• # refund

• Referenced in 63 articles [sw07434]
• intervals that account for both model- and decomposition-based variability are constructed. Standard mixed model ... variances conditional on a specific decomposition. Iterated expectation and variance formulas combine model-based conditional...
• # vars

• Referenced in 35 articles [sw04507]
• testing, forecasting, causality analysis, forecast error variance decomposition and impulse response functions of VAR models...
• # Mixmod

• Referenced in 37 articles [sw06991]
• different assumptions regarding the component variance matrix eigenvalue decomposition. Moreover, different information criteria for choosing...
• # perturb

• Referenced in 2 articles [sw04531]
• variables. ”colldiag” calculates condition numbers and variance decomposition proportions to test for collinearity and uncover...
• # BVAR

• Referenced in 1 article [sw40878]
• impulse responses, calculate forecasts, forecast error variance decompositions and scenarios are available. Several methods...
• # corpor

• Referenced in 24 articles [sw09381]
• shrinkage estimators for partial correlations and partial variances. The inverse of the covariance and correlation ... functions are available for fast singular value decomposition, for computing the pseudoinverse, and for checking...
• # corpcor

• Referenced in 15 articles [sw10199]
• shrinkage estimators for partial correlations and partial variances. The inverse of the covariance and correlation ... functions are available for fast singular value decomposition, for computing the pseudoinverse, and for checking...
• # Shift

• Referenced in 4 articles [sw18322]
• variance reduction methods such as the Consistent Adjoint-Driven Importance Sampling methodology, advanced parallel decompositions...
• # DECIS

• Referenced in 4 articles [sw21978]
• problem, Monte Carlo sampling within the Benders decomposition algorithm, and Monte Carlo pre-sampling. When ... option of employing crude Monte Carlo without variance reduction techniques, or using as variance reduction...
• # curvclust

• Referenced in 6 articles [sw07435]
• method is based on a wavelet decomposition of the signal for both fixed and random ... appropriate structure for the random effect variance, we ensure that both fixed and random effects...
• # PIMD

• Referenced in 1 article [sw03372]
• estimators, and high-temperature density matrix (HTDM) decompositions relevant for path integral simulations are discussed ... variance does not increase significantly with $P$. Two non-primitive HTDM decompositions are compared...