query: Approximate likelihood of covariance matrix by bootstrapping?
positive_passages.docid: 16157
positive_passages.text: Questions on parametric and non-parametric bootstrap
negative_passages.docid: 139577
negative_passages.text: Bootstrap methodology. Why resample "with replacement" instead of random subsampling?
negative_passages.docid: 102951
negative_passages.text: Likelihood vs conditional distribution for Bayesian analysis
negative_passages.docid: 74683
negative_passages.text: Computationally efficient estimation of multivariate mode
negative_passages.docid: 78093
negative_passages.text: Computation of likelihood when $n$ is very large, so likelihood gets very small?
negative_passages.docid: 88211
negative_passages.text: Generate normally distributed random numbers with non positive-definite covariance matrix
negative_passages.docid: 90215
negative_passages.text: Proof/Derivation of Residual Sum of Squares (Based on Introduction to Statistical Learning)
negative_passages.docid: 89077
negative_passages.text: Bootstrapped confidence intervals: different values at every computation?
negative_passages.docid: 101402
negative_passages.text: Equivalence between least squares and MLE in Gaussian model
negative_passages.docid: 38169
negative_passages.text: Bounds on off-diagonal entries of a correlation matrix
negative_passages.docid: 27143
negative_passages.text: Detecting significant predictors out of many independent variables
negative_passages.docid: 50060
negative_passages.text: Obtaining the likelihood of an individual observation
negative_passages.docid: 9381
negative_passages.text: How to derive variance-covariance matrix of coefficients in linear regression
negative_passages.docid: 8228
negative_passages.text: Validity of maximising log-likelihood for maximum likelihood estimation
negative_passages.docid: 136919
negative_passages.text: Finding the likelihood function of parameter vector
negative_passages.docid: 6293
negative_passages.text: Is there a way to use the covariance matrix to find coefficients for multiple regression?
negative_passages.docid: 48916
negative_passages.text: Determing two Nonlinear model fits with 95% confidence bands from one data set