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Could someone explain more clear "programming" part of probabilistic programming?...


bayesianpymcpymc3stanedward

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Anyone can tell me why we always use the gaussian distribution in Machine learning?...


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Plotting interaction effects in Bayesian models (using rstanarm)...


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Efficiently transforming NxJ matrix into an N-long array with J numbers...


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Maximum Likelihood Parameter Estimation...


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Why do we choose Beta distribution as a prior on hypothesis?...


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meaning of brm regression parameters...


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Bayesian Ordered Logit - Trying to plot predicted y over time based on a modal individual...


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Exponentiation of vector in JAGS model, Bayesian analysis in R...


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optimum number of clusters in K mean clustering using BIC, (MATLAB)...


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Walkers not "walking" in model fit using MCMC...


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Interpreting the confidence interval from CausalImpact...


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PyMC3 estimating size of closed population with time-varying capture probabilities...


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Pymc3 Conditional Posterior Sampling...


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Hyperpriors for hierarchical models with Stan...


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R gRain error - table dimensions do not match...


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JAGS logistic regression models with non-integer weights...


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Bayesian Statistics: Simulate in R, the experiment described above 10,000 times and each time note t...


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Define conditional linear Gaussian network using rjags...


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Remove a chain from a runjags object in R...


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R STAN - How to formulate multivariate co-variance matrix...


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Query regarding Naive Bayes algorithm in package e1071 R...


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rjags error Invalid vector argument to ilogit...


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How to change smoothing method of Naive Bayes classifier in NLTK?...


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unable to get the odds of a user- bayes theorm...


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PyMC3 large MvNormal prior...


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R bnlearn eval inside function...


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pymc3 - how to add HDI to traceplot?...


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Bayesian method: which part is hard to evaluate in Bayesian inference...


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What is pm.Normal.dist.logp?...


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