Mark C Little

US Patent:

20140278236, Sep 18, 2014

Filed:

Mar 13, 2014

Appl. No.:

14/210301

Inventors:

Christian Macaro - Raleigh NC, US
Jan Chvosta - Raleigh NC, US
Mark Roland Little - Cary NC, US

Assignee:

SAS Institute Inc. - Cary NC

International Classification:

G06F 17/18

US Classification:

702179

Abstract:

Techniques for automated Bayesian posterior sampling using Markov Chain Monte Carlo and related schemes are described. In an embodiment, one or more values in an accuracy phase for a system configured for Bayesian sampling may be initialized. Sampling may be performed in the accuracy phase based upon the one or more values to generate a plurality of samples. The plurality of samples may be evaluated based upon one or more accuracy criteria. The accuracy phase may be exited when the plurality of samples meets the one or more accuracy criteria. Other embodiments are described and claimed.

US Patent:

20140278239, Sep 18, 2014

Filed:

Mar 18, 2014

Appl. No.:

14/217858

Inventors:

Christian Macaro - Raleigh NC, US
Jan Chvosta - Raleigh NC, US
Mark Roland Little - Cary NC, US

Assignee:

SAS INSTITUTE INC. - Cary NC

International Classification:

G06F 17/18

US Classification:

702181

Abstract:

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.

US Patent:

20140278335, Sep 18, 2014

Filed:

Mar 13, 2014

Appl. No.:

14/210259

Inventors:

Christian Macaro - Raleigh NC, US
Jan Chvosta - Raleigh NC, US
Mark Roland Little - Cary NC, US

Assignee:

SAS INSTITUTE INC. - Cary NC

International Classification:

G06F 17/50

US Classification:

703 21

Abstract:

Techniques for automated Bayesian posterior sampling using Markov Chain Monte Carlo and related schemes are described. In an embodiment, one or more values in a stationarity phase for a system configured for Bayesian sampling may be initialized. Sampling may be performed in the stationarity phase based upon the one or more values to generate a plurality of samples. The plurality of samples may be evaluated based upon one or more stationarity criteria. The stationarity phase may be exited when the plurality of samples meets the one or more stationarity criteria. Other embodiments are described and claimed.

US Patent:

20140279816, Sep 18, 2014

Filed:

Mar 13, 2014

Appl. No.:

14/210361

Inventors:

Christian Macaro - Raleigh NC, US
Jan Chvosta - Raleigh NC, US
Mark Roland Little - Cary NC, US

Assignee:

SAS INSTITUTE INC. - Cary NC

International Classification:

G06N 7/00

US Classification:

706 52

Abstract:

Various embodiments are generally directed to techniques for producing statistically correct and efficient combinations of multiple simulated posterior samples from MCMC and related Bayesian sampling schemes are described. One or more chains from a Bayesian posterior distribution of values may be generated. It may be determine whether the one or more chains have reached stationarity through parallel processing on a plurality of processing nodes. Based upon the determination, each of the one or more chains that have reached stationarity through parallel processing on the plurality of processing nodes may be sorted. The one or more sorted chains may be resampled through parallel processing on the plurality of processing nodes. The one or more resampled chains may be combined. Other embodiments are described and claimed.

US Patent:

20140279819, Sep 18, 2014

Filed:

Mar 18, 2014

Appl. No.:

14/217707

Inventors:

Christian Macaro - Raleigh NC, US
Jan Chvosta - Raleigh NC, US
Mark Roland Little - Cary NC, US

Assignee:

SAS INSTITUTE INC. - Cary NC

International Classification:

G06N 7/00

US Classification:

706 52

Abstract:

Various embodiments are directed to techniques for selecting a subset of a set of simulated samples. A computer-program product including instructions to cause a computing device to order a plurality of UPDFs by UPDF value, wherein the plurality of UPDFs is associated with a chain of draws of a set of simulated samples, wherein each draw comprises multiple parameters and the UPDF values map to parameter values of the parameters; select a subset of the plurality of UPDFs based on the subset of the plurality of UPDFs having UPDF values within a range corresponding to a range of parameter values to include in a subset of the set of simulated samples; and transmit an indication of a draw comprising parameters having parameter values to include in the subset of the set of simulated samples, wherein the indication identifies the draw by associated UPDF. Other embodiments are described and claimed.