Approximate multivariate posterior probability distributions from simulated samples
AssigneeSAS Institute Inc.
InventorsChristian Macaro, Jan Chvosta, Mark Roland Little
Life of this patent
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AssigneeSAS Institute Inc.
InventorsChristian Macaro, Jan Chvosta, Mark Roland Little
Estimating the term…
Various embodiments are directed to techniques for deriving a sample representation from a random sample. A computer-program product includes instructions to cause a first computing device to fit an empirical distribution function to a marginal probability distribution of a variable within a first sample portion of a random sample to derive a partial marginal probability distribution approximation, wherein the random sample is divided into multiple sample portions distributed among multiple computing devices; fit a first portion of a copula function to a multivariate probability distribution of the first sample portion, wherein the copula function is divided into multiple portions; and transmit an indication of a first likelihood contribution of the first sample portion to a coordinating device to cause a second computing device to fit a second portion of the copula function to a multivariate probability distribution of a second sample portion. Other embodiments are described and claimed.
A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, the computer-program product including instructions operable to cause a first computing device to perform operations including:
A computer-implemented method comprising:
An apparatus comprising:
Dependencies are inferred from the claim text.