-p-model/01_week-3/02_full-conditional-distributions-of-model-parameters.mp4 107.7 MB
- Coursera - Bayesian Statistics Mixture Models/02_maximum-likelihood-estimation-for-mixture-models/01_the-em-algorithm-for-mixture-models/01_em-for-general-mixtures.mp4 103.1 MB
- Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/03_classification/01_mixture-models-and-naive-bayes-classifiers.mp4 95.8 MB
- Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/01_definition-and-state-space-representation.mp4 83.7 MB
- Coursera - Bayesian Statistics Time Series Analysis/03_week-3-normal-dynamic-linear-models-part-i/02_bayesian-inference-in-the-ndlm-part-i/01_filtering.mp4 73.9 MB
- Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/02_examples.mp4 72.2 MB
- Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/01_seasonal-ndlms/01_fourier-representation.mp4 66.1 MB
- Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/05_parameter-identifiability.mp4 63.2 MB
- Coursera - Bayesian Statistics Capstone Project/01_bayesian-conjugate-analysis-for-autogressive-time-series-models/01_week-1/04_model-formulation.mp4 62.9 MB
- Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/01_density-estimation/01_density-estimation-using-mixture-models.mp4 61.0 MB
- Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/04_the-likelihood-function.mp4 59.1 MB
- Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/03_bernoulli-binomial-data/05_data-analysis-example-in-excel.mp4 54.5 MB
- Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/02_demonstration.mp4 51.2 MB
- Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/03_case-studies/01_eeg-data.mp4 49.3 MB
- Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/03_case-studies/02_google-trends.mp4 48.6 MB
- Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/03_8-anova/01_introduction-to-anova.mp4 47.8 MB
- Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/03_bayesian-inference/05_lesson-5-4-posterior-intervals.mp4 46.9 MB
- Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/04_poisson-data/01_lesson-8-1-poisson-data.mp4 46.3 MB
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