ghk2() estimates cumulative multivariate normal probabilities and optionally computes scores. It is modeled on Stata 10's ghkfast(), using pre-generated draws for speed. It differs in the following significant respects: (1) It accepts lower as well as upper bounds of integration. (2) It works in Stata 9. (3) It is an order of magnitude faster than ghkfast() when the number of observations is high relative to the number of simulation draws per observation, though it can be slower at the opposite extreme. (4) It does not "pivot" bounds of integration, putting the larger entries toward the end, which somewhat increases the variability of the simulated probability but eliminates discontinuities in the function that can otherwise stymie a likeli...
We study the empirical size and power of some recently proposed tests for multivariate normality (MV...
A major stumbling block in multivariate discrete data analysis is the problem of evaluating the outc...
A methodology has been developed and Fortran 90 programs have been written to evaluate multivariate ...
We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata...
We study the performance of alternative sampling methods for estimating multivariate normal probabil...
We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata...
We study the performance of alternative sampling methods for estimating multivariate normal probabil...
An accurate and efficient numerical approximation of the multivariate normal (MVN) distribution func...
This paper discusses the advantages of Halton sequences over pseudorandom uniform numbers when using...
An extensive literature in econometrics and in numerical analysis has considered the problem of eval...
International audienceWe study the computation of Gaussian orthant probabilities, i.e. the probabili...
The role of Multivariate Normal Probabilities in Econometric Models has in the past been somewhat re...
mgof computes goodness-of-fit tests for the distribution of a discrete (categorical, multinomial) va...
Monte Carlo methods are a fundamental tool in many areas of statistics. In this thesis, we will exam...
An extensive literature in econometrics and in numerical analysis has considered the computationally...
We study the empirical size and power of some recently proposed tests for multivariate normality (MV...
A major stumbling block in multivariate discrete data analysis is the problem of evaluating the outc...
A methodology has been developed and Fortran 90 programs have been written to evaluate multivariate ...
We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata...
We study the performance of alternative sampling methods for estimating multivariate normal probabil...
We discuss methods for calculating multivariate normal probabilities by simulation and two new Stata...
We study the performance of alternative sampling methods for estimating multivariate normal probabil...
An accurate and efficient numerical approximation of the multivariate normal (MVN) distribution func...
This paper discusses the advantages of Halton sequences over pseudorandom uniform numbers when using...
An extensive literature in econometrics and in numerical analysis has considered the problem of eval...
International audienceWe study the computation of Gaussian orthant probabilities, i.e. the probabili...
The role of Multivariate Normal Probabilities in Econometric Models has in the past been somewhat re...
mgof computes goodness-of-fit tests for the distribution of a discrete (categorical, multinomial) va...
Monte Carlo methods are a fundamental tool in many areas of statistics. In this thesis, we will exam...
An extensive literature in econometrics and in numerical analysis has considered the computationally...
We study the empirical size and power of some recently proposed tests for multivariate normality (MV...
A major stumbling block in multivariate discrete data analysis is the problem of evaluating the outc...
A methodology has been developed and Fortran 90 programs have been written to evaluate multivariate ...