query: Murphy: A probabilistic perspective - Completing the in Variational Inference
positive_passages.docid: 96959
positive_passages.text: How do I complete the square with normal likelihood and normal prior?
negative_passages.docid: 137103
negative_passages.text: Random Gaussian Variables
negative_passages.docid: 31240
negative_passages.text: Prokhorov metric vs. total variation norm
negative_passages.docid: 37424
negative_passages.text: variational question
negative_passages.docid: 72166
negative_passages.text: Classification of Bayesian posterior probabilities
negative_passages.docid: 76745
negative_passages.text: Obtaining marginal distributions from the bivariate normal
negative_passages.docid: 86157
negative_passages.text: Vandermonde's Convolution special case.
negative_passages.docid: 43090
negative_passages.text: Understanding MCMC and the Metropolis-Hastings algorithm
negative_passages.docid: 104636
negative_passages.text: Bayesian Decision theory
negative_passages.docid: 28878
negative_passages.text: Convex function of independent vs. correlated random variables redux
negative_passages.docid: 105904
negative_passages.text: conditional probability of joints
negative_passages.docid: 36187
negative_passages.text: Introduction to frequentist statistics for Bayesians
negative_passages.docid: 100374
negative_passages.text: Understanding the Gram-Schmidt process
negative_passages.docid: 75113
negative_passages.text: Different covariance types for Gaussian Mixture Models
negative_passages.docid: 129748
negative_passages.text: Computation of the marginal likelihood from MCMC samples
negative_passages.docid: 106520
negative_passages.text: rigorous statistical-inference book recommendation
negative_passages.docid: 32548
negative_passages.text: On the importance of the i.i.d. assumption in statistical learning