Pertanyaan yang diberi tag markov-process

14
Contoh praktis untuk MCMC

Saya sedang menjalani beberapa kuliah yang berhubungan dengan MCMC. Namun, saya tidak menemukan contoh yang baik tentang bagaimana ini digunakan. Adakah yang bisa memberi saya contoh nyata. Yang bisa saya lihat adalah mereka menjalankan rantai Markov dan mengatakan bahwa distribusi stasionernya...

probability bayesian mcmc markov-process
10
Mengapa Anova () dan drop1 () memberikan jawaban berbeda untuk GLMM?

Saya memiliki GLMM formulir: lmer(present? ~ factor1 + factor2 + continuous + factor1*continuous + (1 | factor3), family=binomial) Ketika saya menggunakan drop1(model, test="Chi"), saya mendapatkan hasil yang berbeda daripada jika saya menggunakan Anova(model, type="III")dari paket mobil atau...

r anova glmm r mixed-model bootstrap sample-size cross-validation roc auc sampling stratification random-allocation logistic stata interpretation proportion r regression multiple-regression linear-model lm r cross-validation cart rpart logistic generalized-linear-model econometrics experiment-design causality instrumental-variables random-allocation predictive-models data-mining estimation contingency-tables epidemiology standard-deviation mean ancova psychology statistical-significance cross-validation synthetic-data poisson-distribution negative-binomial bioinformatics sequence-analysis distributions binomial classification k-means distance unsupervised-learning euclidean correlation chi-squared spearman-rho forecasting excel exponential-smoothing binomial sample-size r change-point wilcoxon-signed-rank ranks clustering matlab covariance covariance-matrix normal-distribution simulation random-generation bivariate standardization confounding z-statistic forecasting arima minitab poisson-distribution negative-binomial poisson-regression overdispersion probability self-study markov-process estimation maximum-likelihood classification pca group-differences chi-squared survival missing-data contingency-tables anova proportion
10
Nilai variabel tersembunyi regresi linear R "bernilai"

Ini hanya contoh yang saya temui beberapa kali, jadi saya tidak punya data sampel. Menjalankan model regresi linier di R: a.lm = lm(Y ~ x1 + x2) x1adalah variabel kontinu. x2bersifat kategorikal dan memiliki tiga nilai, mis. "Rendah", "Sedang" dan "Tinggi". Namun output yang diberikan oleh R akan...

r regression categorical-data regression-coefficients categorical-encoding machine-learning random-forest anova spss r self-study bootstrap monte-carlo r multiple-regression partitioning neural-networks normalization machine-learning svm kernel-trick self-study survival cox-model repeated-measures survey likert correlation variance sampling meta-analysis anova independence sample assumptions bayesian covariance r regression time-series mathematical-statistics graphical-model machine-learning linear-model kernel-trick linear-algebra self-study moments function correlation spss probability confidence-interval sampling mean population r generalized-linear-model prediction offset data-visualization clustering sas cart binning sas logistic causality regression self-study standard-error r distributions r regression time-series multiple-regression python chi-squared independence sample clustering data-mining rapidminer probability stochastic-processes clustering binary-data dimensionality-reduction svd correspondence-analysis data-visualization excel c# hypothesis-testing econometrics survey rating composite regression least-squares mcmc markov-process kullback-leibler convergence predictive-models r regression anova confidence-interval survival cox-model hazard normal-distribution autoregressive mixed-model r mixed-model sas hypothesis-testing mediation interaction