### Table 4. Nonlinear regression parameter estimates for bivariate Gaussian model shown in Eq. 3-5. Parameter Estimate

2003

"... In PAGE 5: ... This model is fit to the data using nonlinear regression. The parameter estimates from the model fit are shown in Table4 , and an ANOVA table is shown in Table 5. In addition, a graphical representation of the model is shown in Figure 10.... ..."

Cited by 5

### Table 1. Values of for the copula of the bivariate t-distribution for various values of , the degrees of freedom, and , the correlation. Last row represents the Gaussian copula.

2002

Cited by 67

### Table 1: Discrete two-dimensional experiments: Scaling in estimation sample size D8. Distributions are bivariate Gaussians discretized on 21 x 21 grid. 1000 repetitions. AM C8

"... In PAGE 5: ... Interestingly, these experiments also show that it is not always best to sample directly from the target distri- bution C8 when the random variable CU has a substantially different structure. We also tested GIS on a simple multi- variate problem, and Table1 shows that GIS handles mul-... ..."

### Table 5: Mixture of Gaussians experiment: Scaling in sam- ple size D8. Target distribution is a mixture of two bivariate Gaussians, proposal distribution is a single bivariate Gaus- sian. 1000 repetitions. AMC8BC BP AMC9 BP CJBCBN BCCL, AMC8BD BP CJBDBIBN BDBICL, A6C8CX BP C1, A6C9 BP BIBEC1.

2000

"... In PAGE 8: ... In this case, we once again find that GIS performs reasonably well. Table5 shows that GIS exhibits good performance on this problem and appears to... ..."

Cited by 3

### Table 5: Mixture of Gaussians experiment: Scaling in sam- ple size D8. Target distribution is a mixture of two bivariate Gaussians, proposal distribution is a single bivariate Gaus- sian. 1000 repetitions. AM C8 BC BP AM C9 BPCJBCBNBCCL, AM C8 BD BP CJBDBIBN BDBICL,

"... In PAGE 8: ... In this case, we once again find that GIS performs reasonably well. Table5 shows that GIS exhibits good performance on this problem and appears to... ..."

### Table 8: Proton Weibull Parameters

2004

"... In PAGE 31: ...31 Table8 gives the parameters selected to fit the data in accordance to the Weibull model (note the substitution of proton energy for LET). Table 8: Proton Weibull Parameters ... ..."

### TABLE V: RANGE OF WEIBULL DISTRIBUTION PARAMETERS Weibull Parameter Minimum Maximum

1999

Cited by 8

### Table 5 Univariate Bivariate

2000

"... In PAGE 25: ...eriods (i.e., a total of kt dummies). In the one-step method, there are only k time-invariant Federal Reserve district dummies, and macro effects are modelled much more parsimoniously as a linear function of changes in monetary policy and GDP.33 Table5 presents an overview of the estimates of N generated by the one-step approach. As can be seen, the point estimates are generally quite close to those in Table 3.... In PAGE 28: ... If we base our calculation on the bivariate small-bank/big-bank coefficient differential of -.1327 in Panel A of Table5 , we get a 5.3% gap in the level of C amp;I loans across the liquid and illiquid small banks one year after the rise in the funds rate.... ..."

Cited by 13

### Table 4 Bivariate Results

"... In PAGE 14: ... Cross Section Regressions on Institutional Variables The i nstitutional variables show vary little variation across time and therefore are primarily identifying cross-country differences in the likelihood of banking distress and crisis. Recognizing this data limitation, Table4 reports probit regressions using cross-section (across countries) data where the dependent variable is banking distress (crisis). In these regressions the dependent variable takes on a value of unity if the country in question experienced an episode of banking distress (crisis) at any time during the sample period.... In PAGE 14: ... The right-hand-side variables are the institutional variables either individually (in the upper first and second panels) or jointly (in third panel). The first (second) panel of Table4 reports the results from the bivariate regr essions with banking distress (crisis) as the dependent variable regressed on each of the new institutional variables investigated in this study. (Constant terms are included in all of the regressions but are not reported for brevity).... ..."

### Table 6 Univariate Bivariate

2000

"... In PAGE 26: ... Everything else is exactly as before. Table6 gives an overview of the results. As it turns out, the numbers are very similar to those in Table 3.... In PAGE 26: ... As it turns out, the numbers are very similar to those in Table 3. Of course, we recognize that Table6 does not by itself represent an ironclad argument against endogeneity concerns. Still, when one combines it with the several other lines of defense offered earlier, it becomes highly unlikely that our main conclusions are driven by endogeneity biases.... ..."

Cited by 13